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Learn Python - Full Course for Beginners [Tutorial]

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Learn Python - Full Course for Beginners [Tutorial]

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!

⭐️ 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:

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Python Tutorial - Python for Beginners [Full Course]

Python tutorial - Python for beginners
???? Learn Python programming for a career in machine learning, data science & web development.
???? Want to master Python? Get my Python mastery course:
???? Subscribe for more Python tutorials like this:

???? Watch the 2020 edition:

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

???? Python Programming Certification Course:
This Edureka Python Tutorial for Beginners will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial video helps you to learn the following concepts:

00:00 Introduction
1:55 What is Python?
3:40 Why is Python popular?
4:55 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

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Python Tutorial for Beginners - Full Course in 11 Hours [2020]

Join the 3-part epic masterclass that shows you how to become a 6-figure developer...

If you want to enroll in an EPIC Python course where you can have exercises and projects all under one account & for FREE... Click this link:

The tool I'm using to write my Python code online...

???? TABLE OF CONTENTS... ENJOY ????

1. Variables (2:47)
2. Functions (8:50)
3. Calendar (14:10)
4. If Else Statements (37:17)
5.While Loops (43:17)
6. For Loops (49:07)
7. Data Types (53:05)
8. Casting (56:37)
9. Strings (59:57)
10.Lists (1:03:23)
11.Slicing (1:17:07)
12. Split and Join (1:39:42)
13. Tuples (1:47:57)
14. Sets (1:58:55)
15. Dictionaries (2:16:50)
16. Mutability (2:50:24)
17.List Comprehension (3:02:43)
18. Regex (3:14:00)
19. Datetime Module (3:34:06)
20.Web Scraping (4:03:03)
21. Zip Functions (4:32:00)
22. Project: Tic Tac Toe (4:53:54)
23. Project: Twilio SMS App (5:59:00)
24. Project: To-Do List App (6:20:51)
25. Project: Craigslist Clone (7:13:54)
26. Python Freelancer Guide (10:11:10)

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Python Tutorial - Python for Beginners [2020]

Python Tutorial - Python for Beginners (2020 EDITION) - Learn Python quickly & easily (in 1 hour)!
???? Subscribe for more Python tutorials like this:
???? Want to learn more? Watch my complete Python course:

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Want to learn more from me?

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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

The Complete Python Course For Beginners

This python course is designed to take you from beginner to pro in the python language. This python course is designed to teach you everything you need to know about python. It assumes no prior knowledge and is a perfect python tutorial for beginners. This course is split into 4 main sections: Beginner Python Programming, Object Oriented Programming, Intermediate Python Programming and Expert Python Features.

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Note: There may be some missing links and resources. Leave a comment if so and I'll try my best to add them!

⭐️ Time Stamps ⭐️

???? Beginner Python Programming ????
(00:00:00) Introduction
(00:01:12) Variables & Data Types
(00:12:21) Basic Operators & Input
(00:24:11) Conditions
(00:32:54) if-elif-else
(00:45:56) Chained Conditionals & Nested Statements
(00:53:29) For Loops
(00:59:29) While Loops
(01:05:51) List's and Tuples
(01:14:09) Iteration by Item
(01:20:13) String Methods
(01:26:38) Slice Operator
(01:33:41) Functions
(01:42:10) How to Read a Text File
(01:50:31) Writing to a Text File
(01:54:50) Using .count() and .find()
(02:01:47) Introduction to Modular Programming
(02:09:28) Optional Parameters
(02:15:36) Try and Except (Error Handling)
(02:20:29) Global vs Local Variables

???? Object Oriented Programming ????
(02:29:16) Introduction to Objects
(02:39:02) Creating Classes
(02:50:37) Inheritance
(03:03:13) Overloading Methods
(03:16:01) Static Methods and Class Methods
(03:25:44) Private and Public Classes

???? Intermediate Python ????
(03:31:40) Optional Parameters
(03:41:13) Static and Class Methods
(03:50:24) Map Function
(03:56:15) Filter Function
(04:03:12) Lambda Function
(04:10:12) Introduction to Collections
(04:22:17) Named Tuple
(04:30:20) Deque

???? Advanced Python ????
(04:40:12) Overview of Python
(04:58:34) Dunder/Magic Methods
(05:12:23) Metaclasses
(05:34:10) Decorators
(05:50:29) Generators
(06:04:32) Context Managers

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#python

Python Tutorial | Python for Absolute Beginners [2021]

Hey Amigos,

Welcome to this full course where you will learn python for beginners. In this python for beginners course I will learn you python and give you a clear understanding of the core concepts about python. Python is super easy and powerful.

