• Origin
• History
• scope of python
• popularity of python
• future of python
• use of python in different emerging technologies of modern era
• achievements of python
• mega projects hosted in python

• Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc
• Development Environment and it’s Requirements
• Installation on windows
• Installation on linux
• Installation on mac
• Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim

• Using vim and command line creating first hello program in python
• Using vscode or PyCharm for Integrated Development Environments
• Using Jupyter Notebook and it’s features for fast, simple learning process

• Python coding Style
• Indentation
• Comments in python
• Snake style coding
• Keywords in python
• Built-in functions in python

• Numbers
• Strings
• List
• Dictionary
• Tuples
• Sets
• Frozen Sets
• Type Casting

• Queues
• Ordered Dictionary
• Named Tuple
• Default Dictionary
• Counter
• ChainMap
• UserDict

• Flow diagrams
• If – else
• Nested if else

• For Loop
• While Loop
• Break
• Continue
• Else with loop

• Built-in Functions zip, enumerate, eval, exec, min, max, ord, chr, sorted, reversed, len, sum, power, divmod etc.
• Defining Custom Functions
• Function Calling
• Scope Resolution global, local, nonlocal scope
• Code Reusability
• Recursion

• Lambda anonymous function
• Map function
• Reduce function
• Filter function
• Lazy Evaluation

• Memorization using closures
• Writing extensible functions using Decorators
• Decorators to implement oops like functionality to functions

• Encapsulation
• Abstraction
• Data hiding
• Data Security
• Access Control
• Inheritance
• Polymorphism
• Overriding
• Operator Overloading
• Classes
• Objects
• Implementing Data Structures using OOPs
• Message Passing and Share Space in OOPs

• Name Mangling in OOPs
• MRO (Method Resolution Order)
• Meta Classes
• Slots
• Properties
• Class methods
• Static methods

• Implementing Stack
• Implementing Queue
• Implementing Link-List

• Memory Optimization Techniques
• Lazy Evaluation
• Custom Generators & Decorators
• Zip like generator objects and their working

• Exceptions and Errors
• Built in Exceptions
• Handling Exceptions
• else keyword with exception
• finally, keyword to define Clean Up Actions
• Custom Exception using raise keyword
• assert keyword for assertions
• Creating Custom Exception Class

• Type of file formats and their significance
• File Creation and writing data to files
• Reading data from a file
• Overwriting files
• Dealing with excel sheets, csv files
• Making data persistent to create real life projects

• Serialization and De-Serialization
• Serializing python objects using pickle, json and shelve modules
• Deserializing Object State to read data from byte file or from network
• Storing Custom Objects to make state machines

• Pip (Python Package Installer)
• Installing packages and modules using pip
• pypi (python package index) repository for package lookup
• Offline installation of a package using pip

• Concept of Data Base Management Systems
• Using sqlite3 to store lite data in database like format
• CURD (Create, Update, Read, Delete) Operation on sql table
• Connecting python to a MariaDB or MySQL server using pymysql or mysql-client modules
• Un-Structure Data Base Management systems like MongoDB

• Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc
• Development Environment and it’s Requirements
• Installation on windows
• Installation on linux
• Installation on mac
• Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim

• Module name space
• If __name__ == “__main__” in Python
• Defining Custom Modules
• Creating Packages in Python
• Testing Packages
• Importing and using custom packages
• Adding custom modules to library

• Os and Sys Module to interact with Operating System
• Shutil Module to copy, paste and delete files
• Subprocess Module to execute commands&their output
• Zlib for data compression
• Time& Datetime Module fortime management

• GUI basics
• Widgets like button, label, frame, canvas, radio buttons
• Check Buttons, dropdown menus, scroll bars
• Progress Bars, message box, text box, entry widget etc
• Geometry Managers like place, grid, and pack
• Dialog box, top level window implementation

• What is Virtual Environment
• Difference between Production and Development Environment
• Package versions and their importance in projects
• Creating a separate environment for Python Projects
• Activating Virtual Environment
• Installing Different Version of packages in different environments
• txt file
• README file

• Application Programming Interfaces
• Accessing Google place APIs
• AccessingFacebook Graph API
• Weather API& Others

• Self-Paced through video

• Installation and Configuration of Flask
• Hello World to web using Flask
• Templates
• Jinja2 Template Rendering (Include and Extending)
• Handling GET and POST requests in Flask
• Integrating HTML, CSS, Flask together
• Web Forms
• Cookies and Sessions in Flask
• Database in Flask

• Data Science & Machine Learning Pipeline
• Stats& Probability
• Numpy, Pandas, Matplotlib
• Machine Learning Implementation

• Image Processing
• OpenCv Module
• Face detection

Core Python Projects

• Guesses Game – In these simple projects you will learn how to play with random numbers and basic idea of making a game. This projects also includes many small projects similar to this as Rock Paper scissor Game, Dice Rolling Simulator.
• Tic Tac Toe – implementing Tic-Tac-Toe game in python using functions, loops, arrays, standard library to practice all those by implementing in this project.
• Bank Application – This is a very interesting project which you will be creating by yourself in background while training. With each topic you will modify your project. This is a Bank Application in which you can perform certain tasks such as opening an account, Crediting and Debuting to account, adding account and managing database to handle persistent data.
• Text Editor &nda