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Every Video course in this channel are either from YouTube or from some other online course providers, I DON'T OWN ANY OF THIS CONTENTS, they belong to their respective copyright owners we will try not to make any infringement of copyright. I WILL DELETE THIS VIDEOS SOON so please forward the courses to your SAVED MESSAGES to avoid copyright infringement.
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FAIR-USE COPYRIGHT DISCLAIMER
* Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, commenting, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use.
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π©βπ» Learn PROGRAMMING π¨βπ» pinned Β«ββ βIMPORTANT NOTICE ββ β Every Video course in this channel are either from YouTube or from some other online course providers, I DON'T OWN ANY OF THIS CONTENTS, they belong to their respective copyright owners we will try not to make any infringement of copyright.β¦Β»
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Python Full Course_Learn Python In 12 Hours
π©βπ» Learn PROGRAMMING π¨βπ»
Python Full Course_Learn Python In 12 Hours
Python Full Course - Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka
2,694,961 views
edureka!
2.49M subscribers
Published on 1 Dec 2019
π΅Edureka Python Programming Certification Course: https://www.edureka.co/python-program...β
This Edureka Python for Beginners will help you learn the Python programming language and its core concepts with examples from scratch. This Python tutorial video helps you to learn the following concepts:
00:00β Introduction
01:55β What is Python?
03:40β Why is Python popular?
04:55β Features of Python
6:50β Where is Python used in the industry?
7:50β Learning Path
9:15β Career Opportunities
10:30β How Netflix use Python?
11:55β How does it use Python?
18:15β Python Developer Salary
18:50β Who is Python Developer?
19:20β Python Developer Job Trends
21:55β How to become a Python Developer?
23:05β Who is a Python developer?
33:50β Job Roles
41:40β Emerging Job Roles
44:30β Road Map
47:05β Python Installation
54:30β How to run a Python program?
58:35β Best IDE for Python
59:35β What is an IDE?
59:50β Features of an IDE
1:00:50β Best IDEs of Python
1:07:40β PyCharm Tutorial
1:07:42β Introduction to PyCharm
1:09:07β Features of PyCharm
1:28:02β Comments in Python
1:28:52β What are Comments?
1:29:47β When to use Python?
1:30:22β How to write comments in Python?
1:32:22β Types of Comments
1:35:57β Docstring Comments
1:39:02β Variables & Data Types
1:39:17β Variable definition & Declaration
1:41:22β Data Types
1:41:42β Numbers
1:43:12β String
1:46:02β List
1:48:12β Dictionary
1:50:12β Tuple
1:51:27β Set
1:53:52β Type Conversion
1:54:42β Python Collections
1:57:12β Specialised Collections Data Types
2:14:57β Arrays
2:15:32β What is an Array?
2:17:27β How to create Arrays in Python?
2:20:52β Accessing Array Elements
2:22:42β Basic Array Operations
2:24:27β Adding elements to an Array
2:27:52β Removing Elements of an Array
2:33:42β Slicing an Array
2:36:12β Looping through an Array
2:39:57β Hash Table and HashMap
2:41:37β Creating Dictionaries
2:44:02β Nested dictionaries
2:46:52β Performing Operations on Hash Table
2:55:32β Operators in Python
3:13:17β Loops in Python
3:13:52β Why to use Python?
3:16:12β What are Loops?
3:18:07β Loops in Python
3:18:17β While Loop
3:26:22β For Loop
3:32:22β Nested Loop
3:48:12β Patterns in Python
4:24:27β File Handling
4:25:07β Why need File Handling
4:27:02β Types of Files
4:28:37β What is File Handling?
4:29:22β Python File Handling System
4:32:52β File Operations for Reading
4:41:27β Python File Write Method
4:47:37β Decorator
4:48:22β Functions in Python
4:54:07β Decorators in Python
5:08:32β Lambda
5:10:17β How to write Anonymous functions?
5:29:02β Map-Reduce Functions
5:29:47β Introduction to map(), filter(), reduce()
5:46:22β What are Generators?
