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Learn Python - Full Course for Beginners [Tutorial]

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11.07.2018

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! Want more from Mike? He's starting a coding RPG/Bootcamp - 🤍 ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: 🤍 🐦Follow Mike on Twitter - 🤍 🔗If you liked this video, Mike accepts donations on his website: 🤍 ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: 🤍 💻C: 🤍 💻SQL: 🤍 💻Ruby: 🤍 💻PHP: 🤍 💻C#: 🤍 Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍 And subscribe for new videos on technology every day: 🤍

Python for Beginners - Learn Python in 1 Hour

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16.09.2020

This Python tutorial for beginners show how to get started with Python quickly. Learn to code in 1 hour! Watch this tutorial get started! 👍 Enjoyed this video? Please vote for me for Top Tech YouTuber: 🤍 👍 Subscribe for more Python tutorials like this: 🤍 🔥 Want to learn more? Watch my complete Python course: 🤍 📕 Get my FREE Python cheat sheet: 🤍 Courses: 🤍 Twitter: 🤍 Facebook: 🤍 Blog: 🤍 #Python, #MachineLearning, #WebDevelopment 📔 Python Exercises for Beginners: 🤍 ⭐ My Favorite Python Books - Python Crash Course: 🤍 - Automate the Boring Stuff with Python: 🤍 - A Smarter Way to Learn Python: 🤍 - Machine Learning for Absolute Beginners: 🤍 - Hands-on Machine Learning with scikit-learn and TensorFlow: 🤍 TABLE OF CONTENT 0:00:00 Introduction 0:00:30 What You Can Do With Python 0:01:15 Your First Python Program 0:05:30 Variables 0:09:08 Receiving Input 0:10:48 Type Conversion 0:18:49 Strings 0:23:41 Arithmetic Operators 0:25:59 Operator Precedence 0:27:11 Comparison Operators 0:28:52 Logical Operators 0:31:06 If Statements 0:36:16 Exercise 0:41:42 While Loops 0:45:11 Lists 0:48:47 List Methods 0:52:16 For Loops 0:54:54 The range() Function 0:57:43 Tuples

Python Tutorial - Python for Beginners [Full Course]

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18.02.2019

Python tutorial - Python for beginners - Go from Zero to Hero with Python (includes machine learning & web development project). 👍 Enjoyed this video? Please vote for me for Top Tech YouTuber: 🤍 🔥 Want to master Python? Get my Python mastery course: 🤍 👍 Subscribe for more Python tutorials like this: 🤍 👉 Watch the new edition: 🤍 📕 Get my FREE Python cheat sheet: 🤍 Want to learn more from me? Courses: 🤍 Twitter: 🤍 Facebook: 🤍 Blog: 🤍 #Python, #MachineLearning, #WebDevelopment 🔗Supplementary Materials (Spreadsheet): 🤍 📔Python Exercises for Beginners: 🤍 ⭐My Favorite Python Books - Python Crash Course: 🤍 - Automate the Boring Stuff with Python: 🤍 - A Smarter Way to Learn Python: 🤍 - Machine Learning for Absolute Beginners: 🤍 - Hands-on Machine Learning with scikit-learn and TensorFlow: 🤍 TABLE OF CONTENT 00:00:00 Introduction 00:01:49 Installing Python 3 00:06:10 Your First Python Program 00:08:11 How Python Code Gets Executed 00:11:24 How Long It Takes To Learn Python 00:13:03 Variables 00:18:21 Receiving Input 00:22:16 Python Cheat Sheet 00:22:46 Type Conversion 00:29:31 Strings 00:37:36 Formatted Strings 00:40:50 String Methods 00:48:33 Arithmetic Operations 00:51:33 Operator Precedence 00:55:04 Math Functions 00:58:17 If Statements 01:06:32 Logical Operators 01:11:25 Comparison Operators 01:16:17 Weight Converter Program 01:20:43 While Loops 01:24:07 Building a Guessing Game 01:30:51 Building the Car Game 01:41:48 For Loops 01:47:46 Nested Loops 01:55:50 Lists 02:01:45 2D Lists 02:05:11 My Complete Python Course 02:06:00 List Methods 02:13:25 Tuples 02:15:34 Unpacking 02:18:21 Dictionaries 02:26:21 Emoji Converter 02:30:31 Functions 02:35:21 Parameters 02:39:24 Keyword Arguments 02:44:45 Return Statement 02:48:55 Creating a Reusable Function 02:53:42 Exceptions 02:59:14 Comments 03:01:46 Classes 03:07:46 Constructors 03:14:41 Inheritance 03:19:33 Modules 03:30:12 Packages 03:36:22 Generating Random Values 03:44:37 Working with Directories 03:50:47 Pypi and Pip 03:55:34 Project 1: Automation with Python 04:10:22 Project 2: Machine Learning with Python 04:58:37 Project 3: Building a Website with Django

Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]

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05.03.2021

Python Tutorial for Beginners | Full Python Course | Learn Python in 2022 In this complete Python course you will learn everything you need to get started with Python. 🚀 🤩 By the end of this course, you will have a good understanding of the concepts and hands-on experience with several demo projects you can follow along. Python is the most popular programming language out there and it is used for so many different industries, like: Web Development, Data Science, Machine Learning and DevOps Automation. So learning Python is definitely a good idea! 💪 #python #techworldwithnana ▬▬▬▬▬▬ S P E C I A L O F F E R 🎉 ▬▬▬▬▬▬ Want to try PyCharm Professional Edition? JetBrains provided me with a 100% discount code! 🙂 With "PYCHARMFORDEVOPS" you can try PyCharm Professional for 3-month! ► Use this code at: 🤍 ► Valid until Jun 30, 2021 (extended until Sept 30, 2021) ► Thanks JetBrains for making this course possible! 🙌🏼 ► Check out their all-in-one collaboration solution: Space! Get started for free: 🤍 ▬▬▬▬▬▬ U S E F U L L I N K S 🔗 ▬▬▬▬▬▬ ► GitLab Source Code: 🤍 ► Inventory.xls file: 🤍 ► PyCharm Download: 🤍 ► Python Installation Steps for Windows - Important click "Add to PATH" 🤍 ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 - Course Intro & Course Overview 2:53 - Introduction to Python 07:01 - Installation and Local Setup with PyCharm 14:10 - Write our first Python program 15:33 - Python IDE vs simple File Editor 19:04 - Strings and Number Data Types 30:11 - Variables in Python 39:33 - Encapsulate Logic with Functions 54:00 - Scope 59:50 - Accepting User Input 1:15:28 - Conditionals (if / else) and Boolean Data Type 1:44:18 - Error Handling with Try / Except 1:50:11 - While Loops 2:02:43 - Lists and For Loops 2:21:51 - Thanks JetBrains! 2:23:17 - Comments in Python 2:27:23 - Sets 2:38:31 - Built-In Functions 2:44:25 - Dictionary Data Type 3:01:32 - Modularize your project with Modules 3:20:09 - Project: Countdown App 3:40:27 - Packages, PyPI and pip 3:54:06 - Project: Automation with Python (Working with Spreadsheets) 4:44:02 - Object Oriented Programming: Classes and Objects 5:14:35 - Project: API Request to GitLab 5:30:23 - Wrap Up ▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬ Full Docker course ► 🤍 Full K8s course course ► 🤍 DevOps Tools, like Terraform ► 🤍 GitHub Actions CI/CD ► 🤍 ▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬ FB group ► 🤍 DEV ► 🤍 INSTAGRAM ► 🤍 TWITTER ► 🤍 LINKEDIN ► 🤍 ▬▬▬▬▬▬ Courses & Ebooks & Bootcamp 🚀 ▬▬▬▬▬▬ ► Become a DevOps Engineer - full educational program 👉🏼 🤍 ► Udemy courses - get biggest discounts here 👉🏼 🤍 ► Kubernetes 101 - compact and easy-to-read ebook bundle 👉🏼 🤍

