Untitled page

Introduction to Python

Install Python and set up the environment, Introduction to Python syntax and basic commands, Variables and data types, Basic I/O operations

Control Structures

Conditional statements (if, elif, else), Loops (for, while), List comprehensions

7

Practice Day

Solve basic problems on control structures and data types

Data Structures

Lists, tuples, sets, and dictionaries, Operations on data structures, Nested data structures

Functions

Defining and calling functions, Function arguments and return values, Lambda functions and map, filter, reduce

13-14

Practice Day

Create and manipulate complex data structures, Write functions for various tasks

15-17

Object-Oriented Programming (OOP)

Classes and objects, Attributes and methods, Inheritance and polymorphism

18-19

Error Handling

Try, except, finally, Custom exceptions

20-21

File Handling

Reading from and writing to files, Working with different file types (text, CSV)

22-23

Modules and Packages

Importing modules, Creating and using packages

24-26

Standard Libraries

datetime for date and time operations, os and sys for interacting with the operating system, math and random for mathematical operations

27-28

Practice Day

Build small projects using standard libraries

29-31

Introduction to Databases

SQL basics, Setting up SQLite, CRUD operations in SQL

32-34

Connecting Python with Databases

Using sqlite3 library in Python, Executing SQL queries from Python, Handling database connections and cursors

35

Practice Day

Create a small project with SQLite database integration

36-37

NumPy

Creating arrays, Array operations, Basic statistical functions

38-39

Pandas

DataFrames and Series, Reading and writing data, Data manipulation and analysis

40-41

Matplotlib and Seaborn

Plotting basic graphs with Matplotlib, Advanced visualizations with Seaborn

42

Practice Day

Data analysis project using NumPy, Pandas, Matplotlib, and Seaborn

43

Web Scraping with BeautifulSoup

Fetching web pages, Parsing HTML, Extracting data

44

API Integration with Requests

Making API requests, Handling responses, Working with JSON data

45

Final Project

Combine all learned concepts into a comprehensive project: Example project - Build a data analysis tool that fetches data from an API, stores it in a database, analyzes it using Pandas, and visualizes the results with Matplotlib