# python_tutorial
这里主要写一些做科研的时候需要使用到的python软件包的教程，主要包括以下：
* Python语法
* [Numpy](https://nbviewer.jupyter.org/github/haochen95/python_tutorial/blob/master/Numpy/numpy.ipynb)
* [Pandas](https://nbviewer.jupyter.org/github/haochen95/python_tutorial/blob/master/Pandas/pandas.ipynb)
* Scipy
* Scikit-learn
* [Regression](https://nbviewer.jupyter.org/github/haochen95/python_tutorial/blob/master/Scikit-learn/Scikit-learning-Regression.ipynb)
* [Classification](https://nbviewer.jupyter.org/github/haochen95/python_tutorial/blob/master/Scikit-learn/Scikit-learning-Classification.ipynb)
* Deep-learning
* tensorflow
* theano
* keras
* pyTorch
* Python可视化
* [Matplotlib](https://nbviewer.jupyter.org/github/haochen95/python_tutorial/blob/master/Python_Visualize/Scikit-learn-matplotlib-bar.ipynb)
* [Seaborn](https://github.com/haochen95/python_tutorial/blob/master/Python_Visualize/Seaborn.ipynb)
* plotly
* Python正则表达式
* Python爬虫
* Request
* [Scrapy](#scrapy)
* pygame
* pyqt5
* [其他工具](#qita)
# <span id = "matplotlib">Matplotlib</span>
| 方法| 说明|
|-----|-----|
| 子图的绘制| subplot,subplots|
| Scatter||
| chart||
| Hist chart||
| Pie chart||
| Box chart||
| Text标注||
| Plot高级||
| 其他||
# <span id = "scrapy">Scrapy</span>
|案例|说明| 作用 |
|----|----|---|
|[mySpider](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/mySpider)|爬取传智播客一页的老师名字、职称和介绍| reponse.xpath, parse, pipeline, yield|
|[TecentSpider](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/tecentJob)|爬取腾讯招聘网页的信息，例如职位名、职位地点、职位个数、职位类别等|scrapy.Request(url. callback = self.parse), 爬取有翻页的网址|
|[TencentCrawlSpider](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/tencentCrawlSpider)|上同|CrawlSpider深度爬取的使用|
|[DongguanCrawlSpider](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/dongguan)|爬出东莞阳光网上面的意见信息|CrawlSpider深度爬取|
|[dongguanSpider](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/dongguanSpider)|上同|Spider广义爬取|
|[douban](https://github.com/haochen95/python_tutorial/tree/master/Scrapy/douban)|爬取豆瓣电影的信息|将内容保存到MongDB数据库中|
# <span id = "qita">其他工具</span>
|工具|功能|网址|
|---|----|----|
|itchat|微信小助手的创建||
|wxpy|基于图灵机器人的微信尬聊||
|[pyecharts](https://github.com/haochen95/python_tutorial/tree/master/Others)|高逼格的图表可视化库||
|turtle|绘图模块||
|requests|网络请求||
|click|将一个函数变为一个命令行工具||
|lxml|HTML/XML解析器||
|wordcloud|图云||
|jieba|文本挖掘及分词功能||
|pdfkit|将文本转为pdf||
|IPy|IP地址处理模块||
|cfscrape|加密邮箱||
|pillow|图片处理模块||
|js2py|||
|PIL|||
|selenium|过驱动浏览器，完全模拟浏览器的操作||
|pyautogui|python自动化||
|pyscreenshoot|截屏模块||
|cv2|opencv模块||
|fake_useragent|模拟浏览器请求头||
|pyinstaller|打包py文件||
|ipaddress|处理IPV4和IPV6的网络地址||
|contextlib|上下文管理器功能||
|openpyxl|读写Excel||
|graphics|图形库||
|dlib|人脸识别模块||
|xlrd|读excel||
|win_unicode_console||
|snowlp|情感分析||
|gensim|文章相似度||
|pywin32|||
|torch|||
|torchvision|||
|gym|强化学习||
|imageio|图像处理||
|qrcode|生成二维码||
# Contact-info
Feel free to contact me to discuss any issues, questions, or comments.
* Email: [haochen273@gmail.com](mailto:haochen273@gmail.com)
* Blog: [Unknown404](https://www.cnblogs.com/haochen273/)
* GitHub: [haochen95](https://github.com/haochen95)
# Licese
This repository contains a variety of content; some developed by Hao Chen, and some from third-parties. The third-party content is distributed under the license provided by those parties.
```text
Copyright 2019 Hao Chen
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
```
主要用于学习Python语法，机器学习，以及深度学习的仓库.zip （156个子文件） 
scrapy.cfg 279B scrapy.cfg 267B scrapy.cfg 261B scrapy.cfg 259B scrapy.cfg 259B scrapy.cfg 259B scrapy.cfg 255B housing.csv 1.36MB train.csv 59KB test.csv 28KB shopping_data.csv 4KB submit.csv 3KB
render.html 806KB line.html 707KB bar.html 706KB teacher.html 168KB Scrapy.iml 453B DouyuPicture.iml 453B Scikit-learning-Regression.ipynb 722KB Scikit-learning-Regression-checkpoint.ipynb 722KB Scikit-learn-Linear_polyomial_logic_regression.ipynb 639KB Scikit-learn-matplotlib-bar.ipynb 517KB Seaborn.ipynb 352KB pyecharts.ipynb 279KB pyecharts-checkpoint.ipynb 279KB Hierarchical clustering-checkpoint.ipynb 271KB Hierarchical clustering.ipynb 271KB Scikit-learning-Classification.ipynb 232KB pandas.ipynb 169KB numpy.ipynb 37KB tencent.json 647KB itcast.json 175KB yieldmethod.json 97KB dongguan.json 92KB dongguan.json 76KB tencent.json 25KB first.json 0B dongguan.json 0B LICENSE 11KB tencentlog.log 25KB mnist-original.mat 52.87MB README.md 5KB PULL_REQUEST_TEMPLATE.md 1KB bug_report.md 834B feature_request.md 595B
bar02.png 4.89MB snapshot.png 4.89MB scatter_matrix_plot.png 1.9MB housing_prices_scatterplot.png 1.09MB income_vs_house_value_scatterplot.png 703KB attribute_histogram_plots.png 434KB middlewares.py 4KB middlewares.py 4KB middlewares.py 4KB middlewares.py 4KB middlewares.py 4KB middlewares.py 4KB middlewares.py 4KB settings.py 3KB settings.py 3KB settings.py 3KB settings.py 3KB settings.py 3KB settings.py 3KB settings.py 3KB tencent.py 2KB sun.py 2KB itcastspider.py 2KB tencent.py 1KB sun.py 1KB doubanmovie.py 1021B pipelines.py 972B pipelines.py 822B douyumeinv.py 794B pipelines.py 694B pipelines.py 567B pipelines.py 559B pipelines.py 558B pipelines.py 558B items.py 452B items.py 413B items.py 379B items.py 361B items.py 361B items.py 353B items.py 330B start.py 232B __init__.py 163B __init__.py 163B __init__.py 163B __init__.py 161B __init__.py 161B __init__.py 161B __init__.py 161B __init__.py 161B __init__.py 161B __init__.py 161B __init__.py 0B __init__.py 0B __init__.py 0B共 156 条
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