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Learn Python - Full Course for Beginners

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Learn Python - Full Course for Beginners

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


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Python Tutorial for Beginners | Full Python Programming Course [2019]

Watch this Python tutorial for beginners to learn Python programming from scratch. Includes exercises and projects.
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🔥Get My Complete Python Programming Course with a 90% Discount (LIMITED to the first 200 students):


#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


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

Edureka Python Training (Flat 20% Off, Use code: YOUTUBE20) :
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: will help you learn Python programming language and its core concepts with examples from scratch. Please drop a comment if you need the data-sets and codes discussed in this video. This Python tutorial video helps you to learn the following concepts in Python:

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
2:54:28 Standard Libraries
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)
5:32:42 - Extracting Insights from the Dataset
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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Zero to Hero with Python Programming - 2017 Full Python tutorial from beginners to advanced learners

Are you brand new to coding? Want to see how fun and easy it can be? Watch engaging experts Susan Ibach and Christopher Harrison for an entertaining introduction to programming with Python. Susan and Christopher offer a step-by-step walk-through, from a basic idea to translating that idea into code, and everything in between.

Don't worry about making mistakes! Python uses simple syntax, has an easy learning curve, and is a very forgiving language. Gain a new skill or complete a task by the end of each module, and, by the end of the course, you will be programming in Python! You also learn basic principles which can make it easier for you to learn other programming languages in the future. Don't miss this opportunity to go beyond the if statement!


Instructor | Susan Ibach - Microsoft Canada Technical Evangelist; Christopher Harrison -Microsoft Content Development Manager

Getting Started
Explore applications of Python language, and create a Hello world application for Python in Visual Studio, as you learn the benefits of knowing Python. Get help setting up your computer, so you can start coding.

Displaying Text
Get an introduction to the print statement, comments, and basic formatting, so you can display and format text to a user.

String Variables
Learn about the input statement, string variables, and manipulate strings, so you can prompt a user for input, store values in a string, and use string functions to manipulate string values.

Storing Numbers
Hear an introduction to numeric datatypes and variables, how to do math operations, and datatype conversions. Learn to store numeric values and perform math operations.

Working with Dates and Times
Get the details on date variable storage and issues, along with date functions and formatting, so you can store and manipulate date values.

Making Decisions with Code
Hear an introduction to basic if/else statements and Boolean variables, so you can write code that reacts differently to different user inputs.

Complex Decisions with Code
Explore and/or statements, nested if statements, and elif, so you can write code that reacts differently to more complex user inputs.

Repeating Events
Take a look at for loops and nested for loops, so you can write programming in Python that repeats a fixed number of times.

Repeating Events Until Done
Play with while loops, and learn when to use for versus while loops, so you can write code that repeats as often as needed.

Remembering Lists
Get the details on arrays and lists, so you can store multiple values.

How to Save Information in Files
Hear about functions for creating and writing to files, so you can write code that saves information in a file and remember it later.

Reading from Files
Explore functions for reading from files, so you can read information that was saved in a file.

Functions
Learn about the syntax for declaring functions and how to call functions from your code, so you can use functions to avoid retyping the same code over and over.

Handling Errors
Get the details on syntax for error handling, so you can write code that can handle common error situations without crashing.
#Python #python-programming #tutorials #programming #pythongteacher
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Complete Python Course - Beginner to Advance

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 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.

