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45-Day Python Course Roadmap: From Basics to Database Connectivity and Libraries
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45-day Python course roadmap
Week
Day
Topic
Subtopics
Week
Day
Topic
Subtopics
1
Week 1
1-3
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
2
4-6
Control Structures
Conditional statements (if, elif, else), Loops (for, while), List comprehensions
3
7
Practice Day
Solve basic problems on control structures and data types
4
Week 2
8-10
Data Structures
Lists, tuples, sets, and dictionaries, Operations on data structures, Nested data structures
5
11-12
Functions
Defining and calling functions, Function arguments and return values, Lambda functions and map, filter, reduce
6
13-14
Practice Day
Create and manipulate complex data structures, Write functions for various tasks
7
Week 3
15-17
Object-Oriented Programming (OOP)
Classes and objects, Attributes and methods, Inheritance and polymorphism
8
18-19
Error Handling
Try, except, finally, Custom exceptions
9
20-21
File Handling
Reading from and writing to files, Working with different file types (text, CSV)
10
Week 4
22-23
Modules and Packages
Importing modules, Creating and using packages
11
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
12
27-28
Practice Day
Build small projects using standard libraries
13
Week 5
29-31
Introduction to Databases
SQL basics, Setting up SQLite, CRUD operations in SQL
14
32-34
Connecting Python with Databases
Using sqlite3 library in Python, Executing SQL queries from Python, Handling database connections and cursors
15
35
Practice Day
Create a small project with SQLite database integration
16
Week 6
36-37
NumPy
Creating arrays, Array operations, Basic statistical functions
17
38-39
Pandas
DataFrames and Series, Reading and writing data, Data manipulation and analysis
18
40-41
Matplotlib and Seaborn
Plotting basic graphs with Matplotlib, Advanced visualizations with Seaborn
19
42
Practice Day
Data analysis project using NumPy, Pandas, Matplotlib, and Seaborn
20
Week 7
43
Web Scraping with BeautifulSoup
Fetching web pages, Parsing HTML, Extracting data
21
44
API Integration with Requests
Making API requests, Handling responses, Working with JSON data
22
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
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