Python is a popular choice for data science due to its simplicity, readability, and ease of use. It has a wide range of libraries and frameworks that make it easy to perform data analysis, visualization, and machine learning tasks.
Some of the popular libraries and frameworks for data science in Python are Numpy, Pandas, Matplotlib.
Learn more about Python in following chapters
1. Lesson 1 - Introduction To Python , Python Data Types
2. Lesson 2 - Control Structures in Python
3. Lesson 3 - NumPy
3.1 Numpy Arrays
3.2 Numpy Indexing and Selection
3.3 Numpy Operations
4. Lesson 4 - Pandas
4.1 Series in Pandas
4.2 Data Frames in Pandas
4.3 Handling Missing Data with Pandas
4.4 Operations in Pandas
5. Lesson 5 - Exploratory Data Analysis with Python