|
8 | 8 |
|
9 | 9 | [](https://click.linksynergy.com/link?id=x9UsEHf2tls&offerid=323085.903744&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fpython-for-data-science-and-machine-learning-bootcamp%2F) |
10 | 10 |
|
11 | | -[Python for Data Science and Machine Learning Bootcamp](https://click.linksynergy.com/link?id=x9UsEHf2tls&offerid=323085.903744&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fpython-for-data-science-and-machine-learning-bootcamp%2F) |
12 | | -Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! |
| 11 | +[Python 数据科学和机器学习训练营](https://click.linksynergy.com/link?id=x9UsEHf2tls&offerid=323085.903744&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fpython-for-data-science-and-machine-learning-bootcamp%2F) |
| 12 | + |
| 13 | +学习如何使用 NumPy、Pandas、Seaborn、Matplotlib、Plotly、Scikit-Learn、机器学习、Tensorflow 等等! |
13 | 14 |
|
14 | 15 |
|
15 | 16 | # 文章,教程和讲座 |
16 | 17 |
|
17 | | -[Learning Curves for Machine Learning](https://www.dataquest.io/blog/learning-curves-machine-learning/) |
18 | | -This tutorial uses a real world data set to teach you how to diagnose and reduce bias and variance. |
19 | | - |
20 | | -[Mastering Click: Writing Advanced Python Command-Line Apps](https://dbader.org/blog/mastering-click-advanced-python-command-line-apps#info) |
21 | | -How to improve your existing Click Python CLIs with advanced features like sub-commands, user input, parameter types, contexts, and more. |
22 | | - |
23 | | -[Interactive Visualization of Australian Wine Ratings](http://pbpython.com/wine_visualization.html) |
24 | | -Building an interactive wine review visualization tool with Bokeh. |
| 18 | +[机器学习学习曲线](https://www.dataquest.io/blog/learning-curves-machine-learning/) |
| 19 | + |
| 20 | +本教程使用真实世界数据集,教你如何诊断和减少偏差和方差。 |
25 | 21 |
|
26 | | -[How to add a text filter to Django Admin](https://medium.com/@hakibenita/how-to-add-a-text-filter-to-django-admin-5d1db93772d8) |
27 | | -How to replace Django search with text filters for specific fields. |
| 22 | +[掌握 Click:编写高级 Python 命令行应用](https://dbader.org/blog/mastering-click-advanced-python-command-line-apps#info) |
| 23 | + |
| 24 | +如何使用高级功能(如子命令、用户输入、参数类型、上下文等),改善你现有的 Click Python CLI。 |
28 | 25 |
|
29 | | -[Create a scalable REST API with Falcon and RHSCL ](https://developers.redhat.com/blog/2017/12/29/create-scalable-rest-api-falcon-rhscl/) |
30 | | -APIs are critical to automation, integration and developing cloud-native applications, and it's vital they can be scaled to meet the demands of your user-base. In this article, we'll create a database-backed REST API based on the Python Falcon framework using Red Hat Software Collections (RHSCL), test how it performs, and scale-out in response to a growing user-base. |
| 26 | +[澳大利亚葡萄酒评级等交互式可视化](http://pbpython.com/wine_visualization.html) |
| 27 | + |
| 28 | +使用 Bokeh,构建一个交互式葡萄酒评级可视化工具。 |
| 29 | + |
| 30 | +[如何为 Django Admin 添加一个文本过滤器](https://medium.com/@hakibenita/how-to-add-a-text-filter-to-django-admin-5d1db93772d8) |
| 31 | + |
| 32 | +如何用特定字段的文本过滤器来替换 Django 搜索。 |
31 | 33 |
|
32 | | -[Extending Python 3 in Go](https://hackernoon.com/extending-python-3-in-go-78f3a69552ac) |
| 34 | +[使用 Falcon 和 RHSCL,创建一个可扩展的 REST API](https://developers.redhat.com/blog/2017/12/29/create-scalable-rest-api-falcon-rhscl/) |
| 35 | + |
| 36 | +对于自动化、集成和开发本地云应用而言,API至关重要,而可以对其扩展,以满足用户群的需求,这也是很重要的。在这篇文章中,我们会使用 Red Hat Software Collections (RHSCL),基于 Python Falcon 框架,创建一个支持数据库的 REST API,测试其性能,并且为应对不断增长的用户群而将其向外扩展。 |
| 37 | + |
| 38 | +[在 Go 中扩展 Python 3](https://hackernoon.com/extending-python-3-in-go-78f3a69552ac) |
33 | 39 |
|
34 | | -[Write your own miniature Redis with Python](http://charlesleifer.com/blog/building-a-simple-redis-server-with-python/) |
| 40 | +[用 Python 编写你自己的微型 Redis](http://charlesleifer.com/blog/building-a-simple-redis-server-with-python/) |
