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Python Full Course - Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka
Channeledureka!In brief
This Python full course by Edureka walks beginners through the language’s core concepts—from variables and loops to object-oriented programming and libraries like NumPy and Pandas—using practical examples. You’ll learn how Python works in industry applications and set up your development environment with tools like PyCharm. Ideal for those starting from scratch or looking to formalize their understanding.
Key steps
- Install Python and set up an IDE like PyCharm
- Declare variables and explore data types (numbers, strings, lists, dictionaries)
- Write loops (while, for) and nested loops to handle repetition
- Create functions, decorators, and anonymous functions (lambda)
- Implement object-oriented programming with classes, inheritance, and exception handling
Questions & answers
Does this cover Python libraries like NumPy and Pandas?
Yes, the course includes dedicated sections on NumPy operations, SciPy functions, and Pandas data handling.
Chapters
Description from the creator
🔵𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): edureka.co/python-programming-certification-tra…
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This Python for Beginners tutorial will cover all the python programming fundamentals such as data types, collections, loops, modules, oops concepts, functions, operators and much more. Below are the topics covered in this Python for beginners full course video:
00:00 Introduction to Python Full Course
01:55 What is Python?
03:40 Why is Python popular?
04:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Python Learning Path
9:15 Python Career Opportunities
10:30 How does Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is a Python Developer?
19:20 Python Developer Job Trends
21:55 How to Become a Python Developer?
23:05 Who is a Python developer?
44:30 Python Roadmap
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 Specialized 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 in Python
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 in Python
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
9:50:58 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
10:43:28 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
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: edrk.in/DKQQ4Py
🔹 Edureka Python Tutorial Playlist: goo.gl/WsBpKe
🔹 Edureka Python Tutorial Blogs: bit.ly/2ychSCq
Edureka Python Courses
🔵 Python Programming Certification: bit.ly/37rEsnA
🔵 Python Certification Training for Data Science: bit.ly/2Gj6fux
🔵 Python Masters Program: bit.ly/2Yqpsmr
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free).
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This Python for Beginners tutorial will cover all the python programming fundamentals such as data types, collections, loops, modules, oops concepts, functions, operators and much more. Below are the topics covered in this Python for beginners full course video:
00:00 Introduction to Python Full Course
01:55 What is Python?
03:40 Why is Python popular?
04:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Python Learning Path
9:15 Python Career Opportunities
10:30 How does Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is a Python Developer?
19:20 Python Developer Job Trends
21:55 How to Become a Python Developer?
23:05 Who is a Python developer?
44:30 Python Roadmap
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 Specialized 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 in Python
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 in Python
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
9:50:58 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
10:43:28 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
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: edrk.in/DKQQ4Py
🔹 Edureka Python Tutorial Playlist: goo.gl/WsBpKe
🔹 Edureka Python Tutorial Blogs: bit.ly/2ychSCq
Edureka Python Courses
🔵 Python Programming Certification: bit.ly/37rEsnA
🔵 Python Certification Training for Data Science: bit.ly/2Gj6fux
🔵 Python Masters Program: bit.ly/2Yqpsmr
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free).
About this tutorial
edureka! published this 11:56:22 video tutorial on December 4, 2019. It has been watched 6,928,967 times on YouTube.
- Channel
- edureka!
- Category
- Education
- Duration
- 11:56:22
- Published
- December 4, 2019
- Views
- 6,928,967
- Likes
- 127,879
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