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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


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Python Tutorial for Beginners [Full Course] 2019

Python tutorial for beginners - Learn Python for machine learning and web development.
🔥Get My Complete Python Programming Course with a 90% Discount (LIMITED to the first 200 students):


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#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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Full Python Programming Course | Python Tutorial for Beginners | Learn Python (2019)

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 Full Course for Beginners [Tutorial] 2019 | by Clever Programmer

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


🔥 TABLE OF CONTENTS... ENJOY 👇

Installing Python: 1:42

Hello World Program: 3:38

Turtle in Python: 9:31

Interactive Shell vs. Script: 14:54

Variables in Python: 20:07

Strings in Python: 23:36

Functions in Python: 28:13

Multiple Function Arguments: 36:36

Loops in Python: 45:49

Primitive Data Types: 51:31

String Slicing: 55:51

Lists in Python: 01:13:34

Append List Method: 01:26:07

Project 1: Circle of Squares: 01:35:32

Solution: Circle of Squares: 01:37:59

Dictionaries in Python: 01:47:59

Boolean algebra in Python: 02:04:26

Logical Operators in Python: 02:15:14

Control Flow in Python: 02:30:41

For Loops in Python: 02:46:42

While Loops in Python: 03:07:27

Exercise 1: Sum Two: 03:21:29

Exercise 2: Square Number: 03:26:49

Exercise 3: Check is Even: 03:33:55

Exercise 4: Check is Odd: 03:40:29

Exercise 5: Length of a String: 03:44:02

Exercise 6: Last Letter of a String: 03:51:56

Exercise 7: Find the Bigger Guy: 03:55:17

Exercise 8: Find the Biggest Guy: 03:59:16

Exercise 9: Usain Bolt Races Against You: 04:08:41

Exercise 10: Rock Paper Scissors: 04:19:29

Solution: Rock Paper Scissors: 04:30:17

Exercise 11: Square a List: 04:48:40

Tuples in Python: 04:51:46

Mutability in Python: 04:56:26


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

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#pythontutorial #cleverprogrammer #pythonprogramming #tutorial
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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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Python Tutorial for Beginner | Full Course

Learn Python from start to end.

Python Tutorial Playlist :

1. Introduction to Python - 01:10
2. Python Setup - 05:14
3. Getting Started with Python - 13:06
4. Variables in Python - 27:02
5. List in Python - 36:48
6. Tuple / Set in Python - 47:02
7. Python set path in Windows and help - 53:16
8. More on Variables in Python - 58:46
9. Data types in Python - 01:07:31
10. Operators in Python - 01:21:42
11. Number System Conversion in Python - 01:32:24
12. IDLE Previous Command | Clear screen - 01:40:17
13. Python BitWise Operators - 01:43:11
14. Import Math Function in Python - 01:55:28
15. Working with PyCharm | run | debug | trace | Py file - 02:02:43
16. User input in Python | Command line input - 02:12:38
17. if..elif..else Statement in Python - 02:23:57
18. While loop in Python - 02:39:01
19. For loop in Python - 02:51:19
20. Break Continue Pass in Python - 02:58:09
21. Printing Patterns in Python - 02:58:09
22. Object Oriented Programming - 03:15:49
23. Class and Object in Python - 03:22:29
24. _INIT_METHOD - 03:33:19
25. OPPs Concepts - 03:33:54
26. Types of Methods in Python - 03:55:30
27. Inner Class In Python - 04:06:46
28. Inheritance - 04:13:51
29. Operator Overloading - 04:36:21
30. Method Overloading and Method Overriding - 04:50:39
31. Exception Handling in Python - 05:00:57
32. Multithreading - 05:16:35
33. File Handling - 05:31:05
34. Comments in Python - 05:43:06
35. Linear Search in Python - 05:53:19
36. Selection sort - 06:16:42
37. MySQL Workbench Setup - 06:24:05
38. Python Database Connection - 06:31:59
39. GitHub - 06:41:00
#python #fullcourse
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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

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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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 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!
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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

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

** Python Certification Training: **
This Edureka video on Python Tutorial (Python Tutorial Blog: covers all the basic knowledge for beginners who are planning to switch over to Python Development.