5:47:32β Normal functions vs Generators
5:48:02β Writing Generators in Python
5:52:57β Generators with Loops
5:53:57β Generator Expressions
5:56:22β Use-Cases
6:02:27β OOPS Concepts
6:03:07β Classes & Objects
6:33:47β Inheritance in Python
6:36:52β Types of Inheritance
6:42:47β Python Super Function
6:44:52β Exception Handling
6:54:42β Try & Except block
7:05:52β Python Module
7:07:47β How to create a Module?
7:17:33β Python Modules Search Path
7:24:23β Date & Time
7:24:58β time module
7:38:23β Numpy
7:38:58β What is Numpy?
7:41:43β Numpy vs List
7:49:03β Numpy Operations
8:05:23β Numpy Special Functions
8:09:58β SciPy
8:10:48β What is Python SciPy?
8:12:23β Basic Functions
8:15:48β Special Functions
8:18:53β Integration Functions
8:24:43β Linear Algebra
8:26:48β Interpolation Functions
8:28:18β Pandas
8:29:18β Data life-cycle
8:31:23β What is Pandas?
8:35:33β Pandas Operations
8:54:13β Example
8:59:38β Python for Statistics
9:02:43β Pydoop
9:04:03β Matplotlib
9:04:28β Data Visualization
9:09:13β Matplotlib
2,694,961 views
edureka!
2.49M subscribers
Published on 1 Dec 2019
π΅Edureka Python Programming Certification Course: https://www.edureka.co/python-program...β
This Edureka Python for Beginners will help you learn the Python programming language and its core concepts with examples from scratch. This Python tutorial video helps you to learn the following concepts:
00:00β Introduction
01:55β What is Python?
03:40β Why is Python popular?
04:55β Features of Python
6:50β Where is Python used in the industry?
7:50β Learning Path
9:15β Career Opportunities
10:30β How Netflix use Python?
11:55β How does it use Python?
18:15β Python Developer Salary
18:50β Who is Python Developer?
19:20β Python Developer Job Trends
21:55β How to become a Python Developer?
23:05β Who is a Python developer?
33:50β Job Roles
41:40β Emerging Job Roles
44:30β Road Map
47:05β Python Installation
54:30β How to run a Python program?
58:35β Best IDE for Python
59:35β What is an IDE?
59:50β Features of an IDE
1:00:50β Best IDEs of Python
1:07:40β PyCharm Tutorial
1:07:42β Introduction to PyCharm
1:09:07β Features of PyCharm
1:28:02β Comments in Python
1:28:52β What are Comments?
1:29:47β When to use Python?
1:30:22β How to write comments in Python?
1:32:22β Types of Comments
1:35:57β Docstring Comments
1:39:02β Variables & Data Types
1:39:17β Variable definition & Declaration
1:41:22β Data Types
1:41:42β Numbers
1:43:12β String
1:46:02β List
1:48:12β Dictionary
1:50:12β Tuple
1:51:27β Set
1:53:52β Type Conversion
1:54:42β Python Collections
1:57:12β Specialised Collections Data Types
2:14:57β Arrays
2:15:32β What is an Array?
2:17:27β How to create Arrays in Python?
2:20:52β Accessing Array Elements
2:22:42β Basic Array Operations
2:24:27β Adding elements to an Array
2:27:52β Removing Elements of an Array
2:33:42β Slicing an Array
2:36:12β Looping through an Array
2:39:57β Hash Table and HashMap
2:41:37β Creating Dictionaries
2:44:02β Nested dictionaries
2:46:52β Performing Operations on Hash Table
2:55:32β Operators in Python
3:13:17β Loops in Python
3:13:52β Why to use Python?
3:16:12β What are Loops?
3:18:07β Loops in Python
3:18:17β While Loop
3:26:22β For Loop
3:32:22β Nested Loop
3:48:12β Patterns in Python
4:24:27β File Handling
4:25:07β Why need File Handling
4:27:02β Types of Files
4:28:37β What is File Handling?
