The document outlines a 40-hour Python course designed by Ragavi, structured into eight modules covering topics from basic Python concepts to advanced applications such as machine learning, MySQL, and MongoDB. Each module details specific subjects including file handling, NumPy, SciPy, and various Python features and best practices. The course aims to provide a comprehensive understanding of Python programming and its practical uses.

1. PYTHON COURSE
Within 40 Hrs with RAGAVI

2. COURSE STRUCTURE

3. Complete Python in 8 Modules :
1. Basic Python
2. File Handling in Python
3. Python NumPy
4. Python SciPy
5. Machine Learning with Python
6. Python MySQL
7. Python MongoDB
8. Python Reference

4. MODULE 1: BASIC PYTHON
Part 1:
● Python Setup
● Python Syntax
● Python Comments
● Python Variables
● Python Data Type
● Python Numbers
● Python Casting

5. Part 2:
● Python Strings
● Python Booleans
● Python Operators
● Python Lists
● Python Tuples
● Python Sets
● Python Dictionaries

6. Part 3:
● Python If...Else
● Python While Loops
● Python For Loops
Part 4:
● Python Functions
● Python Lambda
● Python Arrays
● Python Classes/Objects

7. ● Python Inheritance
● Python Iterators
● Python Scope
● Python Modules
● Python Dates
● Python Math
Part 5:
● Python JSON
● Python RegEx
● Python PIP
● Python Try...Except
● Python User Input
● Python String Formatting

8. MODULE 2: FILE HANDLING
● Python File Handling
● Python Read Files
● Python Write/Create Files
● Python Delete Files

9. MODULE 3: PYTHON NumPy
Part 1:
● NumPy introduction
● NumPy Setup
● NumPy Creating Arrays
● NumPy Array Indexing
● NumPy Array Slicing
● NumPy Data Types
● NumPy Copy vs View
● NumPy Shape
● NumPy Reshape

10. Part 2:
● NumPy Array Iterating
● NumPy Array Join
● NumPy Array Split
● NumPy Array Search
● NumPy Array Sort
● NumPy Array Filter
● NumPy Random
● NumPy ufunc

11. MODULE 4: PYTHON SciPy
Part 1:
● SciPy Introduction
● SciPy Setup
● SciPy Constants
● SciPy Optimizers
● SciPy Sparse Data

12. Part 2:
● SciPy Graphs
● SciPy Spatial Data
● SciPy Matlab Arrays
● SciPy Interpolation
● SciPy Significance Tests

13. MODULE 5: MACHINE LEARNING
Part 1:
● Where to Start Machine Learning
● Mean Median Mode
● Standard Deviation
● Percentile

14. Part 2:
● Data Distribution
● Normal Data Distribution
● Scatter Plot
Part 3:
● Linear Regression
● Polynomial Regression
● Multiple Regression

15. Part 4:
● Scale
● Train/Tests
● Decision Tree

16. MODULE 6: PYTHON MySQL
● MySQL Setup
● MySQL Create Database
● MySQL Create Table
● MySQL Insert
● MySQL Select
● MySQL Where
● MySQL Order By
● MySQL Delete
● MySQL Drop Table
● MySQL Update
● MySQL Limit
● MySQL Join

17. MODULE 7: PYTHON MONGODB
● MongoDB Setup
● MongoDB Create Database
● MongoDB Create Collection
● MongoDB Insert
● MongoDB Find
● MongoDB Query
● MongoDB Sort
● MongoDB Delete
● MongoDB Drop Collection
● MongoDB Update
● MongoDB Limit

18. MODULE 8: PYTHON REFERENCE
Part 1:
● Python Overview
● Python Built-in Functions
● Python String Methods
● Python List Methods
● Python Dictionary Methods

19. Part 2:
● Python Tuple Methods
● Python Set Methods
● Python File Methods
● Python Keywords
● Python Exceptions
● Python Glossary

20. HAVE A NICE DAY!!