01:19 Introduction to Python
02:16 Reasons to choose Python
05:02 Who is using Python?
05:25 Installing and running Python
07:25 Installing Jupyter Notebook
09:11 Variables in Python
11:27 Python Tokens
11:41 Python Keywords
12:05 Python Identifiers
14:26 Python Literals
19:51 Python Operators
31:38 Data Types in Python
32:03 Numbers
33:18 Strings
40:00 Tuples
42:31 Lists
46:50 Dictionaries
50:42 Sets
52:52 Flow Control in Python
53:11 if-else
53:09 nested if else
57:03 for statement
59:49 while loop
01:01:37 break statement
01:02:44 continue statement
01:04:59 Function in Python
01:09:59 Pass By Value
01:10:52 Pass By Reference

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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!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

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Learn Python For Beginners | Programming Tutorial

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Today we are going to cover the basics of the python programming language. If you are new to programming or you have some experience you can follow this tutorial regardless of your skill level.

If you are interested in machine learning, backend development and more, python is a great programming language to learn.

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Installing Python- 00:01:49
Set Up VSCode for Python - 00:04:02
Write your first Python Code - 00:06:04
Python Variables - 00:07:16
String Concatination - 00:11:16
Strings in Python - 00:17:01
Methods - 00:21:48
If Else Statements - 00:25:42
Falsey Values - 00:35:27
Lists, Tuples and Sets - 00:37:18
Loops - 00:46:23
Immutable - 00:57:06
Functions - 01:00:37
Dictionaries - 01:08:45
Python Libraries 01:15:40

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Python Crash Course For Beginners

In this crash course we will be going over Python programming basics like variables, data types and structures, functions, loops, classes and more. Timestamps are below...

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2:15 - Comments, Variables & Data Types
9:50 - String Formatting & Methods
17:40 - Lists
24:15 - Tuples & Sets
33:09 - Dictionaries
42:15 - Functions
49:25 - Conditionals
59:09 - Loops
1:05:06 - Modules
1:15:52 - Classes & Objects
1:26:17 - Working With Files
1:30:57 - Working With JSON

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Python for Everybody - Full Course with Dr. Chuck

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.

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Learn Data Science Tutorial - Full Course for Beginners

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the sexiest job of the 21st century. You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You'll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.

💻 Course created by Barton Poulson from datalab.cc.
🔗 Check out the datalab.cc YouTube channel:
🔗 Watch more free data science courses at

⭐️ Course Contents ⭐️
⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science
- Welcome (1.1)
- Demand for Data Science (2.1)
- The Data Science Venn Diagram (2.2)
- The Data Science Pathway (2.3)
- Roles in Data Science (2.4)
- Teams in Data Science (2.5)
- Big Data (3.1)
- Coding (3.2)
- Statistics (3.3)
- Business Intelligence (3.4)
- Do No Harm (4.1)
- Methods Overview (5.1)
- Sourcing Overview (5.2)
- Coding Overview (5.3)
- Math Overview (5.4)
- Statistics Overview (5.5)
- Machine Learning Overview (5.6)
- Interpretability (6.1)
- Actionable Insights (6.2)
- Presentation Graphics (6.3)
- Reproducible Research (6.4)
- Next Steps (7.1)

⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)
- Welcome (1.1)
- Metrics (2.1)
- Accuracy (2.2)
- Social Context of Measurement (2.3)
- Existing Data (3.1)
- APIs (3.2)
- Scraping (3.3)
- New Data (4.1)
- Interviews (4.2)
- Surveys (4.3)
- Card Sorting (4.4)
- Lab Experiments (4.5)
- A/B Testing (4.6)
- Next Steps (5.1)

⌨️ Part 3: Coding (2:32:42)
- Welcome (1.1)
- Spreadsheets (2.1)
- Tableau Public (2.2)
- SPSS (2.3)
- JASP (2.4)
- Other Software (2.5)
- HTML (3.1)
- XML (3.2)
- JSON (3.3)
- R (4.1)
- Python (4.2)
- SQL (4.3)
- C, C++, & Java (4.4)
- Bash (4.5)
- Regex (5.1)
- Next Steps (6.1)