Feel free to enrol to this course on my website so you can follow each video at a time.

Lets get started...

► Enrol here

Table Of Contents

00:00 - Intro
00:57 - Quick Word
01:59 - Installing Python
04:40 - Pycharm
05:43 - Installing Pycharm
08:41 - Your first Python program
12:21 - Variables
14:55 - Creating Variables
20:03 - Naming Variables
22:34 - Data Types
26:06 - Dynamically Type Language
31:30 - Comments
34:05 - Strings
39:34 - Multiline and Formatting Strings
44:28 - Indentation
51:28 - Arithmetic Operators
55:53 - Comparison Operators
58:54 - Logical Operators
01:04:26 - Assignment Operators
01:08:13 - If Statements
01:14:06 - Quick Word About If Statements
01:16:33 - Ternary If Statements
01:19:26 - Lists
01:24:58 - Useful List Methods
01:28:33 Deleting Items from Lists
01:33:06 - Sets
01:37:32 - Set Union Intersection & Difference
01:43:53 - Dictionaries
01:50:16 - For Loops
01:53:26 - Loop Through Dictionaries
01:57:18 - Exercise
01:58:07 - Exercise Solution
02:00:04 - While Loop
02:03:18 - Break and Continue
02:08:31 - Functions
02:11:03 - Parameters and Arguments
02:15:12 - Return Values From Functions
02:21:16 - Built in Functions and Import Statement
02:25:45 - Creating Modules
02:31:17 - Classes and Objects
02:35:03 - Creating Classes and Objects
02:43:18 - Printing Objects
02:47:40 - Working With Dates
02:51:43 - Formatting Dates
02:56:15 - Creating Files
03:01:48 - Reading From Files
03:04:30 - A Better Way To Work With Files
03:08:58 - Fetching Data From Internet
03:11:48 - Fetching Jokes From Internet
03:21:47 - Pip & Modules
03:25:17 - Request Module
03:28:23 - Text To Speech
03:33:40 - Lets Wrap Up


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❤️ Thanks for watching

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

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:
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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

Full Python Programming Course | Python Tutorial for Beginners | Learn Python

Python is one of top 5 programming languages today. If you want to pursue a career, this language is a must for you.This course has been created for beginners.

