Days 28 through 33 - eBook: Python for Data Analysis

Dec 16 2024 - Chapters 0-3 Preface, Python Language Basics, Jupyter Notebooks, Built-in Datastructures

• https://wesmckinney.com/book/python-builtin - Chapters 0-3 - Preliminaries, Python Language Basics, Jupyter Notebooks, Built-in Data Structures
• Installing Miniconda
• Install Jupyter locally
  • cd ~/miniconda
  • jupyter notebook
    • http://localhost:8888/tree

Dec 17 2024 - Chapters 4 and 5 - Numpy Basics (Arrays Vectors), and Pandas

• Chapters 4 and 5 - NumPy Basics: Arrays and Vectorized Computation, and Getting Started with pandas

Dec 18, 2024 - Chapter 6 - Data Loading, Storage, and File Formats

• Chapter 6 - Data Loading, Storage, and File Formats

Dec 19, 2024 - Chapter 7 - Data Cleaning and Preparation (also with LiQUiD Data)

• Chapter 7 - Data Cleaning and Preparation
• LiQUiD data discovery notebook - http://localhost:8888/notebooks/LiQUiD_Data%20Discovery.ipynb

Chapter 8 - Data Mash: Join, Combine, Reshape, Pivot

• Data Wrangling - Join, Combine, Reshape, Pivot, Melt

Dec 21, 2024 - Chapter 9 - Plotting and Visualization

• Chapter 9 - Plotting and Visualization
  • https://matplotlib.org/

Dec 25, 2024

Chapter 10 Data Aggregations and Group Operations

3Blue1Brown * 3Blue1Brown But What is a Neural Network? – see to the end (sigmoid vs ReLU)

• Answer.ai and Fast.ai
  • https://www.answer.ai/posts/2024-05-17-more-better.html