Module 1: Python Introduction and Setting up the Environment
Choosing Python
There are many programming languages (Java, C++, JavaScript, Python…). Python is a strong first language, especially if you plan to work in data science.
About 6 minutes
Why Python?
Python reads almost like English. Compare: in some languages you need many symbols just to print text. In Python you write print("Hi") — short and friendly.
Python basics
You are here!
Libraries
NumPy, Pandas…
Charts
Matplotlib, Seaborn
Data Science
Analyze real data
- Readable syntax that stays close to natural language.
- Huge community — millions of tutorials and answers online.
- Used in data science, AI, web apps, automation, and more.
- This course path leads you toward NumPy, Pandas, and visualization later.
Example code
# This is Python — notice how clean it looks
print("Python is my friend")
print(2 + 2) # Math works too!Practice
Run the code above, then change the message to your name!
Key takeaways
- Python is widely used in data science and general software development.
- This course builds foundations first, then data libraries later.
- Readable code helps you learn faster.
Quick check: Choosing Python
Question 1 of 2
Why is Python often recommended as a first language?