⌨️ Part 4: Mathematics (4:01:09)
- Welcome (1.1)
- Elementary Algebra (2.1)
- Linear Algebra (2.2)
- Systems of Linear Equations (2.3)
- Calculus (2.4)
- Calculus & Optimization (2.5)
- Big O (3.1)
- Probability (3.2)

⌨️ Part 5: Statistics (4:44:03)
- Welcome (1.1)
- Exploration Overview (2.1)
- Exploratory Graphics (2.2)
- Exploratory Statistics (2.3)
- Descriptive Statistics (2.4)
- Inferential Statistics (3.1)
- Hypothesis Testing (3.2)
- Estimation (3.3)
- Estimators (4.1)
- Measures of Fit (4.2)
- Feature Selection (4.3)
- Problems in Modeling (4.4)
- Model Validation (4.5)
- DIY (4.6)
- Next Step (5.1)

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Python Tutorial | Python Tutorial For Beginners - Full Course | Python Programming | Simplilearn

This video on Python will take you through all the basics and advanced concepts present in Python programming language. You will learn about data types, variables, lists, tuples, dictionaries, and a lot more. You will understand how to use decision-making statements and loops in Python. You will get an idea about creating user-defined functions and learn the various object-oriented programming concepts along with threading and Python scripting. Then, you will learn the various machine learning libraries available in Python, which includes NumPy, Pandas, Matplotlib, Scikit-Learn. Finally, you will come across a few important interview questions that you could face in any Python interview. Now, let's dive into learning Python in detail.

Below topics are explained in this Python tutorial:
1. Python installation in Windows 10 (00:33)
2. Jupyter Notebook tutorial (04:02)
3. Python Variables (22:42)
4. Python Numbers tutorial (47:00)
5. Python Tuples tutorial (1:19:11)
6. Strings in Python (01:39:41)
7. Python Sets & Dictionaries (02:01:57)
8. Python if,else statements (02:20:24)
9. Python Loops tutorial (02:32:48)
10. For Loop in Python (02:54:49)
11. While Loop in Python (03:13:57)
12. Arrays in Python (03:44:20)
13. Functions in Python (03:57:20)
14. Python Objects & Classes (04:12:48)
15. Python Threading (04:49:08)
16. Python scripting for beginners (05:03:18)
17. Top 5 Python libraries (05:27:11)
18. NumPy tutorial (05:42:55)
19. Python Pandas (06:12:59)
20. MatplotLib tutorial (06:58:18)
21. Scikit-Learn tutorial (07:50:09)
22. Web scraping using Python (08:33:43)
23. How to become a Python developer (09:11:41)
24. Python interview questions and answers (09:21:08)

We will also be looking at various inbuilt functions used with the data types in Python, functions as objects, args and kwargs keywords, constructors and even plotting different graphs. Finally, we will learn to build, train and test a random forest model using the Scikit-Learn library.
By the end of this tutorial you will learn to write programs in Python and basics of using Python for Machine learning and Data Science applications.

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Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer.

What is this course about?
The All-in-One Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python.
What are the course objectives?

By the end of this online Python training course, you will be able to:
1. Internalize the concepts & constructs of Python
2. Learn to create your own Python programs
3. Master Python Django & advanced web development in Python
4. Master PyGame & game development in Python
5. Create a flappy bird game clone

The Python training course is recommended for:
1. Any aspiring programmer can take up this bundle to master Python
2. Any aspiring web developer or game developer can take up this bundle to meet their training needs

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Python Programming For Beginners Tutorials

Python For Beginners - This video is for those who willing to learn From install python to writing search engine crawler program using Pycharm IDE(Integrated development Environment).

Python is a interpreted, interactive, object-oriented, and high-level programming language. This tutorial is made for programmers who need to learn Python programming language from scratch.

Learn More @

#PythonTutorial #LearnPython #Python

Python Tutorial for Beginners - Full Python Programming Crash Course

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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