35 | 41 |
|
36 | | -[Deep Learning & Art: Neural Style Transfer - An Implementation with Tensorflow in Python](https://sandipanweb.wordpress.com/2018/01/02/deep-learning-art-neural-style-transfer-an-implementation-with-tensorflow-in-python/) |
| 42 | +[深度学习与艺术:神经风格转换 —— Python 中使用 Tensorflow 的一种实现](https://sandipanweb.wordpress.com/2018/01/02/deep-learning-art-neural-style-transfer-an-implementation-with-tensorflow-in-python/) |
37 | 43 |
|
38 | | -[Taking screenshots with OpenCV and Python](https://www.pyimagesearch.com/2018/01/01/taking-screenshots-with-opencv-and-python/) |
| 44 | +[使用 OpenCV 和 Python 来截图](https://www.pyimagesearch.com/2018/01/01/taking-screenshots-with-opencv-and-python/) |
39 | 45 |
|
40 | 46 |
|
41 | 47 | # 书籍 |
42 | 48 |
|
43 | 49 | [The Hacker's Guide to Scaling Python](http://amzn.to/2CNBA5T) |
44 | | -Python is a wonderful programming language that allows writing applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as "How do I make my code faster?" or "How do I make sure there is no bottleneck?" cost hours to find good answers. Without enough background on the topic, you'll never be sure that any answer you'll come up with will be correct. The Hacker's Guide to Scaling Python will help you solve that by providing guidelines, tips and best practice. Adding a few interview of experts on the subject, you will learn how you can distribute your Python application so it is able to process thousands of requests. |
45 | | - |
| 50 | + |
| 51 | +Python 是一种棒棒哒的编程语言,让我们可以快速编写应用。但是,对于成千万的用户和请求,你要如何扩展这些应用呢?要获得这些经验和知识,是需要多年的实践、研究、尝试和犯错的。诸如“我要如何才能让我的代码跑得更快些?”或者“我要如何确保没有瓶颈?”这样简单的问题,要话费数小时才能找到好的答案。如果对于这些主题,没有足够的研究,你将无法确保你想出来的答案是正确的。「The Hacker's Guide to Scaling Python」这本书将会提供指导、技巧和最佳实践,来帮你解决这些问题。通过增加相关主题的专家采访,你将学习分布式 python 应用的方法,以便能够处理数以千计的请求。 |
| 52 | + |
46 | 53 |
|
47 | 54 | # 本周的Python工作 |
48 | 55 |
|
49 | | -[Senior Software Engineer (Python) at Pole Star](http://jobs.pythonweekly.com/jobs/senior-software-engineer-python-4/) |
50 | | -Pole Star is developing innovative SaaS software solutions and APIs for the maritime, banking & finance and government sectors. We are looking for an experienced Software Engineer with strong commercial experience of Python to build and maintain our core Python based platforms and services. |
| 56 | +[Pole Star 招聘高级软件工程师(Python)](http://jobs.pythonweekly.com/jobs/senior-software-engineer-python-4/) |
| 57 | + |
| 58 | +Pole Star 正在为海事、银行、金融和政府部门开发创新型 SaaS 软件解决方案和 API。我们正在寻找一名经验丰富的软件工程师,他/她需要有丰富的 Python 商业经验,以构建和维护我们核心的基于 Python 的平台和服务。 |
51 | 59 |
|
52 | | -[Senior Webapp Developer (Django) at Inspirient](http://jobs.pythonweekly.com/jobs/senior-webapp-developer-django/) |
53 | | -At Inspirient, we are building the self-driving car of business analytics - an Artificial Intelligence that analyses any business dataset just like an experienced consultant or data scientist would. In our software, we combine various technologies from fields including machine learning, expert systems, pattern recognition, procedural generation, and in-memory data processing. As a Senior Software Engineer, your key responsibility will be to take charge of the back-end development of our web application. |
| 60 | +[Inspirient 招聘高级 webapp 开发(Python)](http://jobs.pythonweekly.com/jobs/senior-webapp-developer-django/) |
| 61 | + |
| 62 | +在 Inspirient,我们正在构建业务分析的自驾车 —— 一个就像经验丰富的顾问或者数据科学家那样分析任何业务数据集的人工智能。在我们的软件中,我们结合了包含机器学习、专家系统、模式识别、程序生成和内存中数据处理等领域的各种技术。作为高级软件工程师,您的主要职责是负责 web 应用的后台开发。 |
54 | 63 |
|
55 | 64 |
|
56 | 65 | # 好玩的项目,工具和库 |
57 | 66 |
|
58 | 67 | [fsociety](https://github.com/Manisso/fsociety) |
59 | | -A Penetration Testing Framework , you will have every script that a hacker needs. |
60 | | - |
| 68 | + |
| 69 | +渗透测试框架,你将拥有黑客需要的每一个脚本。 |