✔ Contents ✔
???? (0:01:00) 0 - Course Introduction
???? (0:02:29) 1 - Introduction to Python (For Absolute Beginners)
???? (0:10:41) 2 - How to Install Python 3 on Windows 10
???? (0:16:19) 3 - Basic Math, Mathematical Operators and Python Expressions
???? (0:28:40) 4 - Python Variables and Types
???? (0:40:37) 5 - Python print() and input() Function
???? (0:53:05) 6 - Python Built-in Functions and Built-in Module
???? (1:00:10) 7 - Creating and Executing your First Python Script (Run .py file)
???? (1:12:36) 8 - Install PyCharm ( Python IDE ) on Windows 10 + First Project
???? (1:20:36) 9 - Python Strings and Comments
???? (1:35:14) 10 - Boolean, Comparison Operators and Logical Operators in Python
???? (1:46:08) 11 - Python IF ELSE Statements
???? (1:54:53) 12 - Python IF...ELIF...ELSE Statements + nested IF statements
???? (2:03:41) 13 - Python Lists
???? (2:13:37) 14 - Python Tuples
???? (2:20:22) 15 - Python Sets
???? (2:33:54) 16 - Python Dictionary
???? (2:42:59) 17 - Python Slice and Negative index
???? (2:53:44) 18 - Python while Loop
???? (3:03:50) 19 - Python for Loop
???? (3:11:43) 20 - Python break, continue statement
???? (3:18:28) 21 - Python Functions
???? (3:30:47) 22 - Default Arguments, *args and **kwargs (Variable-length Arguments)
???? (3:38:27) 23 - Introduction to Object-Oriented Programming (OOP)
???? (3:48:24) 24 - Classes and Objects in Python (OOP)
???? (3:58:23) 25 - Python __init__ and self in class
???? (4:10:18) 26 - Is it possible to define multiple constructors in Python?
???? (4:18:14) 27 - Python Encapsulation
???? (4:29:39) 28 - Private methods in Python
???? (4:35:48) 29 - Python Inheritance
???? (4:50:47) 30 - How To Create Modules in Python 3
???? (5:03:10) 31 - Python Multiple Inheritance
???? (5:08:38) 32 - Python super()
???? (5:16:15) 33 - Python Composition
???? (5:21:51) 34 - Python Aggregation + Difference in Aggregation and Composition
???? (5:28:54) 35 - Python Abstract Classes
???? (5:37:16) 36 - Python Exception handling + Python Try Except
???? (5:52:06) 37 - Try Except Else Finally (Python Exception handling)
???? (5:57:47) 38 - Raising Exceptions In Python
???? (6:03:50) 39 - Raising Custom Exceptions (Writing and Using Custom Exceptions)
???? (6:08:30) 40 - Idea behind : if __name__ == __main__
???? (6:15:38) 41 - Create a Text File and Write in It Using Python
???? (6:28:50) 42 - Reading Files in Python
???? (6:40:13) 43 - Working With JSON Data in Python
???? (6:52:00) 44 - Python Iterators
???? (7:06:19) 45 - Python Generators
???? (7:22:13) 46 - Command Line Arguments in Python with argparse
???? (7:40:24) 47 - Lambda, filter, reduce and map
???? (7:58:54) 48 - Python Closures + nested functions
???? (8:12:37) 49 - Python Decorators
???? (8:32:25) 50 - Python Operator Overloading
???? (8:49:06) 51 - An Introduction to Python Debugger (pdb)
???? (9:10:00) 52 - How to use PyCharm to debug Python code
???? (9:18:16) 53 - How to use Pip and PyPI for managing Python packages
???? (9:25:55) 54 - How to Install Pip packages using PyCharm
???? (9:30:51) 55 - Global, Local and Nonlocal variables in Python

#Python, #MachineLearning, #WebDevelopment
Feel the real power of Python and programming! This is a Python tutorial for beginners to learn Python programming from scratch. The course offers you a unique approach of learning how to code by solving real world problems. Throughout the course we will be understanding how to identify and formulate the problems, what is the key to a great app, we will learn how to efficiently adopt the problem for the computer and the most important that you will be writing a lot of code! The course is structured in a way that lectures are like labs where we study the material, do the quizzes, write programs and test them! The most important that you will be involved into work a lot in order to get the best experience! Learn Python at easy to understand steps.

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

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
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Learn Python - Full Fundamental Course for Beginners | Python Tutorial for Beginners [2019]

This course will provides you a full introduction into all of the core concepts in python like data types, reserved words etc. Follow along with the videos and you will become a python programmer in less time and you will entered into Python world.
View this Python tutorial for beginners to learn Python programming from zero. Every topic explained in detail to make this best Python tutorial for beginners.

