Coursera 笔记

IBM

Python for Data Science, AI & Development

面向数据科学、AI 与开发的 Python

36 notes · 18 images · 19/61 条官方条目有笔记 · certified

Coursera ↗

Module 01

Python Basics Python 基础

21 篇
  1. 01Course Introduction课程介绍
  2. 02About this course关于本课程
  3. 03Course Overview课程概述
  4. 04Introduction to PythonPython 入门
  5. 05Introduction to JupyterJupyter 简介
  6. 06Getting Started with JupyterJupyter 入门
  7. 07Hands-on Lab: Write Your First Program动手实验:编写第一个程序
  8. 08TypesPython 数据类型
  9. 09Hands-on Lab: Types动手实验:数据类型
  10. 10Practice Quiz: Types练习测验:数据类型
  11. 11Expressions and Variables表达式与变量
  12. 12Hands-on Lab: Expression and Variables动手实验:表达式与变量
  13. 13Practice Quiz: Expressions and Variables练习测验:表达式与变量
  14. 14String OperationsPython 字符串操作
  15. 15(Optional) Reading: Format Strings in Python(可选)阅读:Python 字符串格式化
  16. 16Hands-On Lab: String Operations动手实验:字符串操作
  17. 17Practice Quiz: String Operations练习测验:字符串操作
  18. 18Module 1 Summary: Python Basics模块 1 总结:Python 基础
  19. 19Cheat Sheet: Python BasicsPython 基础速查表
  20. 20Module 1 Graded Quiz: Python Basics模块 1 评分测验:Python 基础
  21. 21Module 1 Glossary: Python Basics模块 1 术语表:Python 基础
Module 02

Python Data Structures Python 数据结构

15 篇
  1. 01Lists and TuplesPython 列表与元组
  2. 02Hands-On Lab: Lists动手实验:列表
  3. 03Hands-On Lab: Tuples动手实验:元组
  4. 04Cheat Sheet: Lists and Tuples列表与元组速查表
  5. 05Practice Quiz: Lists and Tuples练习测验:列表与元组
  6. 06DictionariesPython 字典
  7. 07Hands-On Lab: Dictionaries动手实验:字典
  8. 08Practice Quiz: Dictionaries练习测验:字典
  9. 09SetsPython 集合
  10. 10Hands-On Lab: Sets动手实验:集合
  11. 11Practice Quiz: Sets练习测验:集合
  12. 12Module 2 Summary: Python Data Structures模块 2 总结:Python 数据结构
  13. 13CheatSheet: Dictionaries & Sets字典与集合速查表
  14. 14Module 2 Graded Quiz: Python Data Structures模块 2 评分测验:Python 数据结构
  15. 15Module 2 Glossary: Python Data Structures模块 2 术语表:Python 数据结构
Module 03

Python Programming Fundamentals

0 / 13 篇
  1. 01Conditions and Branching
  2. 02Conditions and Branching
  3. 03Loops
  4. 04Introduction to Loops in Python
  5. 05Functions
  6. 06Exploring Python Functions
  7. 07Exception Handling
  8. 08Exception Handling
  9. 09Objects and Classes
  10. 10Objects and Classes
  11. 11Module 3 Summary: Python Programming Fundamentals
  12. 12Cheat Sheet: Python Programming Fundamentals
  13. 13Module 3 Glossary: Python Programming Fundamentals
Module 04

Working with Data in Python

0 / 14 篇
  1. 01Reading Files with Open
  2. 02Reading Files with Open
  3. 03Writing Files with Open
  4. 04Writing Files with Open
  5. 05Pandas: Loading Data
  6. 06Pandas: Working with and Saving Data
  7. 07Pandas
  8. 08One Dimensional Numpy
  9. 09Matrix Mathematics
  10. 10Two Dimensional Numpy
  11. 11Beginner's Guide to NumPy
  12. 12Module 4 Summary: Working with Data in Python
  13. 13Cheat Sheet: Working with Data in Python
  14. 14Module 4 Glossary: Working with Data in Python
Module 05

APIs and Data Collection

0 / 15 篇
  1. 01Application Program Interface
  2. 02Some Context on APIs
  3. 03REST APIs & HTTP Requests - Part 1
  4. 04REST APIs & HTTP Requests - Part 2
  5. 05Web Scraping and HTML Basics
  6. 06(Optional) HTML for Web Scraping
  7. 07(Optional) Web Scraping
  8. 08Web Scraping - A Key Tool in Data Science
  9. 09Web Scraping Tables using Pandas
  10. 10Working with Different File Formats
  11. 11Module 5 Summary: APIs and Data Collection
  12. 12Cheat Sheet: APIs and Data Collection
  13. 13Module 5 Glossary: APIs and Data Collection
  14. 14Congratulations and Next Steps
  15. 15Python Cheat Sheet: The Basics