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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
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Python Tutorial for Beginners - Crash Course 2019 | Build a Game with Python

Learn Python from scratch by building a game in this beginner's course - no prior knowledge is required in this Python tutorial!
Related article:
Finished Game Code (Resources):
Check out all our other courses:

----------

Install Python 3:
Download Visual Studio Code:
Get Started with Python in VS Code:
----------
Project Structure: 00:51
Topics Covered: 03:08
Getting Started: 04:44
Variables: 06:00
Data Types: 07:10
print(): 09:43
Lists: 11:45
type(): 13:10
Dictionaries: 16:28
input(): 21:42
IF Statements: 22:35
WHILE Loops: 32:38
Booleans: 33:54
Operators: 37:10
pass: 41:00
String Concatenation: 55:20
Imports: 01:08:50
randint(): 01:11:05
Functions: 01:15:05
return: 01:19:50
Arguments & Parameters: 01:21:29
f-strings: 01:29:40
append(): 01:38:40
FOR Loops: 01:44:10

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#python #pythonprogramming #pythonprogrammingforbeginners

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Complete Python In Simple Way : Chapter - 1 || Language Fundamentals || by Durga Sir

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Python Tutorial for Programmers - Python Crash Course

Finally a Python tutorial for programmers! Watch this Python crash course to learn Python fast.
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Python Exercises for Beginners:


Python Cheat Sheet:



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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

Python Programming

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Install :
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For Loop :
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String Functions :
File I/O :
Classes / Objects :
Constructors :
Inheritance :
Overwriting Functions :
Overloading Functions :
Polymorphism :

I have received a ton of requests to make a Python programming tutorial in which I teach pretty much everything in one video.

I'll cover modules, comments, print, arithmetic operators, order of operation, lists, tuples, dictionaries, conditional operators, logical operators, if, else, elif, loops, for, while, break, continue, functions, return, readline(), string operators, file i/o, classes, objects and much more.

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Python Tutorials for Beginners - Learn Python Online

Watch my BRAND NEW Python tutorial with projects:

Looking for Python tutorials for beginners? Watch this video to learn Python online.
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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

#1 Python Tutorial for Beginners | Introduction to Python

Python Tutorial to learn Python programming with examples
Complete Python Tutorial for Beginners Playlist :
Python Tutorial in Hindi :

In this video we will see :
- What is python
- Why to learn it
- Why it is so useful

Python is one of the fastest growing language

Python is interpreted, object oriented, high level, procedure oriented language

It has different versions

The reason behind it is there are huge number of libraries available in the market, many companies and developers are using it and it can be implemented in many areas.

It is general Purpose language as it can be used in Machine learning, GUI, Software Development, Web development and many more.

Google, YouTube, Dropbox, NASA, Yahoo use python

Reddit totally uses python


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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


Feel the real power of Python and programming! 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.

