heblade/pythontraining

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Name		Name	Last commit message	Last commit date
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.github/workflows		.github/workflows
.idea		.idea
__pycache__		__pycache__
archive.ics.uci.edu/ml/machine-learning-databases/iris		archive.ics.uci.edu/ml/machine-learning-databases/iris
csv		csv
docs/txt/168104986		docs/txt/168104986
excel		excel
html		html
image		image
json		json
log		log
mycode		mycode
nlpmodel		nlpmodel
output		output
txt		txt
.gitignore		.gitignore
00.1 GIT and PyCharm Introduction.ipynb		00.1 GIT and PyCharm Introduction.ipynb
00.2 project structure Recommendation.ipynb		00.2 project structure Recommendation.ipynb
00.3 Jupyter技巧_插件_添加Python虚拟环境的Kernel.ipynb		00.3 Jupyter技巧_插件_添加Python虚拟环境的Kernel.ipynb
00.newfeatureforpython3.x.ipynb		00.newfeatureforpython3.x.ipynb
01.Install and basesyntax.ipynb		01.Install and basesyntax.ipynb
02. basic data type.ipynb		02. basic data type.ipynb
02.1 Important function for strings.ipynb		02.1 Important function for strings.ipynb
02.2 Dictionary and list common usage.ipynb		02.2 Dictionary and list common usage.ipynb
03. comment and exception.ipynb		03. comment and exception.ipynb
04. operator.ipynb		04. operator.ipynb
05. condition control.ipynb		05. condition control.ipynb
06. circle statement.ipynb		06. circle statement.ipynb
07. iterandgenerator.ipynb		07. iterandgenerator.ipynb
08. function.ipynb		08. function.ipynb
09. module.ipynb		09. module.ipynb
10. input and output.ipynb		10. input and output.ipynb
11. object-oriented (class).ipynb		11. object-oriented (class).ipynb
12. regex.ipynb		12. regex.ipynb
13. regex (for python).ipynb		13. regex (for python).ipynb
14. regex samples.ipynb		14. regex samples.ipynb
15. HTML Introduction.ipynb		15. HTML Introduction.ipynb
16. Parse HTML by XPATH.ipynb		16. Parse HTML by XPATH.ipynb
17. Parse HTML by Beautiful Soup 4.ipynb		17. Parse HTML by Beautiful Soup 4.ipynb
17.1 Sample_Crawl Tieba Image Files.ipynb		17.1 Sample_Crawl Tieba Image Files.ipynb
18.1 Web Crawler - Selenium入门及使用.ipynb		18.1 Web Crawler - Selenium入门及使用.ipynb
19. Database Operation By Python.ipynb		19. Database Operation By Python.ipynb
20. Data Operation Package_Numpy.ipynb		20. Data Operation Package_Numpy.ipynb
20.1 Data Operation Package_Numpy_Vital Functions.ipynb		20.1 Data Operation Package_Numpy_Vital Functions.ipynb
20.2 Data Operation Package_Numpy_Samples.ipynb		20.2 Data Operation Package_Numpy_Samples.ipynb
20.2 Data Operation Package_Numpy_审计常用函数.ipynb		20.2 Data Operation Package_Numpy_审计常用函数.ipynb
21. Data Mining Package_Pandas.ipynb		21. Data Mining Package_Pandas.ipynb
21.1 Data Mining Package_Pandas_Samples.ipynb		21.1 Data Mining Package_Pandas_Samples.ipynb
21.2 pandas_practice_sz_house.ipynb		21.2 pandas_practice_sz_house.ipynb
