Requirements: 4.4
Overview: Learn Python + Django Framework + Flask Framework + Machine Learning + Artificial Intelligence + Deep Learning + Blockchain + Pycharm and more, completely Offline and without Ads. This is an in-depth guide to the most popular and most in-demand programming language Python.
Topics
Learn Python 3
Python 3 Introduction
What is New in Python 3
Python 3 Overview
Python 3 Environment Setup
Learn Python 3 Basic Syntax
Learn Python Variable Types
Learn Python Basic Operators
Learn Python Decision Making
Python 3 Loops
Python 3 Numbers
Learn Python Strings
Python Lists
Python 3 Tuples
Python Dictionary
Python Date & Time
Learn Python Functions
Python 3 Modules
Python Files I/O
Python 3 Exceptions
Python 3 Advanced Tutorials
Learn Python 3 Classes/Objects
Learn Python 3 Reg Expressions
Learn Python 3 CGI Programming
Learn Python 3 Database Access
Python 3 Networking
Python 3 Sending Email
Learn Python 3 Multithreading
Learn Python 3 XML Processing
Python 3 GUI Programming
Further Python 3 Extensions and Libraries
Learn Python Django
Django 2.0 Development Overview
Django Environment Setup
Creating our first Project
Apps Life Cycle
Learn Django Admin Interface
Creating Views
Learn Django URL Mapping
Learn Django Template System
Django Models
Learn Django Page:ย Redirection
Django Sending E-mails
Learn Django Generic Views
Learn Django Form Processing
Learn Django File Uploading
Apache Setup
Cookies Handling
Django Sessions
Learn Django Caching
Learn Django Comments
Django RSS
Learn Django AJAX
Learn Python Flask
Flask Programming Overview
Flask Environment
Flask Application
Learn Flask Routing
Variable Rules
Learn Flask URL Building
Learn Flask HTTP Methods
Learn Flask Templates
Learn Flask Static Files
Request Object
Learn Flask Cookies
Flask Sessions
Learn Flask Redirect & Errors
Message Flashing
Learn Flask File Uploading
Learn Flask Extensions
Flask Mail
Flask WTF
Learn Flask SQLite
Learn Flask SQLAlchemy
Learn Python Machine Learning
Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.
Artificial Intelligence
Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans. This Python Artificial Intelligence tutorial covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms and more.
Learn Python Deep Learning
Python is a general-purpose high-level programming language that is widely used in data science and for producing deep learning algorithms. This Python Deep Learning tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras.
Learn Python Blockchain
Blockchain is the current buzz that is dominating the software development trends. The development and designing of Blockchain involve three major components: client, miner, and blockchain. This Python Blockchain tutorial is aimed to give you a crisp understanding of the process of building your own blockchain.
Learn Python CherryPy
CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. This results in smaller source code developed in less time. It is being used in many production websites.
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Whatโs New:
โ Added Python Data Science Guide
โ Added Pytorch Guide
โ Updated Guides
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