### Contents: ####
============================
1. (00:00:00) What is Python and Father of Python
2. (00:19:30) Easiness of Python when compared with Other Languages
3. (00:45:35) Why the name 'Python'
4. (00:53:29) Python as All Rounder
5. (01:04:28) Where we can use Python
6. (01:11:26) Features of Python: Part-1
7. (01:25:30) Features of Python: Part-2
8. (01:44:47) Features of Python: Part-3
9. (01:58:48) Features of Python: Part-4
10.(02:11:58) Features of Python Summary
11.(02:19:08) Limitations and Flavors of Python
12.(02:37:13) Python Versions
13.(02:51:05) Python Identifiers
14.(03:13:26) Python Reserved Words
15.(03:26:56) Data Types Introduction
16.(03:42:00) Data Types: int data type
17.(04:04:16) Data Types: Base Conversion Functions
18.(04:12:59) Data Types: float data type
19.(04:25:22) Data Types: complex data type
20.(04:38:47) Data Types: bool data type
21.(04:46:55) str data type representations by using single,double and triple quotes
22.(05:07:02) Data Types: str data type - positive and negative index
23.(05:14:16) Data Types: str data type - Slice Operator
24.(05:30:45) Data Types: str data type - Slice Operator Applications
25.(05:43:26) Data Types: + and * operators for str data type
26.(05:56:29) Type Casting: introduction and int() function
27.(06:10:00) Type Casting: float() and complex() functions
28.(06:32:34) Type Casting: bool() and str() functions
29.(06:44:57) Type Casting: Summary
30.(06:53:39) Fundamental Data Types vs Immutability : Meaning Of Immutability
31.(07:08:21) Fundamental Data Types vs Immutability : Need Of Immutability
32.(07:29:06) Immutability vs Mutability
33.(07:49:26) Python Data Types: List data type
34.(08:14:00) Python Data Types: Tuple data type
35.(08:35:53) Python Data Types: Set data type
36.(08:56:58) Python Data Types: FrozenSet
37.(09:07:39) Python Data Types: Dict
38.(09:24:18) Python Data Types: range
39.(09:48:35) Python Data Types: bytes and bytearray
40.(10:05:25) Python Data Types Summary
41.(10:25:13)None Data Type
42.(10:37:46)Escape Characters,Comments and Constants

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Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

???? Edureka Python Training:
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial for beginners video helps you to learn the following concepts in Python:
00:00 Agenda for the session
1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

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Complete Python Course - Beginner to Advanced || Python Programming Full Course

In this Complete Python course, you will learn everything you need to know about Python programming. You will start from very basics towards to the advance. This complete Python programming course will give you clear explanation of each Python programming. Along the way you will be learning about a lot of Python concepts, some of the are below.
Table of Contents
Python - Why Programming (00:05)
Python - Hardware Overview (12:26)
Python as a language (19:25)
Python - writing paragraph of code (34:00)
Python - An animated programming story (42:00)
Python expression (52:50)
Python Types (01:11:00)
Python conditional statement (01:33:00)
Python - example of conditional statement (01:47:00)
Python - Exception handler (02:00:00)
Python - Function (02:12:00)
Python - Loop and iteration (02:40:00)
Python - Loop idioms (03:01:00)
Python - Strings (03:14:00)
Python - Files (03:42:00)
Python lists (04:05:00)
Python dictionary (04:33:00)
Python Tuples (05:10:00)
Python - Regular Expression (05:36:00)
Python - Networked program (05:54:00)
Python - From sockets to Application (06:05:00)
Python - Let's write a web browser (06:22:00)
Python - Understanding HTML (06:32:00)
Python - parsing HTML with beautifulsoup (06:40:00)
Python - Web Services Overview (06:50:00)
Python - XML (07:05:00)
Python - Parsing XML in PYthon (07:30:00)
Python - Accessing API (08:06:00)
Python - Object oriented Programming (08:42:00)
*******************************
- Python variables, Expression and Statements
- Python conditional Execution
- Python Function
- Python loop and iteration
- Python string
- Python files
- Python lists
- Python dictionaries
- Python Tuples
- Python regular expression
- Python network programming
- Python web services
- Python database

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Python Tutorial | Python Course | Intellipaat