Python Tutorial For Beginners In Hindi (With Notes) 🔥

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11:52:24
24.09.2020

Learn Python One Video in Hindi: This Python Programming in Hindi tutorial is a complete python course in Hindi comprising of 13 Python chapters and 3 Python Projects. After watching this course you can learn Python programming easily in Hindi. This Python programming course for beginners in Hindi is designed keeping in mind the current trend and recent changes in Python. This course is designed to teach Python to beginners making it one of the best sources to learn python in Hindi for beginners. Get ready to learn python programming in a fun way and make sure to download the python notes which are included with this video. Hope you enjoy this course on python programming for beginners in Hindi. Download Python in Hindi Notes & Other Material (Scroll to the bottom): 🤍 Mirror: 🤍 ►TimeStamps: Course Logistics: 00:00:00 Chapter 0 - Introduction: 00:08:58 Chapter 1 - Modules, Comments & Pip: 00:14:17 Chapter 1 - Practice Set: 00:33:10 Chapter 2 - Variables & Data Types: 00:44:35 Chapter 2 - Practice Set: 01:25:10 Chapter 3 - Strings: 01:39:10 Chapter 3 - Practice Set: 02:16:56 Chapter 4 - Lists & Tuples: 02:35:04 Chapter 4 - Practice Set: 03:07:10 Chapter 5 - Dictionary & Sets: 03:20:12 Chapter 5 - Practice Set: 03:57:25 Chapter 6 - Conditional Expressions: 04:19:21 Chapter 6 - Practice Set: 04:48:53 Chapter 7 - Loops in Python: 05:14:34 Chapter 7 - Practice Set: 05:45:11 Chapter 8 - Functions & Recursion: 06:07:35 Chapter 8 - Practice Set: 06:36:28 Project 1 - Snake, Water, Gun Game: 06:52:30 Chapter 9 - File I/O: 07:06:55 Chapter 9 - Practice Set: 07:28:11 Chapter 10 - Object Oriented Programming: 08:08:38 Chapter 10 - Practice Set: 09:17:22 Chapter 11 - Inheritance: 09:48:30 Chapter 11 - Practice Set: 10:55:24 Project 2 - The Perfect Guess 11:37:01 Part 2 of this video: 🤍 ►Covered in Part 2 of this Video: Chapter 12 - Advanced Python 1 Chapter 12 - Practice Set Chapter 13 - Advanced Python 2 Chapter 13 - Practice Set Project 3 - Library Management System ►Checkout my English channel here: 🤍 ►Click here to subscribe - 🤍 Best Hindi Videos For Learning Programming: ►Learn Python In One Video - 🤍 ►Python Complete Course In Hindi - 🤍 ►C Language Complete Course In Hindi - 🤍 ►JavaScript Complete Course In Hindi - 🤍 ►Learn JavaScript in One Video - 🤍 ►Learn PHP In One Video - 🤍 ►Django Complete Course In Hindi - 🤍 ►Machine Learning Using Python - 🤍 ►Creating & Hosting A Website (Tech Blog) Using Python - 🤍 ►Advanced Python Tutorials - 🤍 ►Object Oriented Programming In Python - 🤍 ►Python Data Science and Big Data Tutorials - 🤍 Follow Me On Social Media ►Website (created using Flask) - 🤍 ►Facebook - 🤍 ►Instagram - 🤍 ►Personal Facebook A/c - 🤍 Twitter - 🤍

you need to learn Python RIGHT NOW!! // EP 1

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14.08.2021

What I use to learn (the BEST IT training): 🤍 (30% off FOREVER) *affiliate link 🔎🔎FREE Python Lab: 🤍 Support the course: 🤍 🔥🔥Join the NetworkChuck membership: 🤍 Sponsored by ITProTV SUPPORT NETWORKCHUCK - ➡️NetworkChuck membership: 🤍 ☕☕ COFFEE and MERCH: 🤍 Check out my new channel: 🤍 🆘🆘NEED HELP?? Join the Discord Server: 🤍 STUDY WITH ME on Twitch: 🤍 READY TO LEARN?? - -Learn Python: 🤍 -Get your CCNA: 🤍 FOLLOW ME EVERYWHERE - Instagram: 🤍 Twitter: 🤍 Facebook: 🤍 Join the Discord server: 🤍 0:00 ⏩ Intro 1:23 ⏩ FREE Python lab 2:39 ⏩ your FIRST Python code (hello world) 3:20 ⏩ What is Python? 4:16 ⏩ DEEP DIVE: Hello World!! 4:43 ⏩ “Strings” 6:35 ⏩ Comments 8:22 ⏩ Erros in Python 10:30 ⏩ “””multi-line strings””” 11:42 ⏩ Add strings together (concatenate) AFFILIATES & REFERRALS - (GEAR I USE...STUFF I RECOMMEND) My network gear: 🤍 Amazon Affiliate Store: 🤍 Buy a Raspberry Pi: 🤍 #python #pythonrightnow #learnpython TAGS: Python, python for hackers, python for everyone, python for everybody, python right now, you need to learn python right now, learn python, python for beginners

Learn PYTHON in 5 MINUTES

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07.07.2018

In this video we'll be learning as much Python as we can in 5 minutes. (Well six actually ...) Go to 🤍 for more! Link to DigitalOcean: 🤍 Link to howCode Facebook: 🤍 Link to howCode Twitter: 🤍 Link to /r/howCode: 🤍 Don't forget to subscribe for more!

Learn Python by Building Five Games - Full Course

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06.11.2019

Learn Python in this full tutorial course for beginners. This course takes a project-based approach. We have collected five great Python game tutorials together so you can learn Python while building five games. If you learn best by doing, this is the course for you. 🎥 Learn Python syntax in our other Python course: 🤍 🎥 Learn Pygame: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:01:18) Pong 🔈 Sound file: 🤍 💻 Code: 🤍 🔗 Tutorial from Christian Thompson. Channel: 🤍 ⌨️ (0:45:36) Snake 💻 Code: 🤍 🔗 Tutorial from Tech with Tim. Channel: 🤍 ⌨️ (1:34:57) Connect Four 💻 Code: 🤍 🔗 Tutorial from Keith Galli. Channel: 🤍 ⌨️ (2:42:36) Tetris 💻 Starter File: 🤍 💻 Full Code: 🤍 🔗 Tutorial from Tech with Tim. Channel: 🤍 ⌨️ (4:22:12) Online Multiplayer Game 💻 Code: 🤍 🔗 Tutorial from Tech with Tim. Channel: 🤍 Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍 And subscribe for new videos on technology: 🤍

Python Full Course - Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka

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11:56:22
01.12.2019

🔵Edureka Python Programming Certification Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): 🤍 This Edureka video on Python Full Course will help you learn the Python programming language and its core concepts with examples from scratch. Below are the topics covered in this Python tutorial video: 00:00 Introduction 01:55 What is Python? 03:40 Why is Python popular? 04:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping 🔹Edureka Community: 🤍 🔹Edureka Python Tutorial Playlist: 🤍 🔹Edureka Python Tutorial Blogs: 🤍 - Edureka Python Courses 🔵Python Programming Certification: 🤍 🔵Python Certification Training for Data Science: 🤍 🔵Python Masters Program: 🤍 🔵Data Scientist Masters Program: 🤍 Got a question on the topic? Share in the comments. For more information, please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Python Tutorial for Absolute Beginners #1 - What Are Variables?

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26.12.2017

Learn Python programming with this Python tutorial for beginners! Tips: 1. Here is the playlist of this series: 🤍 2. If you want to learn faster than I talk, I’d recommend 1.25x or 1.5x speed :) 3. Check the outline in the comment section below if you want to skip around. 4. Download the sample files here to follow along (they are Jupyter Notebook files): 🤍 5. Have fun! If anything is unclear, please let me know in a comment. Keep in touch on Facebook: 🤍 Subscribe to my newsletter: 🤍 Support me on Patreon: 🤍 Outline (check the comment section for a clickable version): 0:00 : Introduction 0:17 : Who’s this tutorial for? 0:30 : An outline of this video 1:18 : What is Python and what can you do with it? 2:01 : What is IDE and why I chose Jupyter Notebook 3:09 : How Jupyter Notebook works 4:19 : How to install Python and Jupyter (through Anaconda) 5:58 : Launching Jupyter 7:59 : The print() function 10:24 : Introduction to variables 13:08 : What are variables (in Python)? 16:42 : Assigning a variable to another variable 19:03 : A practice problem - swapping two variables 20:40 : Solutions to the practice problem - swapping two variables

Python Tutorial for Beginners | Learn Python in 1.5 Hours

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02.12.2021

This video is made with a lot of love from Apna College ❤️ 🔥For (Window Users) download PyScripter - 🤍 - Free & Open Source Download Python - (🤍 (Windows & Mac) Note - This video shows installation of 2 Python editors, both are free to use. For window users I have downloaded PyScripter in this video. Link to the Notes - 🤍 Timestamps : 00:00 - Introduction 01:38 - Install Python (Windows & Mac - both) 02:14 - Install PyScripter (only for Windows) 02:56 - How to work with PyScripter? 05:21 - Install PyCharm (Windows & Mac - both) 07:44 - Creating a file 09:05 - 1st Program (Output) 11:18 - Variables 15:04 - Exercise 1 15:50 - Input 17:18 - Concatenation 17:30 - Exercise 2 17:52 - Type Conversion 21:29 - Print Sum of 2 Numbers 23:35 - Strings 28:48 - Keywords 30:21 - Arithmetic Operators 33:06 - Shortcuts 34:00 - Operator Precedence 35:20 - Comments 36:53 - Comparison Operators 39:05 - Logical Operators 40:36 - If-else 44:32 - Mini-Project 47:51 - Range 48:56 - Loops (while Loop) 53:16 - for Loop 54:21 - List 57:48 - for Loop in List 01:01:14 - Break & Continue 01:03:54 - Tuple 01:06:04 - Set 01:08:24 - Dictionary 01:10:45 - Functions

How to Learn Python Tutorial - Easy & simple! Learn How to Learn Python!

