Here is the list of everything I have learned and from what sources I have learned

Book - Learning Python (5th Edition) by Mark Lutz

1. A Python Q&A Session
2. How Python Runs Programs
3. How You Run Programs
4. Introducing Python Object Types
5. Numeric Types
6. The Dynamic Typing Interlude
7. String Fundamentals
8. Lists and Dictionaries
9. Tuples, Files and Everything Else
10. Introducing Python Statements
11. Assignments, Expressions, and Prints
12. if Tests and Syntax Rules
13. while and for Loops
14. Iterations and Comprehensions
15. The Documentation Interlude

Book - Python for Data Analysis (2nd Edition) by Wes Mckinney

1. Preliminaries
2. Python Language Basics, IPython, and Jupyter Notebooks
3. Built-in Data Structures, Functions, and Files
4. NumPy Basics: Arrays and Vectorized Computation
5. Getting Started with pandas
6. Data Loading, Storage, and File Formats
7. Data Cleaning and Preparation
8. Data Wrangling: Join, Combine, and Reshape
9. Plotting and Visualization
10. Data Aggregation and Group Operations
11. Time Series