Python Tutorial for Beginners From the Basics to Advanced 1/2

Hello World Basics of Python 4:08 Hello World 5:46 Variables 8:48 Multiple variable declarations 12:32 Numbers & operators 16:30 Strings & string functions 23:56 Arrays 30:00 More array functions 37:19 Dictionaries 44:13 Dictionary functions 49:26 Tuples 54:38 Conditions (if/else) 58:06 Relational operators 1:04:03 Nested if/else-statements 1:08:26 Elif-statements 1:12:00 Logical operators 1:15:59 For-loops 1:23:20 While-loops 1:26:56 Nested for-loops 1:30:28 Prime number generator 1:39:22 Break, pass & continue 1:47:07 Try & except 1:49:59 Commenting 1:53:53 Quick tips 2:00:18 Functions 2:05:06 Global & local variables 2:07:52 Abs & Bool 2:11:48 Dir & Help 2:15:26 Eval & Exec 2:18:38 Int, Str & Float 2:22:22 Quick recap and the Sum Classes 2:26:43 Basics of classes 2:34:16 Functions of classes 2:38:22 Class attributes 2:44:43 Inheritance 2:51:54 Overriding methods File I/O 2:54:48 Creating a file 2:58:05 Reading a file 3:06:23 Writing to files 3:10:03 Appending to files 3:14:53 Copying to files Introduction to modules 3:19:23 Randint 3:21:59 Guessing game 3:31:32 Shuffle & Choice 3:35:40 Sys module 3:41:18 Time module Turtle module 3:53:22 Turtle module intro 3:57:39 For loops in turtle 4:02:02 Up & down in turtle 4:05:39 Coloring in turtle 4:14:07 Functions in turtle Crawling the web 4:18:16 Re module 4:27:45 Stocks 4:45:00 Weather 4:58:01 Definition Beautiful Soup 5:10:03 Introduction to further subjects 5:11:43 Installing Pip, BS4 & Requests 5:21:03 Prettify 5:34:46 .Children, .Descendants & .Content 5:40:30 .Parent & .String 5:44:27 Searching 5:53:19 Weather Parsing 6:04:22 Antonym Parsing MatPlotLib 6:11:15 Installing MatPlotLib 6:14:42 Creating our first graph 6:19:35 MatPlotLib interface 6:23:20 Adding labels 6:28:38 Graph from data in file 6:38:49 Basic coloring and subplots 6:46:30 More coloring 6:53:13 Multiple plots 6:57:23 Multiple graphs 7:01:43 3 graphs in a figure 7:08:01 Bar graphs 7:12:21 Modifying bar graphs 7:19:34 Pie charts 7:22:17 Modifying pie graphs 7:26:07 Adding a legend 7:29:33 3D Graphics 7:36:42 3D Scatter Plots 7:41:46 Multiple scatter plots 7:44:32 3D Bar graphs 7:54:28 3D Wireframe Pandas 8:00:00 Introduction 8:01:59 Series Data Structure 8:10:59 More Series functions 8:18:55 Data Frames 8:27:26 Create a CSV 8:29:46 Reading a CSV file 8:35:31 Writing to a CSV file 8:38:38 Getting our data 8:43:37 Slicing data frames 8:47:15 Data manipulation 8:57:42 Indexing and more 9:05:53 Merging data frames 9:14:48 GroupBy-function 9:20:47 MovieLens data 9:28:29 Heavy data manipulation 9:37:00 MatPlotLib with Pandas 9:41:16 MatPlotLib with Pandas pt. 2

Learn A-Z everything about Python, from the basics, to advanced topics like Python GUI, Python Data Analysis, and more! Do you want to be able to create games, parse the web and much more? If you need a quick brush-up, or learning Python for the first time, you've come to the right place! Let's get started learning one of the most easiest coding languages out there right now. There's no need to fret if you haven't coded before. By the time you finish this course, you'll be a pro at Python! Python is a great and friendly language to use and learn. It fun, and can be adapted to both small and large projects. Python will cut your development time greatly and overall, its much faster to write Python than other languages. This course will be a quick way to understand all the major concepts of Python programming. You'll be a whiz in no time. This course is a one-stop-shop for everything you'll need to know to get started with Python, along with a few incentives. We'll begin with the basics of Python, learning about strings, variables, and getting to know the data types. We'll soon move on to the loops and conditions in Python. Once we're done with that, we'll learn about functions and modules used in Python. After that we'll start to crawl the web for data like Stocks, and last but not least create some epic games in Python, using advanced code. I hope you're excited to dive into the World of Python with this course. Well, what are you waiting for? Let's get started!

Python Tutorial for Beginner | Full Course

Learn Python from start to end.

Introduction to Python
Pycharm
Variables
List Tuple
Data Types
Operators
User Input
If Elif else
for loop
Break Continue pass
Array
Numpy
Functions
Object Oriented Programming OOP
Object Class
Inheritance
Constructor
Polymorphism
Iterators
Generators
Python with Database
Jupyter
Anaconda

#python #fullcourse
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Python Tutorial for Beginners Part 1 | Python Programming Tutorial | Python Basics

Python Tutorial for Beginners Part 1 | Python Programming Tutorial | Python Basics | Python Tutorial

Hello and welcome to Python training video for beginners. If you are one among the curious to learn python programming language, you are at the right place. This is one of the best online python tutorials for the beginners and we hope this python tutorial will give you the best path to learn python programming language in the easiest way!