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00:10:07
21.08.2018

Ex-Google Tech Lead teaches you how to learn Python Programming in this tutorial. You will learn the fundamentals of how to learn Python, server backends and frameworks, databases, frontend, pet projects, and examining what is involved in learning how to set up a Python project that can help you land a job in tech! *NEW* Join me in DeFi Pro and make passive income with crypto. 🤍 Join ex-Google/ex-Facebook engineers for my coding interview training: 🤍 🚀🌕 Million Token: 🤍 💻 100+ Videos of programming interview problems explained: 🤍 💻 Sign up for my FREE daily coding interview practice: 🤍 📷 Learn how I built a $1,000,000+ business on YouTube: 🤍 💵 Get 2 FREE Stocks on WeBull valued up to $2000: 🤍 🛒 All my computer/camera gear: 🤍 🎁 Get the TechLead wallet (ultra thin) on Amazon: 🤍 💁 My favorite desk: 🤍 ⌨️ My favorite mechanical keyboards: 🤍 🎉 Party up: 🤍 🤍 Disclosure: Some links are affiliate links to products. I may receive a small commission for purchases made through these links. #techlead

Why You Shouldn’t Learn Python In 2021

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00:09:41
13.12.2020

Python is the most popular programming language in the world right now. So, why do I tell people not to learn it? There are multiple reasons for this, but the biggest is that Python doesn't provide a path to success. It is a tool and can be used for many things, but it is not ideal if you are a new programmer. New programmers should pick a path, especially the paths I list in this video. If you want to know WHAT you should learn in 2021 as a new programmer, watch it! Learn today: 🤍 Follow us on social Linkedin: 🤍 Instagram: 🤍 Facebook: 🤍 Twitter: 🤍

Python As Fast as Possible - Learn Python in ~75 Minutes

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01:19:41
04.10.2020

This python tutorial aims to teach you python as fast as possible. This python speed course will cover all the fundamentals of python and give you a quick overview of all of the main python features. ⭐️ Thanks to Simplilearn for sponsoring this video and giving you all a 10% discount on their Data Scientist Master's program by using the code: YT10 ⭐️ 🤍 📚 Other Learning Resources 📚 📕 Beginner Python Tutorial Series: 🤍 📗 Intermediate Python Tutorial Series: 🤍 📘 Expert Python Tutorial Series: 🤍 ⭐️ Timestamps ⭐️ 00:00:00 - Introduction 00:00:40 - Setup & Installation 00:01:34 - What Python is Used For 00:02:14 - Data Scientist Master's Program 00:03:03 - Data Types 00:04:57 - Output & Printing 00:07:32 - Variables 00:10:20 - User Input 00:12:38 - Arithmetic Operator 00:18:34 - String Methods 00:22:19 - Conditional Operators 00:28:10 - Chained Conditionals 00:31:26 - If/Else/Elif 00:35:41 - List/Tuples 00:41:32 - For Loops 00:46:02 - While Loops 00:47:33 - Slice Operator 00:50:46 - Sets 00:54:29 - Dicts 00:57:40 - Comprehensions 01:00:33 - Functions 01:03:12 - *args & kwargs 01:09:12 - Scope & Globals 01:10:42 - Exceptions 01:11:28 - Handling Exceptions 01:13:08 - Lambda 01:14:19 - Map and Filter 01:17:30 - F Strings 01:18:43 - Conclusion ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 🔊 Subscribe to my second channel for weekly podcasts! 🤍 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode VideoMic Pro): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Blue Yeti USB Mic): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Steelseries Rival 300): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Main Monitor (LG 4K): 🤍 💻 Secondary Monitor (Thinkvision 1080p): 🤍 🎤 XLR Microphone (Rode NT1): Not available 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Behringer 4 Channel): 🤍 💾 Recorder (Zoom H6): 🤍 ◾ 💸 Donations 💸 ◾ 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ ⚡ Please leave a LIKE and SUBSCRIBE for more content! ⚡ ⭐ Tags ⭐ - Tech With Tim - Python - Python Speed Course - Python as Fast As Possible - Python Tutorial - Python Fundementals ⭐ Hashtags ⭐ #Python #PythonSpeedCourse

Python Full Course 🐍 (𝙁𝙧𝙚𝙚)

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15.02.2021

Python tutorial for beginners full course #python #tutorial #beginners ⭐️Time Stamps⭐️ #1 (00:00:00)​ Python tutorial for beginners 🐍 #2 (00:05:57​) variables ✘ #3 (00:17:38​) multiple assignment 🔠 #4 (00:20:27​) string methods 〰️ #5 (00:25:13​) type cast 💱 #6 (00:30:14​) user input ⌨️ #7 (00:36:50​) math functions 🧮 #8 (00:40:58​) string slicing ✂️ #9 (00:51:52​) if statements 🤔 #10 (00:58:19)​ logical operators 🔣 #11 (01:04:03​) while loops 🔄 #12 (01:07:31​) for loops ➰ #13 (01:13:04​) nested loops ➿ #14 (01:17:08) break continue pass ⛔ #15 (01:21:06​) lists 🧾 #16 (01:26:58​) 2D lists 📜 #17 (01:30:47​) tuples 📄 #18 (01:33:47​) sets 🍴 #19 (01:40:03​) dictionaries 📖 #20 (01:47:20​) indexing 📑 #21 (01:53:23​) functions 📞 #22 (02:02:03​) return statement 🔙 #23 (02:04:51) keyword arguments 🔑 #24 (02:07:09​) nested function calls 🖇️ #25 (02:09:40​) variable scope 🔬 #26 (02:13:23​) *args 📦 #27 (02:16:58​) kwargs 🎁 #28 (02:21:17​) string format 💬 #29 (02:33:22​) random numbers 🎲 #30 (02:36:43​) exception handling ⚠️ #31 (02:43:40) file detection 📁 #32 (02:47:28​) read a file 🔍 #33 (02:51:00​) write a file 📝 #34 (02:53:45​) copy a file 🖨️ #35 (02:57:05​) move a file 🗃️ #36 (03:01:20​) delete a file 🗑️ #37 (03:06:15​) modules 💌 #38 (03:10:26) rock, paper, scissors game 🗿 #39 (03:18:32​) quiz game 💯 #40 (03:35:45​) Object Oriented Programming (OOP) 🐍 #41 (03:45:06​) class variables 🚗 #42 (03:48:54​) inheritance 👪 #43 (03:55:30​) multilevel inheritance 👴 #44 (03:58:32) multiple inheritance 👨‍👩‍👧‍👦 #45 (04:01:49) method overriding 🙅 #46 (04:04:14​) method chaining ⛓️ #47 (04:08:08) super function 🦸 #48 (04:12:09​) abstract classes 👻 #49 (04:19:12) objects as arguments 🏍️ #50 (04:23:20​) duck typing 🦆 #51 (04:27:38) walrus operator 🦦 #52 (04:31:45​) functions to variables 📛 #53 (04:35:21​) higher order functions 👑 #54 (04:41:06​) lambda λ #55 (04:45:44​) sort 🗄️ #56 (04:53:22​) map 🗺️ #57 (04:57:17​) filter 🍺 #58 (05:00:10​) reduce ♻️ #59 (05:04:54​) list comprehensions 📰 #60 (05:10:54) dictionary comprehensions 🕮 #61 (05:18:59​) zip function 🤐 #62 (05:23:41​) if _name_ 'main' ❓ #63 (05:29:21​) time module ⌚ #64 (05:39:58​) threading 🧵 #65 (05:53:31​) daemon threads 😈 #66 (05:58:19​) multiprocessing ⚡ #67 (06:07:15​) GUI windows 🖼️ #68 (06:14:38​) labels 🏷️ #69 (06:24:24​) buttons 🛎️ #70 (06:30:44​) entrybox ⌨️ #71 (06:40:15​) checkbox ✔️ #72 (06:49:08​) radio buttons 🔘 #73 (07:00:47​) scale 🌡️ #74 (07:10:24​) listbox 📋 #75 (07:24:41​) messagebox 💭 #76 (07:37:17​) colorchooser 🎨 #77 (07:43:10​) text area 📒 #78 (07:48:38​) open a file (file dialog) 📁 #79 (07:55:33​) save a file (file dialog) 💾 #80 (08:05:17​) menubar 🧾 #81 (08:15:23​) frames ⚰️ #82 (08:21:30​) new windows 🗔 #83 (08:25:32​) window tabs 📑 #84 (08:30:52​) grid 🏢 #85 (08:39:52​) progress bar 📊 #86 (08:49:48​) canvas 🖍️ #87 (09:01:18​) keyboard events ⌨️ #88 (09:05:54​) mouse events 🖱️ #89 (09:11:00​) drag & drop 👈 #90 (09:18:18​) move images w/ keys 🏎️ #91 (09:29:13​) animations 🛸 #92 (09:41:31​) multiple animations 🎞️ #93 (09:53:04​) clock program 🕒 #94 (10:01:03​) send an email 📧 #95 (10:07:37​) run with command prompt 👨‍💻 #96 (10:09:53) pip 🏗️ #97 (10:13:30) py to exe 🏃 #98 (10:17:13​) calculator program 🖩 #99 (10:31:38​) text editor program ✏️ 100 (11:05:51) tic tac toe game ⭕ 101 (11;26;25)​ snake game 🐍 🎮 GAMES & PROJECTS 🎮 rock, paper, scissors game 🗿 quiz game 💯 clock program 🕒 calculator program 🖩 text editor program ✏️ tic tac toe game ⭕ snake game 🐍 Here's the link to the full playlist: 🤍 Code for each topic can be found pinned to each video's comments section music credits 🎼 : = Beat Your Competition - Vibe Tracks 🤍 = Twelve Speed - Slynk 🤍 = Up In My Jam (All Of A Sudden) by - Kubbi 🤍 Creative Commons — Attribution-ShareAlike 3.0 Unported— CC BY-SA 3.0 Free Download / Stream: 🤍 Music promoted by Audio Library 🤍 =

