Getting Started

These sections describe how to get started with Data Analysis in Python.

• Statistics and Data Science in Python
• 📚 Python for Data Analysis
  • Python for Data Analysis
  • Getting Started
    • Python for Data 1: Getting Started
    • Python for Data 2: Python Arithmetic
    • Python for Data 3: Basic Data Types
  • Data Structures
    • Python for Data 4: Variables
    • Python for Data 5: Lists
    • Python for Data 6: Tuples and Strings
    • Python for Data 7: Dictionaries and Sets
    • Python for Data 8: Numpy Arrays
    • 图解 numpy 与数据表示法
    • Python for Data 9: Pandas DataFrames
    • Pandas DataFrames Practice
    • Python for Data 10: Reading and Writing Data
  • Programming Constructs
    • Python for Data 11: Control Flow
    • Python for Data 12: Functions
    • Python for Data 13: List Comprehensions
  • Data Structures
    • Python for Data 14: Data Exploration and Cleaning
    • Python for Data 15: Working With Text Data
    • Python for Data 16: Preparing Numeric Data
    • Python 常用速查手册（Cheat Sheet） -WIP
• 📚 Statistics For Business and Economics
  • Statistics_For_Business_and_Economics_13th_Edition
• 📚 Machine Learning by Doing
  • Machine Learning by Doing
  • 目录
  • 1. 机器学习综述及示例
  • 2. 线性回归实现与应用
  • 3. 北京市住房价格预测
  • 4. 多项式回归实现与应用
  • 5. 比特币价格预测及绘图
  • 6. 岭回归和 LASSO 回归实现
  • 7. 使用矩阵计算岭回归系数
  • 8. 回归模型评价与检验
  • 9. 回归方法综合应用练习
• 🧭 Topic Guides
  • Markdown Files
  • Content with notebooks
  • Notebooks with MyST Markdown