????Intellipaat Python course:
This python tutorial is an end to end Python course video where you will learn python from scratch to all the advanced topics. We have covered few projects as well so that you get practical knowledge on Python as well. There is an interview questions session also added in this python tutorial for beginners so that when you prepare for the interview you can watch and get ready to clear the interview and grab top jobs.
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????Following topics are covered in this video:
00:00 - Python tutorial
01:07 - What is Python course?
02:31 - Is Python a New Language?
03:20 - Python Facts!
04:43 - Why should you learn Python?
07:25 - Installing Python on Windows
12:13 - Python variables
23:00 - Python Tokens
01:02:04 - Data types in Python
01:27:40 - Hands-on: Data Types
01:42:05 - Hands-on: Comprehensions
01:46:55 - Conditional Statement
01:54:56 - Looping Statements
02:00:10 - Hands-on: Loops
02:08:38 - Functions in Python
02:15:08 - Hands-on: Function
02:23:34 - Python Arrays
02:25:56 - Python: Classes and Objects
02:27:13 - File Handling in Python
02:30:00 - Hands-on: File Handling
02:34:47 - Data Science with Python
02:35:37 - Introduction to OOPs
02:37:01 - Real-world OOP example
02:44:45 - Hands-on: Classes and Objects
02:52:24 - Inheritance in Python
02:59:16 - Hands-on: Inheritance
03:15:35 - Encapsulation in Python
03:18:33 - Hands-on: Encapsulation
03:24:28 - Polymorphism in Python
03:25:41 - Hands-on: Polymorphism
03:29:24 - Python Modules
03:30:09 - Hands-on: Modules
03:32:00 - Standard Library
03:32:45 - Hands-on: Standard Library
03:34:50 - Hands-on: Installing Packages
03:37:51 - Exception Handling
03:41:30 - Hands-on: Exception Handling
03:47:12 - Python Web-Scraping
04:01:50 - What is Web-Scraping?
05:34:59 - Logistic Regression
06:01:21 - Confusion Matrix
06:05:20 - Hands-on: Confusion Matrix
06:08:10 - Hands-on: Logistic Regression
06:14:50 - Python Project
07:13:45 - Python Job Trend
07:14:15 - Python Interview Questions
08:02:22 - Machine Learning with Python
08:14:11 - Sentiment Analysis with Twitter
08:24:10 - OS Module in Python
08:31:26 - File Handling in Python
08:48:15 - Python Covid 19 Project
08:51:04 - What is Random Forest?
08:52:50 - Why we use Random Forest?
08:56:10 - How does Random Forest work?
09:01:29 - Hands-on: Covid 19 Global Prediction
09:23:25 - Credit Card Fraud Detection Project using Python

???? Read complete Python tutorial here:

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Why Python programming is important?

Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux and Mac; this makes it highly coveted for the Data Analytics domain. Python’s design and libraries provide 10 times productivity compared to C, C++ or Java. A Senior Python Developer in the United States can earn $102,000 – Indeed

Why should you opt for a Python career?

If you want to fast-track your career then you should strongly consider Python. The reason for this is that it is one of the fastest growing and widely used programming languages. There is a huge demand for Python programmers. The salaries for Python programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat Python programming session is your stepping stone to a successful career!
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Python Tutorials for Beginners - Learn Python Online

Watch my BRAND NEW Python tutorial with projects:

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These days everybody is learning Python 3 because it’s the most popular programming language. If you’re looking for a Python course that teaches you the fundamentals of Python, you’ve come to the right place.

This video shows you Python applications as well as python salaries. If you’re looking for a programming job to make more money, Python is the best programming language to learn first.


TABLE OF CONTENT

00:00:00 What is Python?
00:03:22 Installing Python
00:05:15 Python Interpreter
00:07:12 Code Editors
00:08:32 Your First Python Program
00:12:11 Python Extensions
00:15:04 Linting Python Code
00:19:20 Formatting Python Code
00:23:16 Running Python Code
00:26:17 Quiz
00:28:41 Variables
00:31:48 Variable Names
00:34:52 Strings
00:40:24 Escape Sequences
00:43:06 Formatted Strings
00:45:16 String Methods
00:51:13 Numbers
00:54:01 Working with Numbers
00:56:12 Type Conversion
01:01:18 Quiz
01:04:03 Comparison Operators
01:06:09 Conditional Statements
01:10:20 Ternary Operator
01:12:31 Logical Operators
01:16:35 Short-circuit Evaluation
01:18:44 Chaining Comparison Operators
01:20:08 Quiz
01:21:53 For Loops
01:25:32 For..Else
01:28:21 Nested Loops
01:31:07 Iterables
01:34:17 While Loops
01:39:18 Infinite Loops
01:40:57 Exercise
01:43:04 Defining Functions
01:45:30 Arguments
01:47:53 Types of Functions
01:51:57 Keyword Arguments
01:53:59 Default Arguments
01:55:36 *args
01:59:53 **args
02:02:15 Scope
02:07:26 Debugging
02:14:18 VSCode Coding Tricks (Windows)
02:16:41 VSCode Coding Tricks (Mac)
02:18:32 Exercise
02:20:03 Solution
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Python Tutorial in Hindi | Learn Python in Hindi | Python Full Course in Hindi | Python Tutorial

???? Get your free certificate of completion for the Python Programming in Hindi Course, Register Now: ????