10 tips for learning PYTHON fast! Master Python in 2021!

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20.01.2020

Here are 10 tips that will help make 2021 the year you master python. 3 Data Science Learning Platforms I would recommend 1. Data Quest - 🤍 (my favourite) 2 Data Camp - 🤍 3 365 Data Science - 🤍 2 Recommended Python Courses 1. Exploratory Data Analysis with Python and Pandas - 🤍 2. Complete Python Programmer Bootcamp - 🤍 Data Science Interview Preparation StrataScratch 🤍 (These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them) Twitter https//:twitter.com/gilesmcmullen

Python Basic Tutorial In Nepali

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01:29:16
01.03.2019

Welcome to basic python tutorial in the Nepali Language. Python is the world's most popular and fastest-growing programming language. In this video, you will learn the different topic of Python. This video is only available in the Nepali language. Topic Covered: ▶️- Introduction of Python ▶️- Variables In Python ▶️- Integer, Float, Complex and Bool ▶️- Lists In Python with important functions ▶️- Tuple In Python ▶️- Sets In Python ▶️- Number System Conversion In Python ▶️- Swap Variable ▶️- Dictionary In Python ▶️- MATH Function ▶️- If Condition ▶️- For Loop ▶️- While Loop ▶️- Nested Loop ▶️- Array In Python ▶️- Own Function In Python ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💎Stay Connected, ● Facebook ➤: 🤍 ● Instagram ➤: 🤍 ● Email ➤ : iambrp.tech🤍gmail.com ● Website ➤ brp.com.np ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ For more update on technology subscribe to our channel and be part of our work and effort. If you have any queries then comment below. #Learn_Python_In_Nepali #Python #Python_Tutorial_In_Nepali

Learn Python In Tamil | Beginner to Advance Complete guide | Tamil Hacks

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03:37:14
19.10.2019

Hi guys welcome to Tamil Hacks 2.0 👩‍💻 Give this video a Thumbs Up 👍 Share & Subscribe for More Videos😉 Show your support to recover the channel💖 Click the bell icon to get notified for new videos 🔔 feel free to drop your doubts in the comment section 📳 Buy me a Coffee☕ 🤍 all codes and materials used in the video are available here: 🤍 connect with me here: 🤍 🐱‍🏍 🤍 🐱‍👤 🤍 📱 tamilhackstech🤍gmail.com 📧 #Tamilhacks #Tamilhacks2_0 Credits:👨‍💻 Music: 🤍 all the images and files used are open source and my own creation. all rights belong to their respective owners Disclaimer:👨‍💻 Information provided on this video is for educational purposes only. all the content is made by our team and copyright protected, do not misuse them in any way and this content means no harm in any way.

Python Basics | Python Tutorial For Beginners | Learn Python Programming from Scratch | Edureka

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01:31:31
09.10.2019

🔥Edureka Python Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): 🤍 This Edureka video on 'Python Basics' will help you understand what exactly makes Python Programming language special and covers all the basics of Python programming along with examples. Below are the topics covered in this python tutorial for beginners: 00:00 Introduction to Python 01:10 What is Python? 03:03 Features of Python 05:33 Who uses Python? 07:08 Starting off with Python Basics 15:56 Data Types 57:54 Operators 01:07:50 Flow Control 01:19:05 Functions 01:24:37 File Handling 🔵Python Tutorial - Full Course: 🤍 🔸Edureka Python Tutorial Playlist: 🤍 🔸Edureka Python Tutorial Blog Series: 🤍 🔥 Python Masters Program: 🤍 #Edureka #PythonEdureka #PythonBasics #Pythontutorialforbeginners #learnpython #pythonforbeginners #pythonprogramming #pythontutorial #PythonTraining 🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 🤍 Instagram: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Slideshare: 🤍 - How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands-on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. Who should go for python? Edureka’s Data Science certification course in Python is a good fit for the below professionals: · Programmers, Developers, Technical Leads, Architects · Developers aspiring to be a ‘Machine Learning Engineer' · Analytics Managers who are leading a team of analysts · Business Analysts who want to understand Machine Learning (ML) Techniques · Information Architects who want to gain expertise in Predictive Analytics · 'Python' professionals who want to design automatic predictive models For more information, Please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)

Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

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12:19:52
02.06.2020

This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib. 💻 Code: 🤍 This is a hands-on course and you will practice everything you learn step-by-step. This course was created by Maxwell Armi. You can check out more of his data science videos on his YouTube channel here: 🤍 🎥 Learn more about Data Science with videos from freeCodeCamp's Data Science Playlist: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction to the Course and Outline ⌨️ (0:03:53) The Basics of Programming ⌨️ (1:11:35) Why Python ⌨️ (1:33:09) How to Install Anaconda and Python ⌨️ (1:37:25) How to Launch a Jupyter Notebook ⌨️ (1:46:28) How to Code in the iPython Shell ⌨️ (1:53:33) Variables and Operators in Python ⌨️ (2:27:45) Booleans and Comparisons in Python ⌨️ (2:55:37) Other Useful Python Functions ⌨️ (3:20:04) Control Flow in Python ⌨️ (5:11:52) Functions in Python ⌨️ (6:41:47) Modules in Python ⌨️ (7:30:04) Strings in Python ⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries ⌨️ (9:36:10) The NumPy Python Data Science Library ⌨️ (11:04:12) The Pandas Python Data Science Python Library ⌨️ (12:01:31) The Matplotlib Python Data Science Library ⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

5 Effective Tips to learn Python fast!

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22.07.2020

In this Python Video, we will discuss about few tips to make your journey to learn python better. I will discuss top python tips and a few mistakes that you might make as a beginner while learning python. ⌚TimeStamps: 00:00 - Introduction 00:45 - Tip no.1 04:00 - Tip no.2 05:55 - Tip no.3 10:30 - Tip no.4 12:32 - Final Tip ►Check out my English channel here: 🤍 ►Click here to subscribe - 🤍 Best Hindi Videos For Learning Programming: ►Learn Python In One Video - 🤍 ►Python Complete Course In Hindi - 🤍 ►C Language Complete Course In Hindi - 🤍 ►JavaScript Complete Course In Hindi - 🤍 ►Learn JavaScript in One Video - 🤍 ►Learn PHP In One Video - 🤍 ►Django Complete Course In Hindi - 🤍 ►Machine Learning Using Python - 🤍 ►Creating & Hosting A Website (Tech Blog) Using Python - 🤍 ►Advanced Python Tutorials - 🤍 ►Object Oriented Programming In Python - 🤍 ►Python Data Science and Big Data Tutorials - 🤍 Follow Me On Social Media ►Website (created using Flask) - 🤍 ►Facebook - 🤍 ►Instagram - 🤍 ►Personal Facebook A/c - 🤍 Twitter - 🤍

