Introduction to Python

I’ve just completed the Introduction to Python course on DataCamp—a beginner-friendly dive into one of the most popular programming languages today. Over the course of 4 hours, including 11 videos and 46 hands-on exercises, I built a strong foundational understanding of Python for data science and general programming.

🐍 DataCamp: Introduction to Python

I’ve just completed an engaging course on Introduction to Python, building a solid foundation in programming and core Python concepts.

🧠 Key Concepts Covered:

1. Variables & Data Types
   Learned how to declare and use variables, along with understanding core data types like integers, floats, strings, and booleans.

2. Lists and Their Manipulation
   • Created and manipulated Python lists
   • Practiced subsetting, slicing, and dicing
   • Performed operations like appending, updating, and removing elements
3. Functions & Methods
   • Wrote basic Python functions
   • Differentiated between functions, methods, and attributes
   • Explored built-in methods associated with various data types

4. Working with Packages
   Discovered how to import and use external Python packages to extend functionality.

5. Introduction to NumPy
   • Created and worked with 1D and 2D NumPy arrays
   • Performed mathematical operations and basic statistical analysis
   • Understood the difference between mean and median

This course was a great stepping stone in my Python journey, equipping me with the essential skills to explore data-driven projects and more advanced topics with confidence.