Python is one of the most popular programming languages in the world and has become the standard language for data science. Its simple syntax and extensive ecosystem make it ideal for analyzing data, automating tasks, and building machine learning solutions.
In data science, Python is commonly used alongside libraries such as:
- NumPy
- Pandas
- Matplotlib
- Scikit-Learn
A Python program is built using variables, functions, and control structures.
Example:
name = "Sami"
print(name)This creates a variable and prints its value. Python’s readability allows analysts to focus on solving problems rather than dealing with complicated syntax.
By mastering the basics, you’ll build a foundation for all future data science work.