Complete python roadmap | How to become an expert in python programming

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00:13:22
13.09.2020

Complete python roadmap: In this video I will share 8 guidelines on how one can start as a beginner and become and expert in python programming. Here are those 8 tips to master python coding, python for beginners, and complete python developer roadmap. 🔖 Hashtags 🔖 #pythonroadmap #pythonexpert #pythonmaster #pythonforbeginners #pythonlearning #pythonprogramminglanguage 00:00 Overview 00:18 Python coding skills 04:32 Data structures and algorithms 05:36 Debugging skills 06:27 Using libraries wisely 07:23 Coding best practices & PEP8 08:26 Opensource contribution 09:45 Master the art of asking for a help 11:16 Python projects, projects, projects 🤝 Support my youtube channel by buying a data science, coding 👕 T-shirt: 🤍 Python tutorial playlist: 🤍 Datastructures in python playlist: 🤍 Coding best practices: 🤍 Debugging skills: 🤍 Code organization: 🤍 how to get projects when you don't have a job: 🤍 1. Acquiring python coding skills 1.1 Beginner 1.2 Intermediate 1.3 Advanced 2. Data structures and algorithms 1.1 Using right data structure at right time. For example in this problem I've a list of customers and I want to extract list of unique countries. I can do it using a list but If I use set it will be more efficient and appropriate because set gurantees uniqueness 1.1 Datastructures in python playlist: 🤍 3. Debugging skills 1.1 All expert programmers I've worked with are very good in debugging 1.2 Sometimes people don't know what a conditional break point is a. I've a small playlist on debugging skills: 🤍 4. Using libraries wisely 1.1 Numpy - numeric computing library for matrices and multi dimensional arrays a. I've seen programmers using python list for heavy numeric computing just because they dont know about numpy 1.2 Pandas - for data cleaning and data analysis 1.3 Scipy - Scientific computing 5. Coding best practices, PEP8 convention 1.1 Refer to these guidelines for coding best practices such as. a. Compact code b. Optimize variable creation c. Avoid abbreviations as much as you can d. Code organization: 🤍 6. Opensource contribution and participate in code reviews 1.1 Chance to interact with experts. You learn a lot from code reviews 1.2 Show sample PR discussion: 🤍 1.3 Also review others code. This way you can learn from the code author as well as other reviewers 7. Master the art of asking for a help 1.1 Google skills: You need to know how to ask right question 1.2 Protocol when you are asking for a help. Stack overflow. Show that you have tried first. 8. Projects, projects, projects Python projects playlist: 🤍 1.1 Start automating repetitive tasks with python 1.2 If you have a job then use these skills for projects at job 1.2 If you don't have a job a. NGOs, relatives grocery store or a doctor b. Video on how to get projects when you don't have a job: 🤍 Website: 🤍 Facebook: 🤍 Twitter: 🤍 DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

How to Learn Python | پائتھن کیسے سیکھیں؟

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00:04:22
24.03.2021

How to Learn Python | پائتھن کیسے سیکھیں؟ 1. Python Book - 🤍 2. My Courses - 🤍 3. PluralSight - 🤍 4. DataCamp - 🤍 5. Data Science, Machine Learning Books - 🤍 6. Data Quest - 🤍 7. Kaggle - 🤍

Learn Python In Hindi In One Video - हिंदी में

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01:00:15
04.06.2018

SCROLL DOWN FOR TIMESTAMPS Source code - 🤍 In this video,I have tried to explain few basic concepts of python... Though one video is not enough to learn everything about python, this video is enough to get you started and give you some exposure to the basic idea of python programming language.for: 0:10 = Install Python and IDE (Integrated Development Environment) 3:05 = Installing Pycharm 4:45 = Modules 5:34 = Print Function In Python 6:07= Comments In Python 8:06 = Strings 8:50 = Variables In Python 9:09 = Data Types In Python 9:35 = Operators In Python 13:10 = More About Strings 15:45 = List In Python 18:40 = List Indexing and Add Items In List 22:15 = Tuples In Python 23:57 = Dictionaries In Python 26:24 = If-Else Condition 31:15 = Loops In Python 39:30 = Functions In Python 41:40 = Strings In Details 45:00 = File Handling In Python 49:30 = OOPS (Objects oriented programming subject) 59:00 = Share Karo Shaam tak 5 GF banegi Pakka 59:49 = Get your fat a up and Jump Click here to subscribe - 🤍 ►Instagram - 🤍 Personal Facebook A/c - 🤍 Twitter - 🤍

Python Full Tutorial for Beginners - Learn Python Programming in 17 Hours

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16:43:34
01.11.2021

In this python full tutorial for beginners, you will learn python programming in a short period with this python crash course. Python is one of the most used programming languages in the industry. With this python tutorial for beginners, learn python for beginners to pro. We have explained everything from what is a python to how to learn python just with this python full course. With this python programming tutorial, you will get full python training that will help you get skilled. Timestamps: Introduction of Python - 00:00:00 Installation of Python in Windows - 00:13:06 00:20:22 | Install Pycharm for Python 00:28:24 | Create the First Python ''Hello World'' Program using Print Function 00:40:49 | Create & Use Variables in Python 00:51:52 | String Concatenation in Python 00:56:20 | Arithmetic Operators in Python 01:05:35 | Assignment Operators in Python 01:10:45 | Comparison Operators in Python 01:17:41 | Logical Operators in Python 01:24:40 | Membership Operators in Python 01:30:44 | Identity Operators in Python 01:33:54 | Bitwise Operators in Python 01:46:57 | Data Types in Python 02:10:47 | User Input & Type Casting in Python 02:20:19 | If, If Else & If Elif Else Conditional Statements in Python 02:37:53 | How to Build a Simple Calculator in Python 02:48:35 | For Loop with Range () in Python 03:06:55 | While Loop in Python 03:15:42 | String Indexing & String Slicing in Python 03:28:18 | String Iteration in Python 03:39:54 | Lower, Upper, Title & Capitalize String Functions in Python 03:46:06 | Find, Index, Isalpha, Isdigit & Isalnum String Functions in Python 03:57:52 | Ord() and Chr() Functions in Python 04:04:26 | String Format () Method in Python 04:18:00 | List in Python 04:39:48 | List Iteration in Python 05:00:43 | List Function - (Pop, Remove & Clear) List Method 05:21:11 | Python List Comprehension - Elegant way to Create Lists 05:31:35 | (Pop, Remove & Clear) List Method 05:42:05 | Count, Max, Min, Sort, Reverse & Index List Function 06:03:14 | Zip Function - Iterate Over 2+ Lists at the Same Time 06:03:14 | Python Program to Convert String to a List 06:17:50 | Implement a Stack and Queue Using a List Data Type 06:44:54 | Introduction to Dictionary in Python 06:59:20 | Dictionary Function & Method in Python 07:24:16 | Python Nested Dictionary 07:35:26 | Tuple in Python 08:03:30 | Sets in Python 08:26:38 | Functions in Python 08:56:29 | Modules in Python 09:15:18 | Math Module in Python 09:28:01 | Random Module in Python 09:39:39 | Datetime Module in Python 09:49:32 | Python - Random Number Guessing Game (Using Random Modeul) 09:57:34 | Python - Rock, Paper, Scissors Game (Using Random Module) 10:31:27 | Pickle Module 10:38:51 | JSON in Python 10:51:23 | Convert JSON Data to Python Object 10:58:47 | Reading and Writing JSON File in Python 11:05:26 | Object Oriented Programming(Class & Object) 11:16:13 | Object Oriented Programming (Methods & Constructors) 11:24:04 | Inheritance in Python 11:32:28 | Encapsulation in Python (Object Oriented Programming) 11:38:09 | Getter and Setter Method in Python 11:45:54 | Polymorphism in Python 11:55:52 | Method Overloading & Method Overriding in Python 12:07:28 | Bike Rental System 12:19:44 | Python Errors and Built-in Exceptions 12:26:12 | Python Exception Handling 12:37:21 | Python - SQLite (DB Create and Connection) 12:45:37 | Python: Installing DB Browser for SQLite 12:50:59 | Insert Query - SQLite 12:58:44 | Select Query, Order By & Limit 13:06:56 | SQLite Delete Query 13:11:36 | SQLite Update Query 13:17:49 | SQLite WHERE Clause 13:26:07 | SQLite JOIN 13:40:33 | Install XAMPP on Windows - PyMySQL 13:52:41 | Python: Creating MySQL Database & Connection 14:04:05 | MySQL Data Types 14:12:03 | Python MySQL Create Table 14:23:03 | MySQL Insert Query using Python 14:31:32 | MySQL Select Query using Python 14:45:56 | MySQL Delete Query using Python 14:52:22 | MySQL Update Query using Python 15:01:40 | Python MySQL Order By & Limit 15:09:39 | Python MySQL Searching & Filter Data 15:19:48 | Python MySQL Joins Complete Introduction 15:26:52 | MySQL INNER JOIN 15:38:31 | MySQL LEFT JOIN 15:47:03 | MySQL RIGHT JOIN 15:54:50 | MySQL EQUI JOIN 16:00:05 | MySQL Self Join & Full Outer Join 16:07:36 | MySQL BETWEEN Operator 16:11:58 | Use of MIN and MAX Functions 16:16:02 | MySQL GROUP BY Statement 16:21:40 | MySQL: Distinct Keyword 16:26:41 | MySQL SUM () Function 16:29:56 | MySQL AVG() Function 16:34:46 | MySQL COUNT() Function 16:37:49 | MySQL - IN or Not IN Operators | Thanks |- #PythonCourse #Python #PythonFullCourse

Why Learn Python in 2021?

