Python For Data Science

• 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 Pyhton , 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