| 70 | + |
61 | 71 | [Parris](https://github.com/jgreenemi/Parris) |
62 | | -An automated infrastructure setup tool for machine learning algorithms. |
63 | | - |
| 72 | + |
| 73 | +一个机器学习算法的自动化基础架构设置工具。 |
| 74 | + |
64 | 75 | [opentracing-python](https://github.com/opentracing/opentracing-python) |
65 | | -OpenTracing API for Python. |
66 | | - |
| 76 | +OpenTracing 的 Python API。 |
| 77 | + |
67 | 78 | [spoon](https://github.com/Jiramew/spoon) |
68 | | -A package for building specific Proxy Pool for different Sites. |
| 79 | + |
| 80 | +一个为不同站点构建特定代理池的软件包。 |
69 | 81 |
|
70 | 82 | [VulnWhisperer](https://github.com/austin-taylor/VulnWhisperer) |
71 | | -Create actionable data from your Vulnerability Scans. |
| 83 | + |
| 84 | +从漏洞扫描中创建可操作数据。 |
72 | 85 |
|
73 | 86 | [images-to-osm](https://github.com/jremillard/images-to-osm) |
74 | | -Use TensorFlow, Bing, and OSM to find features in satellite images for fun. |
| 87 | + |
| 88 | +使用 TensorFlow、Bing 和 OSM,to find features in satellite images for fun. |
75 | 89 |
|
76 | 90 | [rop-rpc](https://github.com/xyzz/rop-rpc) |
77 | | -A sophisticated and enterprise-ready method to run arbitrary complex ROP payloads on Nintendo Switch. |
| 91 | + |
| 92 | +在任天堂交换机上运行任意复杂的 ROP 有效负载的复杂企业级方法。 |
78 | 93 |
|
79 | 94 | [crossviper](https://github.com/morten1982/crossviper) |
80 | | -Tkinter Python IDE. |
| 95 | + |
| 96 | +Tkinter Python IDE。 |
81 | 97 |
|
82 | 98 | [skip-thoughts](https://github.com/sanyam5/skip-thoughts) |
83 | | -An implementation of Skip-Thought Vectors in PyTorch. |
84 | | - |
| 99 | + |
| 100 | +PyTorch 中的 Skip-Thought Vector 实现。 |
| 101 | + |
85 | 102 | [pydqc](https://github.com/SauceCat/pydqc) |
86 | | -Python automatic data quality check toolkit. |
87 | | - |
| 103 | + |
| 104 | +Python 自动数据质量检查工具包。 |
| 105 | + |
88 | 106 | [dm_control](https://github.com/deepmind/dm_control) |
89 | | -The DeepMind Control Suite and Control Package. |
90 | | - |
| 107 | + |
| 108 | +DeepMind 控制套件和控制包。 |
| 109 | + |
91 | 110 |
|
92 | 111 | # 最新发布 |
93 | 112 |
|
94 | 113 | [Scrapy 1.5.0](https://docs.scrapy.org/en/latest/news.html#scrapy-1-5-0-2017-12-29) |
95 | | -This release brings small new features and improvements across the codebase. |
96 | | - |
97 | | -[Django bugfix releases: 2.0.1 and 1.11.9](https://www.djangoproject.com/weblog/2018/jan/01/bugfix-releases/) |
| 114 | + |
| 115 | +此版本整个代码带来了小的新功能和改进。 |
| 116 | + |
| 117 | +[Django 问题修复版本:2.0.1 和 1.11.9](https://www.djangoproject.com/weblog/2018/jan/01/bugfix-releases/) |
98 | 118 |
|
99 | 119 |
|
100 | 120 | # 近期活动和网络研讨会 |
101 | 121 |
|
102 | | -[San Francisco Python Meetup January 2018 \- San Francisco, CA](https://www.meetup.com/sfpython/events/245191678/) |
| 122 | +[San Francisco 2018 年 1 月 Python 聚会 - San Francisco, CA](https://www.meetup.com/sfpython/events/245191678/) |
103 | 123 | There will be a talk, Python 3 at Lyft. |
104 | 124 |
|
105 | | -[Boulder Python Meetup January 2018 - Boulder, CO](https://www.meetup.com/BoulderPython/events/245533980/) |
| 125 | +[Boulder 2018 年 1 月 Python 聚会 - Boulder, CO](https://www.meetup.com/BoulderPython/events/245533980/) |
106 | 126 |
|
107 | | -[Austin Python Meetup January 2018 - Austin, TX](https://www.meetup.com/austinpython/events/243637662/) |
| 127 | +[Austin 2018 年 1 月 Python 聚会 - Austin, TX](https://www.meetup.com/austinpython/events/243637662/) |
108 | 128 |
|
109 | | -[PyAtl Meetup January 2018 - Atlanta, GA](https://www.meetup.com/python-atlanta/events/241451570/) |
| 129 | +[PyAtl 2018 年 1 月 Python 聚会 - Atlanta, GA](https://www.meetup.com/python-atlanta/events/241451570/) |
110 | 130 |
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111 | 131 |
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112 | 132 |
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