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👉🏻 Download Our Free Data Science Career Guide: 🤍 👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: 🤍 2021 is here and it’s time for new beginnings! Why not start with learning one of the most in-demand and fastest-growing programming languages? That’s right, we’re talking about Python and in this video, we will tell you why you should definitely put learning Python in your new year’s resolution list. Video Timestamps: 0:00 | Intro 0:22 | Why should you learn Python in 2021? 1:34 | Reason 1: Simple and syntax friendly 2:11 | Reason 2: Extremely rich libraries 2:50 | Reason 3: Extensive online documentation 3:29 | Reason 4: An awesome community 4:05 | Reason 5: Diverse applications 4:33 | How long does it take to learn Python? 5:42 | Thank you and subscribe for more! If you have just started programming or are looking for a career change, you’ve probably heard about Python… or perhaps someone has recommended it to you as the best programming language to learn. We will give you a number of reasons why Python is becoming increasingly popular and you should consider giving it a try. Python is simple and syntax friendly, with extremely rich libraries and online documentation. It is free to use so everyone can contribute to the writing and maintenance of its code and libraries and be part of the Python enthusiasts' vibrant community. Moreover, Python has a variety of applications – it is just about everywhere nowadays! Watch the video to learn more. ► Consider hitting the SUBSCRIBE button if you LIKE the content: 🤍 ►VISIT our website: ​🤍 🤝 Connect with us on LinkedIn: 🤍 At 365 Data Science we make #DataScience accessible to all by providing the highest quality online data science education. Our courses are designed to build up your skill set from beginner to job-ready, regardless of your current level, background education, and experience. Our data science program helps students and young professionals embark on a career as a data scientist. Demand for qualified data scientists is at an all-time high and traditional degrees are simply too expensive, time-consuming or rigid to meet the majority of needs. Our mission is to close that gap. We provide high quality, affordable training to open new opportunities for students and professionals all over the world. We are committed to hiring top talent and helping everyone in the company reach their full potential. We care about our students, colleagues and the industry and are committed to their advancement. We are committed to excellence in every lesson, every course and every interaction with our students. We constantly improve our program offering and the customer experience. We’ve Helped More than 1 million Student differentiate themselves by providing them with: 150+ Hours of video 1,980+ Lessons 35+ Courses 1.5M+ Students Ready to Start Your Career? Check out our Data Science Career guides: 🤍 #Python #DataScience #PythonProgramming

PYTHON TUTORIAL FOR BEGINNERS IN 6 HOURS (తెలుగు లో)

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How to Install Python 🤍 How to Install ANACONDA 🤍 TOPIC WISE START TIME 00:00:00 - Introduction to Python 00:25:00 - Applications of Python 00:27:00 - IDEs 00:28:00 - Introduction to Python Interpreter 00:31:47 - Indentation & Comments 00:43:35 - Keywords 00:44:58 - Variables – Identifiers 00:52:24 - Built-In types 00:57:18 - Assigning Values to Variables 01:06:21 - Input and Output Statements 01:25:25 - Operators 01:46:40 - Control Structures 02:29:49 - Math & Random Modules 02:43:28 - List 03:24:03 - Tuple 03:38:29 - Strings 04:12:17 - Set 04:30:22 - Dictionary 04:43:25 - Functions 05:21:52 - Files 05:47:44 - Libraries in Python - PYTHON - OOPS CONCEPTS | MODULES | EXCEPTION HANDLING IN PYTHON TUTORIAL IN 3 HOURS (తెలుగులో) 🤍 PYTHON NUMPY TUTORIAL IN TELUGU (తెలుగు లో) || COMPLETE NUMPY TUTORIALS IN TELUGU 🤍 For Python Interview Questions / MCQs you can refer the below link 🤍

Learn python in 5 minutes

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Learn python in 5 minutes!?!?! make sure you pay attention to the small notes and stuff :) - - Thanks (for non copyright music): - Local Forecast Creative Commons — Attribution 3.0 Unported— CC BY 3.0 🤍 Music provided by FreeMusic109 🤍 - Free Range by Mona Wonderlick 🤍 Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: 🤍 Music promoted by Audio Library 🤍 - Clocks by Smith The Mister 🤍 Smith The Mister 🤍 Free Download / Stream: 🤍 Music promoted by Audio Library 🤍 - Thanks for watching!

Learn Python the Right Way in 5 Steps in 2022

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13.05.2020

What's the best way to learn Python programming? By actually programming in Python. Here's a five-step approach that'll help minimize the boring and maximize your chances of actually making it to your end goal, whether that's learning Python for data science or game development or robotics or whatever else you'd like. This approach will work for anyone, with any Python goal. In fact, it's all about focusing on you and what YOU want to do with Python, and it's already worked for thousands and thousands of learners. Let us know what has worked well for you in the comments! Python project resources: 🤍 Sign up and try Dataquest for free: 🤍

Learn Python Programming - Python Course

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Learn Python programming with 30 quick & easy lessons. No time wasted! 👉Subscribe for more Python tutorials like this: 🤍 🔥Get the COMPLETE Python Course: 🤍 Python Exercises for Beginners: 🤍 Python Cheat Sheet: 🤍 Subscribe to my YouTube channel for more videos: 🤍 Want to learn more from me? Check out my blog and courses: Courses: 🤍 Blog: 🤍 Facebook: 🤍 Twitter: 🤍 TABLE OF CONTENT: 00:00:00 What is Python? 00:03:22 Installing Python 00:05:43 Code Editors 00:06:42 Your First Python Program 00:09:09 Python Extensions 00:12:03 Linting Python Code 00:16:19 Formatting Python Code 00:20:15 Running Python Code 00:23:16 Python Implementations 00:25:46 How Python Code is Executed 00:29:43 Variables 00:31:50 Dynamic Typing 00:34:28 Type Annotation 00:36:20 Mutable and Immutable Types 00:39:19 Strings 00:43:32 Escape Sequences 00:46:54 Formatted Strings 00:49:04 Useful String Methods 00:52:26 Numbers 00:54:37 Arithmetic Operators 00:56:26 Working with Numbers 00:59:05 Type Conversions 01:03:29 Conditional Statements 01:06:55 Logical Operators 01:10:03 Ternary Operators 01:11:22 For Loops 01:15:32 For..Else 01:18:12 While Loops 01:20:00 Functions 01:24:43 *args 01:27:12 args 01:29:18 Scope 01:32:57 Debugging 01:36:31 VSCode Coding Tricks (Windows) 01:38:55 VSCode Coding Tricks (Mac) 01:40:45 Exercise: FizzBuzz 01:42:16 Solution

How I would learn to code (if I could start over)

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25.04.2021

In this video, I give you my step by step process on how I would learn to code if I could start over again. I also provide you with some of my recommended resources, explain how to choose a project, and specific projects to do. Perhaps most importantly, I give you tips on adopting the correct mindset and mentality that will help you learn to code faster and become better faster (these were my mistakes). _ Timestamps 00:00 intro 00:56 why choose python 01:14 what to learn 01:31 recommended resources 02:21 how to use resources efficiently 03:36 timeline for learning basics 04:20 how to choose your first project 05:02 example projects! 07:59 what to learn next 08:29 data structures and algorithms project 08:39 what to learn next 09:26 correct mindset 11:39 how to learn even faster _ Links mentioned in video freeCodeCamp: 🤍 Codecademy: 🤍 *Python for everyone on coursera: 🤍 (25% promotion going on from April 28 - May 12, 2021) learn python the hard way: 🤍 python crash course: 🤍 blackjack starter tutorial: 🤍 poker starter tutorial: 🤍 tic tac toe starter tutorial: 🤍 snake starter tutorial: 🤍 maze tutorial: 🤍 _ discord: 🤍 instagram: 🤍 livestreaming google calendar: 🤍 _ Other videos you might be interested in How to self study technical things: 🤍 How to learn data science in 2021: 🤍 Subscribe: 🤍 Real SQL interview question walkthrough series: 🤍 *Check out StrataScratch for SQL interview prep: 🤍 About me Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) Contact youtube: youtube comments are by far the best way to get a response from me! linkedin: 🤍 email for business inquiries only: hellotinah🤍gmail.com If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) Links marked with * are affiliate links and I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :) #learntocode #howtolearntocode #TinaHuang

Python Tutorial in Hindi | Learn Python in Hindi | Python Full Course in Hindi | Python Tutorial