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 which 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, code books for this course visit:

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The video covers the following topics:
* Introduction - 0:00
* Installing Python, Python IDEs - 1:38
* Data Structures in Python - 44:57
* Flow Control Statements in Python - 1:19:05
* Functions in Python - 1:43:19
* Object Oriented Programming in Python - 1:58:16
* Inheritance - 2:18:15
* Numerical Computation with Numpy - 2:50:10
* Data Manipulation with Pandas - 3:18:47
* Data Visualization with Matplotlib - 3:49:42

Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them.

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Machine Learning with Python:
Statistics for Data Science:
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Python for Everybody - Full University Python Course

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:
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⭐️ 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.

--

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TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial

Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.

Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning.

Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems.


⭐️ Google Colaboratory Notebooks ⭐️

???? Module 2: Introduction to TensorFlow -
???? Module 3: Core Learning Algorithms -
???? Module 4: Neural Networks with TensorFlow -
???? Module 5: Deep Computer Vision -
???? Module 6: Natural Language Processing with RNNs -
???? Module 7: Reinforcement Learning -


⭐️ Course Contents ⭐️

⌨️ Module 1: Machine Learning Fundamentals (00:03:25)
⌨️ Module 2: Introduction to TensorFlow (00:30:08)
⌨️ Module 3: Core Learning Algorithms (01:00:00)
⌨️ Module 4: Neural Networks with TensorFlow (02:45:39)
⌨️ Module 5: Deep Computer Vision - Convolutional Neural Networks (03:43:10)
⌨️ Module 6: Natural Language Processing with RNNs (04:40:44)
⌨️ Module 7: Reinforcement Learning with Q-Learning (06:08:00)
⌨️ Module 8: Conclusion and Next Steps (06:48:24)


⭐️ About the Author ⭐️

The author of this course is Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. Tim has a passion for teaching and loves to teach about the world of machine learning and artificial intelligence. Learn more about Tim from the links below:
???? YouTube:
???? LinkedIn:

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Learn Python by Building Five Games - Full Course

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:

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LEARN PYTHON in 2 HOURS + PDF | Beginners Friendly Tutorial (2020)

In this video we are going to learn every thing you need to know to get started with python. In this course we will discuss more than 20 different topics that will cover the core principals of python. The course is developed around simple examples making it beginner friendly.

Code + PDF:


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Full OpenCV 3 Hour Course:
################################################

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Video Links:
Classify Traffic Signs:
Classit Digits:
How To Install OPENCV in Python:

5 Must Know OpencCV Functions:

Easy Object Following Robot using Arduino and PixyCam:

Robot Arm Arduino Tutorial | Gesture Controlled:



Time Stamps:
0. Start 00:00
1. Introduction: 01:02
2. Installations: 02:25
3. Basic Functions: 04:55
4. Indentation: 08:40
5. Comments: 09:44
6. Numbers and Arithmetics: 11:25
7. Strings: 13:49
8. Data Types: 15:33
9. Naming Convention: 17:38
10. Lists: 23:24
11. Mutability: 31:22
12. Slice that Cake (Slicing): 33:28
13. User Input: 35:22
14. Tuples: 38:49
15. Sets: 41:01
16. Dictionaries: 44:18
17. Operators: 52:36
18. IF Statements: 57:13
19. For Loop: 01:03:25
20. While Loops: 01:08:53
21. Skipping Iteration: 01:11:27
22. Breaking Loops: 01:14:09
23. Functions: 1:15:50
24. Local and Global Variables: 01:21:00
25. Catch that Error (Try/Except): 01:22:38
26. Packages and Modules: 01:26:00
27. External Packages/Libraries: 01:31:59
28. Classes and Objects: 01:34:35
29. Read and Write Files: 01:41:42



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