Check out the topics covered in this Python tutorial session:
• What is Python?
• Why should we use Python for Data Science?
• Data types in Python
- Simple types
- Complex types
• Lists, Sets, tuples, Integers
• Input Methods
• Loops
- While loop
- For loop
• Conditions
- If, else
- If elif, else

Python is a programming language; the programming languages will make computers to operate the functions the way we require. Whether it is an addition or handling a large amount of user’s request in the website background or backend. There is always a programming language which will help us to customize the way the computer works.

There are many categories of programming languages, in that we can categorize them into 3 levels i.e. Machine level language, Assembly language, and High-level language. So, these are the three-distinct classification of the programming languages.

Machine Level languages are quite binary in nature, they are quite difficult to code.

Assembly Level languages will use symbols, mnemonics, and they are quite easier to code compared to the machine level.

High-level languages are the easiest among all to code because they use English keywords. It is very easy to read, learn, and write as well. Here are some of the high-level programming languages, C, C++, Java, C#, Haskell, Python, Scala etc.

In high-level programming languages, there are two further classifications
- Object-oriented programming languages
- Functional programming languages

So as a conclusion we can define python as, it is a high-level programming language, which is functional in nature and also supports the concepts of object-oriented programming.
Versions of Python: Python has got two important versions,
- Python version 2
- Python version 3

Go through the entire video and shoot your queries in the comments section and please do not forget to subscribe the channel for more tutorials and technology updates.

#python, #pythonlectures, #pythonlanguage, #pythonfunctions, #pythonfordatascience, #pythoncodingforbeginners, #pythoncoding, #pythonlanguage

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Learn Python Programming - Full Course for Beginners [2019]

Watch this Python tutorial for absolute beginners to learn Python programming from scratch. Includes full exercises and projects.

Topics included:

Basics of Python
Hello World
Code Editors
Variables
variable declarations
First Program in Python
Data Types
Variables
Indentation
Single line comments
Multi-line comments
Basic arithmetic Division
Operator Precedence
Numbers & operators
Strings & string functions
Dictionaries
Dictionary functions
Tuples
Iterables
Conditions (if and else)
Nested if/else-statements,
Elif-statements
Logical operators
For-loops

What can we do with Python?

Web Development- ranging from simple to complex web applications, one can use Flask or Django frameworks.

Data Analysis- so many awesome libraries like Seaborn, Mathplotlib, Numpy and Pandas for data analysis and visualization.

Machine Learning- you name it! Predicting house price, predicting income, voice recogniztion, advertisement, movie recommendation, fraud detection, etc can be implemented using machine learning algorithms in Python.

Raspberry Pi and Computer Vision- face detection (OpenCV library), automation, robots.

Game Development – Pygame

Automating repetitive tasks – save tons of time.

Web Scraping- grab data from a given website.

Develop desktop apps

Browser automation – Selenium Webdriver

Python Tutorial From Basic To Advance

Python Tutorial For Beginners | Learn Python

Learn More about Python @

This Python Tutorial is designed for beginners. A little/ no knowledge or experience is required to learn Python Programming. Learn Python from basic to advance level. From install python to writing search engine program.

Introduction to Python Prograamming

Python is an easy to learn, well-designed, high-level, interactive scripting programming language. It has a simple and effective approach to an object-oriented programming scripting language. It meets nearly all the fundamental aspects of a good general purpose programming language of today and tomorrow.

According to ieee.org top programming spectrum ranking, Python ranks 3rd in the popularity. It ranks far above the other popular languages like C#, PHP, Ruby and even C++. It falls just after the C and Java. python open

Python increases productivity many times beyond the compiled or statically typed languages such as Java, C, and C++. Mostly, Python code is one-third to the size of some popular languages like PHP, C++ or Java, or even sometimes one-fifth. This dramatically decreases the effort of code writing, debugging and further maintenance and obviously, increases the code readability and understanding.

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation.

The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications.

This Python tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well.