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14.03.2020

Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: 🤍 Get your free certificate of completion for the Python Programming in Hindi course, Register Now: 🤍 Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains. The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: 🤍 📚 Download the Revision Material for "Matplotlib-Python for Non-Programmers" Here: 🤍 📚 Download the Revision Material for "OOPs in Python" Here: 🤍 📚 Download the Revision Material for "Python Visualization" Here: 🤍 📚 Download the Revision Material for "Python Operators" Here: 🤍 A Python Programmer gets paid an average salary of 100,000$ and can apply for multiple roles such as Full Stack Developer, Game Developer, or even as Machine Learning Engineer. But the problem is, there are very resources that cover Python in Hindi comprehensively. So, keeping that in mind, we have come up with this high-quality full course on 'Python in Hindi'. If you would like to access the data sets, codebooks for this course visit: 🤍 Go to Popular Courses and select Python for Machine Learning and enroll in this course. The video covers the following topics: * Introduction - 00:00:00 * Installing Python, Python IDEs - 00:01:38 * Data Structures in Python - 00:44:57 * Flow Control Statements in Python - 01:19:05 * Functions in Python - 01:43:19 * Object Oriented Programming in Python - 01:58:16 * Inheritance - 02:18:15 * Numerical Computation with Numpy - 02:50:10 * Data Manipulation with Pandas - 03:18:47 * Data Visualization with Matplotlib - 03:49:42 📚 Download the Revision Material for "Matplotlib-Python for Non-Programmers" Here: 🤍 📚 Download the Revision Material for "OOPs in Python" Here: 🤍 📚 Download the Revision Material for "Python Visualization" Here: 🤍 📚 Download the Revision Material for "Python Operators" Here: 🤍 Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. 🤍 Here is a list of our other full course videos, you can check out: Data Science Tutorial: 🤍 Python for Data Science: 🤍 Machine Learning with Python: 🤍 Statistics for Data Science: 🤍 Tableau Training for Beginners: 🤍 Reinforcement Learning Tutorial: 🤍 Visit Great Learning Academy, to get access to 300+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. 🤍 #pythontutorialinhindi #pythonfullcoursehindi #pythongreatlearning #greatlearning

Python for Everybody - Full University Python Course

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02.05.2019

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. 🔗 Sample Code Zip: 🤍 🔗 Lecture Slides and Handouts: 🤍 🔗 Free Textbook: 🤍 🔗 Course Website: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Why Program? ⌨️ (0:12:21) Why Program? - Hardware Architecture ⌨️ (0:24:24) Python 3 Windows Installation ⌨️ (0:32:34) Python 3 Mac Installation ⌨️ (0:36:41) Why Program? - Python as a Language ⌨️ (0:44:17) Why Program? - What do we say? ⌨️ (0:56:55) Variables, Expressions, and Statements ⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions ⌨️ (1:26:00) Conditional Execution ⌨️ (1:39:13) Conditional Execution - More Conditional Structures ⌨️ (1:52:48) Functions ⌨️ (2:03:02) Functions - Functions of our own ⌨️ (2:15:21) Loops and Iteration ⌨️ (2:25:04) Loops and Iteration - Definite Loops ⌨️ (2:31:40) Loops and Iteration - Loop Idioms ⌨️ (2:40:07) Loops and Iteration - More Loop Patterns ⌨️ (2:58:39) Strings ⌨️ (3:09:06) Strings - More String Operations ⌨️ (3:27:33) Reading Files ⌨️ (3:35:12) Reading Files - Reading Files in Python ⌨️ (3:48:42) Python Lists ⌨️ (3:59:27) Python Lists - Loop Operations ⌨️ (4:08:52) Python Lists - Strings vs. Lists ⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern ⌨️ (4:28:44) Dictionaries ⌨️ (4:36:32) Dictionaries - Counting ⌨️ (4:45:43) Dictionaries - Counting Words in Text ⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary ⌨️ (5:22:46) Tuples ⌨️ (5:32:18) Tuples - Sorting ⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples ⌨️ (5:54:56) Regular Expressions ⌨️ (6:05:21) Regular Expressions - From Matching to Extracting ⌨️ (6:13:47) Regular Expressions - String Parsing ⌨️ (6:22:17) Networked Programs ⌨️ (6:29:45) Networked Programs - Application Protocols ⌨️ (6:38:56) Networked Programs - Write a Web Browser ⌨️ (6:43:10) Networked Programs - Code Example: socket1.py ⌨️ (6:48:58) Networked Programs - Characters and Strings ⌨️ (6:59:57) Networked Programs - urllib ⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py ⌨️ (7:08:25) Networked Programs - Parsing HTML ⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py ⌨️ (7:23:43) Using Web Services ⌨️ (7:26:35) Using Web Services - XML ⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py ⌨️ (7:37:40) Using Web Services - XML Schema ⌨️ (7:51:32) Using Web Services - JavaScipt Notation ⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py ⌨️ (8:03:08) Using Web Services - Service Oriented Approach ⌨️ (8:04:44) Using Web Services - Web Services ⌨️ (8:11:33) Using Web Services - Code Example: geojson.py ⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting ⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py ⌨️ (8:48:01) Python Objects ⌨️ (8:58:28) Python Objects - Sample Code ⌨️ (9:06:50) Python Objects - Object Lifecycle ⌨️ (9:13:19) Python Objects - Inheritance ⌨️ (9:20:44) Databases ⌨️ (9:35:55) Databases - SQLite Browser ⌨️ (9:45:40) Databases - Code Sample: emaildb.py ⌨️ (9:58:55) Databases - Code Sample: twspider.py ⌨️ (10:08:06) Databases - Database Design ⌨️ (10:16:29) Databases - Representing Relationships ⌨️ (10:20:37) Databases - Relationship Building ⌨️ (10:33:05) Databases - Join Operation ⌨️ (10:43:13) Databases - Code Sample: tracks.py ⌨️ (10:57:45) Databases - Many-to-Many Relationships ⌨️ (11:09:37) Databases - Code Sample: roster.py ⌨️ (11:20:40) Databases - Code Sample: twspider.py ⌨️ (11:20:40) Data Visualization ⌨️ (11:48:18) Data Visualization - Code Sample: Geodata ⌨️ (12:01:05) Data Visualization - Page Rank ⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering ⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation ⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization ⌨️ (12:44:17) Data Visualization - Mailing List Crawl ⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval ⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling ⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. "Python for Everybody" by Dr. Chuck Severance and the University of Michigan is licensed under CC BY. Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍 And subscribe for new videos on technology every day: 🤍

Microsoft wants you to LEARN PYTHON (for FREE) -- Intro to Python

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01.10.2019

Learn Python FOR FREEEEEE from Microsoft: 🤍 My FAVORITE Python resource: 🤍 (Codecademy) Cisco Devnet: 🤍 (GEAR I USE...STUFF I RECOMMEND) Amazon Affiliate Store: 🤍 GET THE CISCO ROUTER running LINUX (CSR 1000v): 🤍 🔥Become a 10x Engineer🔥 Join NetworkChuck: 🤍 Need help? Join the community: 🤍 ℹ Official Website: 🤍 Below you will find what are known as affiliate links. Basically, links to really great stuff I use that, if you buy, I will receive a super small kickback that helps support this channel. Thanks!! 🏆🏆🏆GET YOUR CCNA - BEST RESOURCES🏆🏆🏆 📹Videos - CBT NUGGETS: 🤍 🔬LABS - Boson NetSim: 🤍 - David Bombal Packet Tracer: 🤍 💯Practice Exams - AlphaPrep: 🤍 📚Book - 🤍 🤝🤝🤝JOIN THE Cisco Routing and Switching FACEBOOK STUDY GROUP: 🤍 🤝🤝🤝JOIN THE CCNA/CCNP Collaboration FACEBOOK STUDY GROUP: 🤍 -💡💡💡CCENT TRAINING RESOURCES💡💡💡- 📚📚📚Books: CCENT/CCNA ICND1 100-105 Official Cert Guide - 🤍 CCENT ICND1 100-105 Exam Cram (3rd Edition) - 🤍 📹📹📹 Videos: CLN On-Demand E-Learning Courses – ICND1 v3.0 - 🤍 Cisco CCENT/ICND1 + Bonus: The Complete Course (Udemy) - 🤍 CCNA 2017 200-125 Video Boot Camp With Chris Bryant - 🤍 🔬🔬🔬Labs: Cisco Learning Labs for ICND1 v3.0 60-hour 180-day labs - 🤍 CISCO CCNA, CCNP LAB 300-101, 300-115, 300-135 v2.0 Routing Switching - 🤍 CCENT Practice and Study Guide: Exercises, Activities and Scenarios to Prepare for the ICND1 100-101 Certification Exam (Lab Companion) - 🤍 —💡💡💡CCNA TRAINING RESOURCES💡💡💡— 📚📚📚Books: CCNA Routing and Switching 200-125 Official Cert Guide Library - 🤍 CCNA Routing and Switching ICND2 200-105 Official Cert Guide - 🤍 📹📹📹Videos: CLN On-Demand E-Learning Courses – ICND2 v3.0 - 🤍 CCNA 2017 200-125 Video Boot Camp With Chris Bryant - 🤍 🔬🔬🔬Labs: Cisco Learning Labs for ICND2 v3.0 70-hour 180-day labs - 🤍 Cisco Certification Practice Exam by MeasureUp: ICND2 (200-105) (90-day Key) - 🤍 CISCO CCNA, CCNP LAB 300-101, 300-115, 300-135 v2.0 Routing Switching - 🤍 —💡💡💡CCNP TRAINING RESOURCES💡💡💡— 📚📚📚Books: CCNP Routing and Switching v2.0 Official Cert Guide Library - 🤍 CCNP Routing and Switching ROUTE 300-101 Official Cert Guide - 🤍 CCNP Routing and Switching SWITCH 300-115 Official Cert Guide - 🤍 CCNP Routing and Switching TSHOOT 300-135 Official Cert Guide - 🤍 📹📹📹Videos: CCNP ROUTE 300-101 Video Boot Camp With Chris Bryant: 🤍 CCNP SWITCH 300-115 Video Boot Camp With Chris Bryant: 🤍 CCNP TSHOOT 300-135 2017 Video Boot Camp with Chris Bryant: 🤍 🔬🔬🔬Labs: CISCO CCNA, CCNP LAB 300-101, 300-115, 300-135 v2.0 Routing Switching - 🤍 AWS Study Resources: UDEMY: AWS Certified Solutions Architect - Associate - 🤍 AWS Certified Solutions Architect Associate: Practice Tests - 🤍 BOOKS: AWS Certified Solutions Architect Official Study Guide: Associate Exam: 🤍 mcsa vcp mcse ine mta tshoot 300-135 az-900 az 900 az900 Microsoft Azure Devnet Associate Cisco Devnet Associate CCNP Enterprise CCNP Security CCNP Data Center CCNP Service Provider CCNP Collaboration Cisco Certified Devnet Professional Cisco Certified Network Professional LPIC 1 LPIC 2 Linux Professional Institute LX0-103 LX0-104 XK0-004 #learnpython #python #microsoft

