• All About Python
  • 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
• Python Installation and Environment Setup
  • 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
• Writing first program in python
  • 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
• Syntax of python
  • Python coding Style
  • Indentation
  • Comments in python
  • Snake style coding
  • Keywords in python
  • Built-in functions in python
• Data type and Data Structures
  • Numbers
  • Strings
  • List
  • Dictionary
  • Tuples
  • Sets
  • Frozen Sets
  • Type Casting
• Advance Containers from collection module
  • Queues
  • Ordered Dictionary
  • Named Tuple
  • Default Dictionary
  • Counter
  • ChainMap
  • UserDict
• Control Statements
  • Flow diagrams
  • If – else
  • Nested if else
• Looping in Python
  • For Loop
  • While Loop
  • Break
  • Continue
  • Else with loop
• Functions in Python
  • 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
• Advance Functions in Python
  • Lambda anonymous function
  • Map function
  • Reduce function
  • Filter function
  • Lazy Evaluation
• Closures and Decorators in Python
  • Memorization using closures
  • Writing extensible functions using Decorators
  • Decorators to implement oops like functionality to functions
• OOPS
  • 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
• Advance OOPS
  • Name Mangling in OOPs
  • MRO (Method Resolution Order)
  • Meta Classes
  • Slots
  • Properties
  • Class methods
  • Static methods
• Implementation of Data Structures in Python
  • Implementing Stack
  • Implementing Queue
  • Implementing Link-List
• Generators & Iterators in Python
  • Memory Optimization Techniques
  • Lazy Evaluation
  • Custom Generators & Decorators
  • Zip like generator objects and their working
• Exception Handling
  • 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
• File Handling
  • 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
• Data Serialization
  • 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
• Installing Third Party Modules in Python
  • 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
• Database Connectivity
  • 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
• Python Installation and Environment Setup
  • 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
• Modules and Packages in Python
  • 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
• Standard Library in Python
  • 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
• Graphical User Interface using Tk
  • 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
• Virtual Environment
  • 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
• Django Web Framework of Python 
  • Installing and setting up a Django virtual environment
  • Creating a Django Project
  • Django Components
  • MVC architecture (Model, View, Controller)
  • Creating Django Views
  • Designing Django Templates using Jinja2 templating, html, css, js and static files
  • Configuring URL conf’s
  • Django Forms
  • Django and REST APIs
  • Data Base Models
  • User Logins and Django Admin Panel
  • Accessing Controls with Sessions and Users
  • Generic Class Based views in Django
  • Email Functionality for Django
  • OTP verification in Django
  • Deploying Django Application on Cloud & Linux servers

Core Python Project Highlights

Seldom provides you Project Based Learning in which students gain knowledge and skills by working for an extended period of time to investigate and respond to an authentic, engaging and complex question, problem, or challenge. You will learn how to create projects, expert faculty help you in improving your coding and trained you to present your knowledge and projects.

• Database Implementation – This is a huge and logical project where we have to make our own database using python files, OS modules, String Functions and Re-Modules plus using Multi-threading and all most all concepts of python.
• A Daily Shop Product Enquiry Application – In this application we will make a application which will keep track of all day sale and left stock in a daily shop. Almost every retailer using this type of application so it will be fun to making such a application.
• Graphical Chat Application – This is interesting isn’t it? In this project we will make whatsapp. Like GUI Chat application where in chatroom box 2 or more people can chat with each other as well as can share files.
• Mailing Application (Mail Bombing, Automated Mail service) – In this project we will make email applications to automate mail sending and also we can make a mail bombing application to attack someone’s mail account.
•  Download Manager – In this project we will make a download manager which will be able to download almost any type of data directly and speedily using urllib module.
• Map Application – This application will give description about the place which will be given as input.
• Calculator – GUI calculator is an application to perform calculation. This will be done by tkinter module.
• A Django Based Dynamic Web-site – This is totally your project where you will be making a real time web-site based on your idea using Django module.
• Polling and Blog Website – These websites are powered by Django module and have very advanced web-designing.
• Port Scanner – Enter a IP address and a port range where the program will then attempt to find open ports on the given computer by connecting to each of them. On any successful connections mark the port as open.

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