# Python数据分析的青春修炼手册 **Repository Path**: cangxuewuhen/The-Youth-Training-Handbook-of-Python-for-Data-Analysis ## Basic Information - **Project Name**: Python数据分析的青春修炼手册 - **Description**: A handbook of data analysis based on Python. Python数据分析的青春修炼手册,练习时间倒也不需要两年半。 - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2023-12-03 - **Last Updated**: 2023-12-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Data Analysis Handbook ## Introduction I am trying to finish a handbook for the beginners to start the study of data analysis based on Python. Instead of Anaconda, I chose **Pycharm** combined with **Jupyter Notebook**. One of the main reasons is that I am not personally familiar with **Anaconda**. In my opinion, no matter what IDE we choose, achieving results is what we are pursing. ## The Basic Part To be honest, I have no specific plan of this project. Today is 11/24/2023, I just finished the first part of the handbook. What I can promise is that it will be an **ongoing project**. ### 1. Intro to Python and Jupyter - In the chapter 1, I introduced how to install `Python`, `Pycharm`, `Jupyter Notebook` and introduce some basic concept to the begginers. You can go to the chapter 1 through this link: https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/1_Intro_Jupyter%20_and_Python.ipynb ### 2. Intro to data - In the chapter 2, I introduced the basic concept of data. You can go to the chapter 2 through this link: https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/2_Intro_to_Data.ipynb **PS.** Today is 2023/11/25, I really hope that I could keep updating. ### 3. Intro to Pandas - In the chapter 3, I introduced the basci of the Python Packages: `Pandas` You can go to the chapter 3 through this link: https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/3_Intro_to_Pandas.ipynb So far, I have completed 3 basic courses and 3 exercises. Once you have completed the first 3 basic lessons and exercises, we will begin the advanced lessons. ## The First Practice Afer Basic Courses I provided 3 fundamental practices in this project. I believe that: **Practice Makes Perfect**. **Practice 1**:https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/Fandamental_Practice_1.ipynb **Practice 2**:https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/Fundamental_Practice_2.ipynb **Practice 3**:https://gitee.com/judgehu/The-Youth-Training-Handbook-of-Python-for-Data-Analysis/blob/master/Fundamental_Practice_3.ipynb ## Announcement I referenced UC Berkeley's relevant curriculum and structure, but adapted the overall structure to make the manual more relevant to the learning characteristics associated with the School of Business and Management.