1. Python Tutorial Bangla - Installation and Introduction

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00:08:08
03.09.2017

Learn #Python_in_Bangla. This is a tutorials series in Bangla for #Pytho_ programming_beginners. Easiest and quickest way to learn python in bengali. Teach yourself python বাংলা #পাইথন_টিউটোরিয়াল সিরিজ। এই সিরিজে আপনারা যারা প্রোগ্রামিং এ নতুন বা সবে শুরু করছেন তারা খুব সহজেই পাইথন শিখতে পারবেন। ডাটা সাইন্টিষ্ট বা #আর্টিফিশিয়াল_ইন্টেলিজেন্স ক্ষেত্রে পাইথন একটি অতন্ত গুরুত্বপূর্ণ ল্যাঙ্গুয়েজ! Programming এ ছোট খাট হেল্প বা কোথাও আটকালে আপনাদের সলুশান দেওয়ার চেষ্টা করি ফেসবুক গ্রুপঃ 🤍 Discord ও Telegram গ্রুপে, - StartBit Help Desk: Telegram Group : 🤍 Discord : 🤍

Learn Python With Me In 2 days | Code With Me

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07.09.2021

Hi friends! I am really excited to share this video with you where we learn Python together. I saw 🤍Bukola video on learning Javascript and was inspired to create one learning Python! I hope you enjoy it. Business inquiries: info🤍thisistiffin.com Instagram: 🤍 Tiktok: 🤍 SIGNUP FOR MY NEW MONTHLY NEWSLETTER at 🤍tiffintech.co ✅ Exclusive discounts ✅ Tips from people in the STEM world ✅ Stay up to date with the latest tech events and news ✅ And so much more! #LearnPythonWithMeIn2days #TiffInTech

How to Learn Python? (From Zero to Hero)

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00:22:15
30.07.2020

In this video, I discuss the learning path for the Python programming language and I divide it into 6 levels. Each level covers a subset of the language that you need to master before you move on to the next one. 00:00:00 Introduction 00:00:41 Level 0: The Absolute Beginner 00:03:35 Level 1: Object-Oriented Programming in Python 00:07:41 Level 2: Socket Programming in Python 00:14:16 Level 3: Concurrent Programming in Python 00:18:22 Level 4: Data structures and Algorithms 00:20:33 Level 5: Advanced Python My Python OOP Course on Udemy (level 1): 🤍 Here is an in-depth article about these topics: 🤍 Computer Networking Recommended Book: 🤍 Advanced Python Recommended Book: 🤍 Google "afternerd learn Python" to check my massive guide for learning Python. Resources: 📝 Python Cheatsheet: 🤍 🖥️ Computer Science guide: 🤍 🐍 Python roadmap guide: 🤍 Courses: 📚 Python OOP: 🤍 Where you can find me: ℹ️ Website: 🤍 📸 Instagram: 🤍 🐦 Twitter: 🤍

Intermediate Python Programming Course

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27.08.2020

Take your Python skills to the next level with this intermediate Python course. First, you will get a review of basic concepts such as lists, strings, and dictionaries, but with an emphasis on some lesser known capabilities. Then, you will learn more advanced topics such as threading, multiprocessing, context managers, generators, and more. 💻 Code: 🤍 🎥 Course from Patrick Loeber. Check out his channel: 🤍 🔗 Written Tutorials from Patrick: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:00:56) Lists ⌨️ (0:16:30) Tuples ⌨️ (0:29:49) Dictionaries ⌨️ (0:42:40) Sets ⌨️ (0:58:44) Strings ⌨️ (1:22:50) Collections ⌨️ (1:36:43) Itertools ⌨️ (1:51:50) Lambda Functions ⌨️ (2:04:03) Exceptions and Errors ⌨️ (2:20:10) Logging ⌨️ (2:42:20) JSON ⌨️ (2:59:42) Random Numbers ⌨️ (3:14:23) Decorators ⌨️ (3:35:32) Generators ⌨️ (3:53:29) Threading vs Multiprocessing ⌨️ (4:07:59) Multithreading ⌨️ (4:31:05) Multiprocessing ⌨️ (4:53:26) Function Arguments ⌨️ (5:17:28) The Asterisk (*) Operator ⌨️ (5:30:19) Shallow vs Deep Copying ⌨️ (5:40:07) Context Managers Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍 And subscribe for new videos on technology every day: 🤍

12 Beginner Python Projects - Coding Course

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09.12.2020

Improve your Python skills by following along with 12 different Python project tutorials. 🎥 Course developed by Kylie Ying. Check out her YouTube channel: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (1:40) 1. Madlibs ⌨️ (6:54) 2. Guess the Number (computer) ⌨️ (13:17) 3. Guess the Number (user) ⌨️ (21:14) 4. Rock Paper Scissors ⌨️ (24:25) 5. Hangman ⌨️ (35:53) 6. Tic-Tac-Toe ⌨️ (59:59) 7. Tic-Tac-Toe AI ⌨️ (1:15:53) 8. Binary Search ⌨️ (1:27:16) 9. Minesweeper ⌨️ (1:51:55) 10. Sudoku Solver ⌨️ (2:05:34) 11. Photo Manipulation in Python ⌨️ (2:31:49) 12. Markov Chain Text Composer ⭐️ Code ⭐️ 💻 Madlibs / Rock Paper Scissors / Binary Search: 🤍 💻 Guess the Number: 🤍 💻 Hangman: 🤍 💻 Tic-Tac-Toe + AI: 🤍 💻 Minesweeper: 🤍 💻 Sudoku: 🤍 💻 Photo Editing in Python: 🤍 💻 Markov Chain Composer: 🤍 ⭐️ More ways to connect with Kylie Ying ⭐️ Twitch KylieYing: 🤍 Twitter 🤍kylieyying: 🤍 Instagram 🤍kylieyying: 🤍 Website: 🤍 ⭐️ Music Credits ⭐️ Alan Walker - Fade [NCS Release]: 🤍 Alan Walker - Force [NCS Release]: 🤍 Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍 And subscribe for new videos on technology every day: 🤍

LEARN PYTHON IN 10 MINUTES - 2020

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07.03.2020

Learn the fundamental features of Python - The coding language designed to create apps, games and much more. I teach you how to get started with Python, how to implement loops, classes, functions and much more. Have fun :) OTHER VIDEOS YOU MIGHT LIKE: / - / LEARN HTML IN 10 MINUTES - 2020 🤍 LEARN CSS IN 10 MINUTES - 2020 🤍 COMPLETE WORDPRESS TUTORIAL FOR BEGINNERS 🤍 BUILD AN QUOTE GENERATOR APP IN 20 MINUTES USING CSS, HTML & JAVASCRIPT 🤍 CONTACT: / - / ⚡︎ Any Business Inquires please email: azardigitalmedia🤍gmail.com MY GEAR: / - / ⚡︎ MacBook Pro i7 15" 16GB 528GB 🤍 ⚡︎ Recording Mic Blue Snowball 🤍 ⚡︎ Logitech MS master 3 🤍 FOLLOW: / - / ⚡︎ Instagram: 🤍 ⚡︎ Twitter: 🤍 ⚡︎ Facebook: 🤍 DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you! Thank you for supporting Azum Media so I can continue to provide you with free content each week! Python Tutorial 2020

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