Python is a high-level, dynamically typed programming language known for its readability and versatility.

Created by Guido van Rossum in 1991, Python is designed to be easy to understand and write. Its syntax emphasizes code readability through the use of indentation rather than traditional braces or keywords.

A distinctive feature of Python is its extensive standard library, which includes modules and packages for various purposes, such as web development, data analysis, machine learning, and more. Python is dynamically typed, allowing developers to create and modify variables without explicitly specifying their data types.

Being an interpreted language, Python facilitates testing and debugging as code is executed line by line. Python is platform-independent, meaning that code can run on different operating systems without modification. The language is widely used across different domains, from web development with frameworks like Django and Flask to scientific computing with libraries like NumPy and Pandas.

Python’s community support is significant, with a large and active developer community contributing to its growth. The language is open-source, allowing for free modification and distribution of its source code. Python’s simplicity and versatility contribute to its popularity in educational and professional settings for various applications.

Core and Advanced Python is a high-level, interpreted, interactive and OOPS language. Python was designed to be highly readable, uses English keywords frequently whereas other languages use punctuation and it has fewer syntactical constructions than other languages. Course is being designed for software programmer with a need to understand Python programming and frameworks.

Introduction to Python Programming

History and Background
Comparison with other Programming Languages
Installation and Environment Setup

- Working in IDLE and CMD
- Working in VS-Code
- Working in Jupyter Notebook (Anaconda)
- Working in Google Colaboratory (with Google Drive)

Writing your First Python Program

Core Programming Fundamentals

Displaying a Message
Datatypes and Variables
String Operations
- Concatenation
- Using title(), upper(), lower(), lstrip(), rstrip(), strip()
Arithmetic Operations
- Add, Subtract, Multiply, Divide, Modulus
- Using ** and //
- Using Math Functions [import math] : sqrt(), factorial(), pow(), pi

Conditional Statements with Relational and Logical Operators

- If… Else
- If… Elif… Else
- Nested if… Else

Loops and Ranges

- While loop
- range() and for loop
- Creating Patterns
- Using break, continue and pass statements

Basic Data Structures
1. List using [ ]

- - Using append(), extend(), insert(), remove(), pop(), clear(), index(), count(), sort(), reverse(), copy(), len(), max(), min(), range()

1. Slicing a List using [_:_:_] notation
2. Tuples using ( )

1. Dictionary using { key : value }

- - Using clear(), copy(), fromkeys(), get(), items(), keys(), popitem(), setdefault(), pop(), len(), del

1. Set using { }

- - Using add(), remove(), discard(), union(), intersection(), isdisjoint(), difference()

Comprehension

- List Comprehension
- Dictionary Comprehension
- Set Comprehension

Working with Strings

- String representation and structure
- String input and output
- String Slicing
- String Functions

1. 1. Using len(), str(), upper(), lower(), format(), find(), replace()
  2. Using in and not in operators

Functions

- Definition and Types of Function
- Working with Global and Local Variables
- Anonymous Function

1. 1. Lambda
  2. Filter, map, reduce

- Recursive Function
- Using *args and **kwargs
- Generators

Modules and Packages

- Introduction to Modules
- Importing a module
- Working with math and os modules
- Working with datetime module

1. 1. Using now(), today()

- Introduction to Packages
- Working with packages

Exception Handling

- Definition and Example of Exception
- Using try and except block
- Using raise keyword
- Using finally block
- Using try with else block

File Handling

- Definition
- Opening and Closing a File
- Writing and Reading a File
- File Methods

Object Oriented Programming

- Definition
- Classes and Objects
- Encapsulation
- Inheritance
- Polymorphism

Regular expressions

- Introduction to CFG
- Match Function
- Search Function
- Matching VS Searching
- Patterns

Multithreading

- Introduction
- Life Cycle of a Thread
- Working with threads and its methods
- Thread Synchronization
- Multithreaded Priority

Database Connectivity

- Introduction & Connecting to MySQL Database
- Working with Cursor
- Performing SELECT and INSERT Operation
- Performing DELETE and UPDATE Operation

Graphical User Interface (GUI)

- Introduction to tkinter module
- Creating forms and working with Widgets
- Working with Command Buttons
- CRUDS Application

Networking

- Socket
- Socket Module
- Client and server
- Internet Modules
- Complete chat server

Working with numpy module

- Introduction to Numpy Arrays
- Using zeros(), ones(), reshape(), hstack(), vstack(), asarray(), arange(), linspace() and logspace()
- Indexing and Slicing of Arrays
- Matrix Operations

Working with pandas module

- Introduction to Pandas Series and DataFrames
- Read Dataset from CSV File
- Selecting Rows and Columns
- Indexing and Slicing
- Using loc and iloc
- Sorting, Grouping and Aggregation

Data Visualization using MatPlotLib

- Introduction to Matplotlib and pyPlot API
- Creating Line graph, Scatter Graph, Bar Chart, Pie Chart and Histogram
- Parts of a Plot – Labels, Legends and Ticks

Web Development using Django

Understanding the Web Development Architecture
Architecture of Django
Getting started with a Django Project
Working on Admin Panel
Working with URLs and Patterns
Working on Templates and Static Files
Django Web Project

Python