21.3 A_stocks.ipynb		21.3 A_stocks.ipynb
22. Machine Learning Basic Introduction.ipynb		22. Machine Learning Basic Introduction.ipynb
22.1 Hello World_Machine Learning.ipynb		22.1 Hello World_Machine Learning.ipynb
22.2 手动实现梯度下降.ipynb		22.2 手动实现梯度下降.ipynb
22.3 Scikit-Learn模型可视化.ipynb		22.3 Scikit-Learn模型可视化.ipynb
23. NLP Introduction.ipynb		23. NLP Introduction.ipynb
23.1 Flair NLP Package on PyTorch.ipynb		23.1 Flair NLP Package on PyTorch.ipynb
23.2 TextRank Inroduction.ipynb		23.2 TextRank Inroduction.ipynb
23.3 SnowNLP Practice.ipynb		23.3 SnowNLP Practice.ipynb
24. Neural Network Introduction.ipynb		24. Neural Network Introduction.ipynb
24.0.0 手写最简单的神经网络.ipynb		24.0.0 手写最简单的神经网络.ipynb
24.0.1 PyTorch Basic.ipynb		24.0.1 PyTorch Basic.ipynb
24.0.2 Pytorch常用代码.ipynb		24.0.2 Pytorch常用代码.ipynb
24.0.3 Pytorch实现ResNet.ipynb		24.0.3 Pytorch实现ResNet.ipynb
24.0.4 AlexNet.ipynb		24.0.4 AlexNet.ipynb
24.1 Pytorch Practice_Fashion MNIST.ipynb		24.1 Pytorch Practice_Fashion MNIST.ipynb
24.2 Transformer Practice_Attention is All You Need.ipynb		24.2 Transformer Practice_Attention is All You Need.ipynb
24.3 ImageDataGenerator in Keras.ipynb		24.3 ImageDataGenerator in Keras.ipynb
24.4 Transformer Demo.ipynb		24.4 Transformer Demo.ipynb
24.4 简单实现GAN模型.ipynb		24.4 简单实现GAN模型.ipynb
24.5 TextCNN.ipynb		24.5 TextCNN.ipynb
24.6 GNN.ipynb		24.6 GNN.ipynb
24.7 Bert_Text_Classification.ipynb		24.7 Bert_Text_Classification.ipynb
25. Interesting Python Libiraries.ipynb		25. Interesting Python Libiraries.ipynb
26. 量化投资相关内容.ipynb		26. 量化投资相关内容.ipynb
27. 优秀的资源收集.ipynb		27. 优秀的资源收集.ipynb
28. Python练习题.ipynb		28. Python练习题.ipynb
28. Python练习题_答案.ipynb		28. Python练习题_答案.ipynb
29_NLP_v2_i2k_exploration.ipynb		29_NLP_v2_i2k_exploration.ipynb
30. FastHAN_Practice.ipynb		30. FastHAN_Practice.ipynb
31. neo4j practice.ipynb		31. neo4j practice.ipynb
32. networkx.ipynb		32. networkx.ipynb
AR 结果分组.ipynb		AR 结果分组.ipynb
CV_图片相似度计算.ipynb		CV_图片相似度计算.ipynb
SECURITY.md		SECURITY.md
Test Tensorflow Whether is OK.ipynb		Test Tensorflow Whether is OK.ipynb
Training Question 1.ipynb		Training Question 1.ipynb
Training Question II.ipynb		Training Question II.ipynb
all_requirements.txt		all_requirements.txt
applydir.py		applydir.py
aws_sample.ipynb		aws_sample.ipynb
blank_content.txt		blank_content.txt
company_manager.ipynb		company_manager.ipynb
fibo.py		fibo.py
install_need_package.py		install_need_package.py
logutil.py		logutil.py
my_practice.ipynb		my_practice.ipynb
myfile.txt		myfile.txt
paddlepaddle_practice.ipynb		paddlepaddle_practice.ipynb
pandas_sample.ipynb		pandas_sample.ipynb
read_file_with_0x00.ipynb		read_file_with_0x00.ipynb

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教程目的

教程面向非程序员,或者是面向公司的Data Analyst。目的是使得非职业开发人员,能够快速掌握Python的使用方法。随着基础教程结束,将会以实际的工作过程中,能够通过Python解决的需求问题为主。

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