4:29:22β Python File Handling System
4:32:52β File Operations for Reading
4:41:27β Python File Write Method
4:47:37β Decorator
4:48:22β Functions in Python
4:54:07β Decorators in Python
5:08:32β Lambda
5:10:17β How to write Anonymous functions?
5:29:02β Map-Reduce Functions
5:29:47β Introduction to map(), filter(), reduce()
5:46:22β What are Generators?
5:47:32β Normal functions vs Generators
5:48:02β Writing Generators in Python
5:52:57β Generators with Loops
5:53:57β Generator Expressions
5:56:22β Use-Cases
6:02:27β OOPS Concepts
6:03:07β Classes & Objects
6:33:47β Inheritance in Python
6:36:52β Types of Inheritance
6:42:47β Python Super Function
6:44:52β Exception Handling
6:54:42β Try & Except block
7:05:52β Python Module
7:07:47β How to create a Module?
7:17:33β Python Modules Search Path
7:24:23β Date & Time
7:24:58β time module
7:38:23β Numpy
7:38:58β What is Numpy?
7:41:43β Numpy vs List
7:49:03β Numpy Operations
8:05:23β Numpy Special Functions
8:09:58β SciPy
8:10:48β What is Python SciPy?
8:12:23β Basic Functions
8:15:48β Special Functions
8:18:53β Integration Functions
8:24:43β Linear Algebra
8:26:48β Interpolation Functions
8:28:18β Pandas
8:29:18β Data life-cycle
8:31:23β What is Pandas?
8:35:33β Pandas Operations
8:54:13β Example
8:59:38β Python for Statistics
9:02:43β Pydoop
9:04:03β Matplotlib
9:04:28β Data Visualization
9:09:13β Matplotlib
π2
π©βπ» Learn PROGRAMMING π¨βπ»
Python Full Course_Learn Python In 12 Hours
9:10:13β Types of Plots
9:30:13β Multiple Plots
9:32:18β Seaborn
9:32:53β Introduction to Seaborn
9:33:33β Seaborn vs Matplotlib
9:34:28β How to install Seaborn?
9:34:48β Installing Dependencies
9:35:33β Python Seaborn Functions
9:44:23β Multi-Plot Grids
9:47:08β Plot Aesthetics
9:50:58β FIFA Use-case
10:15:33β OpenCV Tutorial
10:16:03β What is Computer Vision?
10:16:48β How computer reads an Image?
10:18:53β What is OpenCV?
10:19:58β Basic operations with OpenCV
10:27:33β Face Detection
10:27:38β Face Detection using OpenCV
10:31:53β Capturing Video
10:43:28β Use-case - Motion Detector
10:54:58β Web Development Framework
10:55:23β What are Frameworks in Python?
11:08:34β Python Web Development
11:09:04β Python Web Development Libraries
11:09:24β Python & Django
11:28:19β Web Scraping
11:33:49β Packages used for web Scraping
πΉEdureka Community: https://bit.ly/EdurekaCommunityβ
πΉEdureka Python Tutorial Playlist: https://goo.gl/WsBpKeβ
πΉEdureka Python Tutorial Blogs: https://bit.ly/2ychSCqβ
----------- Edureka Python Courses ------------
π΅Python Programming Certification: http://bit.ly/37rEsnAβ
π΅Python Certification Training for Data Science: http://bit.ly/2Gj6fuxβ
π΅Python Masters Program: https://bit.ly/2Yqpsmrβ
π΅Data Scientist Masters Program: http://bit.ly/2t1snGMβ
Got a question on the topic? Please share it in the comment section.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
9:30:13β Multiple Plots
9:32:18β Seaborn
9:32:53β Introduction to Seaborn
9:33:33β Seaborn vs Matplotlib
9:34:28β How to install Seaborn?
