Dynamic Programming Notes 💡

30-day roadmap to learn Python up to an intermediate level

Week 1: Python Basics
*Day 1-2:*
- Learn about Python, its syntax, and how to install Python on your computer.
- Write your first "Hello, World!" program.
- Understand variables and data types (integers, floats, strings).

*Day 3-4:*
- Explore basic operations (arithmetic, string concatenation).
- Learn about user input and how to use the input() function.
- Practice creating and using variables.

*Day 5-7:*
- Dive into control flow with if statements, else statements, and loops (for and while).
- Work on simple programs that involve conditions and loops.

Week 2: Functions and Modules
*Day 8-9:*
- Study functions and how to define your own functions using def.
- Learn about function arguments and return values.

*Day 10-12:*
- Explore built-in functions and libraries (e.g., len(), random, math).
- Understand how to import modules and use their functions.

*Day 13-14:*
- Practice writing functions for common tasks.
- Create a small project that utilizes functions and modules.

Week 3: Data Structures
*Day 15-17:*
- Learn about lists and their operations (slicing, appending, removing).
- Understand how to work with lists of different data types.

*Day 18-19:*
- Study dictionaries and their key-value pairs.
- Practice manipulating dictionary data.

*Day 20-21:*
- Explore tuples and sets.
- Understand when and how to use each data structure.

Week 4: Intermediate Topics
*Day 22-23:*
- Study file handling and how to read/write files in Python.
- Work on projects involving file operations.

*Day 24-26:*
- Learn about exceptions and error handling.
- Explore object-oriented programming (classes and objects).

*Day 27-28:*
- Dive into more advanced topics like list comprehensions and generators.
- Study Python's built-in libraries for web development (e.g., requests).

*Day 29-30:*
- Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development).
- Work on a more complex project that combines your knowledge from the past weeks.

Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests.

Best Programming Resources: https://topmate.io/coding/886839

ENJOY LEARNING 👍👍

Mastering Time Series Analysis and Forecasting with Python
Sulekha Aloorravi, 2024

🖥 Top Programming Languages to learn in 2025 - [Part 1] 🖥


1. JavaScript
- learnjavascript.online
- t.iss.one/javascript_courses/4
- learn-js.org

2. Java
- learnjavaonline.org
- javatpoint.com

3. C#
- learncs.org
- w3schools.com

4. TypeScript
- Typescriptlang.org
- learntypescript.dev

5. Rust
- rust-lang.org
- t.iss.one/crackingthecodinginterview/724
- exercism.org

🖥 Top Programming Languages to learn in 2025 - [Part 2] 🖥


6. Go PRogramming
- go.dev
- learn-golang.org

7. Kotlin
- kotlinlang.org
- w3schools.com/KOTLIN

8. Python
- learnpython.org
- t.iss.one/pythonanalyst

9. SQL
- learnsql.com
- t.iss.one/sqlanalyst

10. R Programming
- w3schools.com/r/
- r-coder.com