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Description: translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~ - python-doc/Python Weekly/Python_Weekly_Issue_293.md at master · nieoding/python-doc

Open Graph Description: translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~ - nieoding/python-doc

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https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#来自赞助商
https://software.intel.com/en-us/intel-distribution-for-python?utm_source=04May2017%20image%20ad%20Python%20weekly&utm_medium=email&utm_campaign=Python%20Weekly%20newsletter
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https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#新闻
PyCon JP 2017征求提议https://pycon.jp/2017/en/talks/cfp/
https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#文章教程和讲座
使用计算机视觉和深度学习创建现代OCR管道https://blogs.dropbox.com/tech/2017/04/creating-a-modern-ocr-pipeline-using-computer-vision-and-deep-learning/
使用Python和SciKit Learn 0.18的神经网络初学者指南https://www.springboard.com/blog/beginners-guide-neural-network-in-python-scikit-learn-0-18/
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一个Django RESTful API的测试驱动开发https://realpython.com/blog/python/test-driven-development-of-a-django-restful-api
Episode #110: 用Redash进行数据民主化https://talkpython.fm/episodes/show/110/data-democratization-with-redash
企业局域网中的Jupyter和Pythonhttps://medium.com/@olivier.borderies/jupyter-python-in-the-corporate-lan-109e2ffde897
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使用Faker，为Python单元测试创建假数据https://semaphoreci.com/community/tutorials/generating-fake-data-for-python-unit-tests-with-faker
关于Django中的预取(prefetching)，你所需要知道的一切https://hackernoon.com/all-you-need-to-know-about-prefetching-in-django-f9068ebe1e60
设计一个异步API，从sans-I/O开始https://snarky.ca/designing-an-async-api-from-sans-i-o-on-up/
如何创建你的第一个Python 3.6 AWS Lambda函数https://www.fullstackpython.com/blog/aws-lambda-python-3-6.html
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使用word2vec和keras的推特情绪分析http://ahmedbesbes.com/sentiment-analysis-on-twitter-using-word2vec-and-keras.html
如何使用Keras和Tensorflow中的传递学习和微调，来构建构建一个图像识别系统，并分类（几乎）任何对象https://deeplearningsandbox.com/how-to-use-transfer-learning-and-fine-tuning-in-keras-and-tensorflow-to-build-an-image-recognition-94b0b02444f2
使用单一职责原理（Single Responsibility Principle）重构Python代码库https://medium.com/unbabel-dev/refactoring-a-python-codebase-using-the-single-responsibility-principle-ed1367baefd6
利用流行建模来改善Facebook上的广告点击率https://medium.com/towards-data-science/utilising-epidemic-modelling-to-improve-advertising-click-rates-on-facebook-6f294205a43f
https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#本周的python工作
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https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#好玩的项目工具和库
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https://github.com/nieoding/python-doc/blob/master/Python Weekly/Python_Weekly_Issue_293.md#近期活动和网络研讨会
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