9:34:48β Installing Dependencies
9:35:33β Python Seaborn Functions
9:44:23β Multi-Plot Grids
9:47:08β Plot Aesthetics
9:50:58β FIFA Use-case
10:15:33β OpenCV Tutorial
10:16:03β What is Computer Vision?
10:16:48β How computer reads an Image?
10:18:53β What is OpenCV?
10:19:58β Basic operations with OpenCV
10:27:33β Face Detection
10:27:38β Face Detection using OpenCV
10:31:53β Capturing Video
10:43:28β Use-case - Motion Detector
10:54:58β Web Development Framework
10:55:23β What are Frameworks in Python?
11:08:34β Python Web Development
11:09:04β Python Web Development Libraries
11:09:24β Python & Django
11:28:19β Web Scraping
11:33:49β Packages used for web Scraping
πΉEdureka Community: https://bit.ly/EdurekaCommunityβ
πΉEdureka Python Tutorial Playlist: https://goo.gl/WsBpKeβ
πΉEdureka Python Tutorial Blogs: https://bit.ly/2ychSCqβ
----------- Edureka Python Courses ------------
π΅Python Programming Certification: http://bit.ly/37rEsnAβ
π΅Python Certification Training for Data Science: http://bit.ly/2Gj6fuxβ
π΅Python Masters Program: https://bit.ly/2Yqpsmrβ
π΅Data Scientist Masters Program: http://bit.ly/2t1snGMβ
Got a question on the topic? Please share it in the comment section.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Edureka Community
Trending questions in Edureka Community
Download more Books at : https://t.me/joinchat/dK3NxpcMU2hiYWI9
Real_World_Python_A_Hacker's_Guide_to_Solving_Problems_with_Code.pdf
13.5 MB
Real-World Python: A Hacker's Guide to Solving Problems with Code
You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how.
#Python #hacking #nostarchpress
More Books Here : https://t.me/joinchat/dK3NxpcMU2hiYWI9
You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how.
#Python #hacking #nostarchpress
More Books Here : https://t.me/joinchat/dK3NxpcMU2hiYWI9
Practice Code: 001
Each level increases the complexity. Each level should satisfy the previous level
π₯How many levels can you achieve? π₯
#python #practiceCode #samples #interviewQuestions #strings #numbers #validation
Each level increases the complexity. Each level should satisfy the previous level
π₯How many levels can you achieve? π₯
#python #practiceCode #samples #interviewQuestions #strings #numbers #validation
Practice Code: 002
Accept a number from the user and return the sum of all natural numbers that are multiples of 5,7 less than the number entered by the user. Example --- Input: 15 --- 5, 7, 10, 14 and return 36
π₯Can you solve this? π₯
#python #practiceCode #samples #interviewQuestions #numbers
Accept a number from the user and return the sum of all natural numbers that are multiples of 5,7 less than the number entered by the user. Example --- Input: 15 --- 5, 7, 10, 14 and return 36
π₯Can you solve this? π₯
#python #practiceCode #samples #interviewQuestions #numbers
Practice Code: 003
In an array, that has been sorted in ascending order, but has been cyclically shifted, find the element that has the minimum element.
Example, [5, 6, 7, 8, 9, 10, 11, 1, 2, 3, 4]
Write an algorithm that optimally finds the minimum element in such an array.
««« Click here for solution »»»
π₯Ready to take this challenge? π₯
#python #practiceCode #samples #interviewQuestions #numbers #algorithm
In an array, that has been sorted in ascending order, but has been cyclically shifted, find the element that has the minimum element.
Example, [5, 6, 7, 8, 9, 10, 11, 1, 2, 3, 4]
Write an algorithm that optimally finds the minimum element in such an array.
««« Click here for solution »»»
π₯Ready to take this challenge? π₯
#python #practiceCode #samples #interviewQuestions #numbers #algorithm
GitHub
LearnPython/Tasks/0003.ipynb at master Β· ignani/LearnPython
Source Code and Samples from the tutorial videos. Contribute to ignani/LearnPython development by creating an account on GitHub.