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Before this lesson , we recommend you go through

• Official Pandas Documentation
• Quick Intro to Pandas
• Official Matplotlib Documentation

After this lesson, you'll be able to

• Understand the need for Pandas in Data Science
• Use Pandas for Data Manipulation
• Explore different libraries for data visualization in Python
• Use Matplotlib for data visualisations

• Motivation for Pandas in Python & Data Science
• Features of Pandas
• Dataframes in Pandas
• Data Visualization with Matplotlib
• Hands On Code along with the Instructor
• Code sprint on Assignments

• Python Programming Advanced

• Pandas
• Matplotlib

• [Assignment 1]
• [Assignment 2]
• [Assignment 3]
• [Assignment 4]
• [Assignment 5]
• [Assignment 6]

• Practice Pandas on Data Camp
• Practice matplotlib on Data Camp
• Python Best practices
• Anti-Patterns in Python Programming
• Python tends to outperform R, and using numba can speed Python up even more
• There are a ton of public notebooks - just have fun exploring the IPython Notebook Viewer