#PythonTutorial #LearnPython #Python

Python books for beginners? What Python projects to work on? | 2 Python Beginner FAQ’s!

What are the best books for Python beginners? What type of Python projects should you work on after learning the basics?

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Links to the resources I mentioned in the video:
Automate the Boring Stuff with Python:
Python Crash Course:
Learn Python the Hard Way:

Pluralsight:
Udemy:
freeCodeCamp:

Caltech ML course:
Stanford ML course:
Kaggle:
My data analysis/visualization intro vid:
My data analysis/visualization full course:

Learn Python Programming 🔥 Full Course ✌️ Absolute Beginners

This python programming course will teach you all the fundamental and core concepts of python programming language. Follow this python tutorial video and be a python programmer from zero experience. Checkout the full Python Programming Course in 5 Hours on Udemy:

বাংলা ভাষায় পাইথন শিখতে ভিজিট করুন: or

🚀 Topics Click To Go Directly
⌨️ 0:00 | Introduction

💪 Python Setup
⌨️ 0:52 | Python Setup in Mac
⌨️ 1:48 | Python Setup in Windows
⌨️ 2:37 | Visual Studio Code Editor Setup in Mac
⌨️ 3:21 | Visual Studio Code Editor Setup in Windows

🤔 Hello World Python Basics
⌨️ 4:18 | Code Run in IDLE Mac
⌨️ 5:07 | Code Run in IDLE Windows
⌨️ 6:03 | Code Run in Mac Terminal
⌨️ 7:38 | Code Run in Windows PowerShell
⌨️ 8:48 | Script Run in Mac Terminal
⌨️ 10:27 | Script Run in Windows PowerShell

📖 Python Basics
⌨️ 12:42 | Variable
⌨️ 20:08 | Operators
⌨️ 28:48 | String
⌨️ 40:47 | Condition if elif else
⌨️ 49:54 | Iteration While and For Loop

📚Collection in Python
⌨️ 57:38 | List
⌨️ 1:13:24 | Tuple
⌨️ 1:18:29 | Dictionary
⌨️ 1:24:56 | Set

⚒Function and Lambda in Python
⌨️ 1:28:05 | Function
⌨️ 1:54:21 | Lambda

🚁Object Oriented Programming in Python
⌨️ 1:56:01 | Class
⌨️ 2:20:59 | Inheritance

⛵️Python Programming Features
⌨️ 2:38:29 | Modules
⌨️ 2:49:47 | Exceptions Handling
⌨️ 3:02:48 | Script Arguments
⌨️ 3:08:19 | __main__ Entry Point
⌨️ 3:11:36 | Conditional Expression
⌨️ 3:13:25 | Comprehension Syntax

✈️Python Tutorial Advanced
⌨️ 3:17:44 | Decorator
⌨️ 3:22:17 | Files RW | CSV | JSON
⌨️ 3:46:53 | Regular Expression
⌨️ 4:02:43 | Unit Test
⌨️ 4:09:11 | End

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Python is an interpreted high level language for general purpose programming. It was initiated by Guido Van Rossum and first released in 1991. It is a duck type language, easy to understand and now very popular in both academic and professional world.

Using Python one can write simple script to web app development. Also in machine learning or in deep learning python is very popular as it has some outstanding open source libraries.

Python 3 has a built-in IDLE – Interactive Development Environment installed automatically. If you run it you can see the following window. At the top left you can see the version number installed, here we are seeing Python 3.7

Web scraping is a technique to extract data from webpage using computer program. Python is a very popular language for web scraping. Python’s built-in urllib library to connect website and retrieve data and a third party BeautifulSoup library to parse HTML data are very popular combination of python web scraping.

Sometimes we also want to scrap some webpage’s information but which is fully loaded by JavaScript framework. In normal scraping techniques it’s not possible to scrap data as the data is loaded lazily. We can solve both webpage testing and dynamic web page scraping by running JavaScript code using Selenium library.

#python_full_course #python #beginners

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