Summary of the column "Python Basics Tutorial"

  Hello everyone, I am Miaomiao who loves programming. Double 985 master's degree, now working as a full-stack engineer, keen to apply data thinking to work and life. Engaged in machine learning and related front-end and back-end development work. He has won many top rankings in competitions such as Alibaba Cloud, HKUST Xunfei, and CCF. Now he is a CSDN blog expert and a high-quality creator in the field of artificial intelligence. I like to summarize and summarize the knowledge I have learned through blog creation, which not only forms a deep and unique understanding, but also helps novices get started quickly.

The "Python Basics Course" column carefully created by me has more than 900   subscriptions and has helped many students solve bugs. Recently, a classmate who studies very seriously gave me feedback that the column blog helped him solve various problems such as large models, crawlers, Python basics, etc., but sometimes it is not convenient to find it. I hope that the column articles can be organized into categories. This can improve retrieval efficiency.

  Excellent suggestions must be accepted without hesitation. Although objectively speaking, organizing is a lot of work, but when you think about the painful struggle that silkworms must go through before they can emerge from the cocoon and become a butterfly. So as soon as I finished my work in the past two days, I continued to organize it non-stop. Existing categories include large models, machine learning, crawlers, data processing and visualization, anaconda & pip & jupyter notebook & ipython & pycharm, databases and middleware, commonly used Python libraries, Python basics, github, etc. You can click on the right side of the blog button to view the catalog, as shown below:
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  This column updates at least 5 related articles every week, and the goal is at least 1,000+ articles, so it will continue to be expanded in the future, hoping that it will eventually be helpful to students who subscribe.

1. Large model

1.1 transformers & huggingface

1.2 pytorch

1.3 ChatGLM loading, training, prediction

1.4 bitsandbytes

1.5 langchain

1.6 fastchat

1.7 Installation of GPU driver, CUDA, CUDNN, NCCL, etc.

1.8 Tongyi Qianwen

1.9 llama

1.10 paddle

1.11 deepspeed

1.12 peft

1.13 cpm-bee & bmtrain

1.14 apex

1.15 tensorflow

1.16 Others

2. Machine Learning

2.1 clear

2.2 ltp

2.3 nltk

2.4 spacy

2.5 joblib & flask

2.6 Model reading and saving

2.7 English word segmentation

3. Crawler

3.1 selenium

3.2 requests

3.3 Others

4. Data processing and visualization

4.1 pandas.DataFrame

4.2 pandas

4.3 numpy

4.4 matplotlib & seaborn

4.5 excel & csv

4.6 json

4.7 yaml

4.8 pickle

4.9 zip

5. anaconda & pip & jupyter notebook & ipython & pycharm

5.1 anaconda

5.2 cond

5.3 pip

5.4 jupyter notebook

5.5 python

5.6 pycharm

6. Database & Middleware

6.1 mysql

6.2 access(mdb)

6.3 clickhouse

6.4 hdfs

6.5 kafka

6.6 Others

7. Commonly used Python libraries

8. Python basics

8.1 Encoding

8.2 built-in functions

8.3 Basics

8.4 Calculation

8.5 windows installation error: Microsoft Visual C++ 14.0 solution

9. Security and Network

10. github

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Origin blog.csdn.net/weixin_43178406/article/details/132479928