- 原文: Import Python Weekly Newsletter - Issue No 141
- 欢迎, 来 PyChina/weekly 共同翻译/增订/推荐 周刊 蠎消息 ;-)
该读
~ 文章, Blog, 教程...
- GoCD - 开源续发服务器
- GoCD, advert
GoCD is a continuous delivery tool specialising in advanced workflow modeling and dependency management. It lets you track a change from commit to deploy at a glance, providing superior visibility into your workflow. It’s open source, free to use and download.
(是也乎:
对 CI 的进一步提升, 持续发送?
)
- Python 令人难以置信的成长
- core-python
In this post, we’ll explore the extraordinary growth of the Python programming language in the last five years, as seen by Stack Overflow traffic within high-income countries. The term “fastest-growing” can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing major programming language.
(是也乎:
简单的说, 只是撞到了数据科学的大热点... )
-
- videos
-
- django
I’m starting today a new tutorial series about the Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment.
(是也乎:
叕一个 Dj 教程...
)
- hatch: 现代化的 项目,包以及虚拟环境管理器
- package manager
Hatch is a productivity tool designed to make your workflow easier and more efficient, while also reducing the number of other tools you need to know. It aims to make the 90% use cases as pleasant as possible.
(是也乎:
/^\/^\
_|__| O|
\/ /~ \_/ \
\____|__________/ \
\_______ \
`\ \ \
| | \
/ / \
/ / \
/ / \ \
/ / \ \
/ / _----_ \ \
/ / _-~ ~-_ | |
( ( _-~ _--_ ~-_ _/ |
\ ~-____-~ _-~ ~-_ ~-_-~ /
~-_ _-~ ~-_ _-~
~--______-~ ~-___-~
简单的说: 简化一堆 CLI 工具的 CLI 工具. )
- selectors
- select
Provide platform-independent abstractions for I/O multiplexing based on the select module.
(是也乎:
PyMOTW 已经坚持了有快10年了...可见 Python 内建模块的持续优化中故事太多了...
)
- 用 PyCharm 嗯哼 Reddit
Run reddit on your local machine with PyCharm to help you through the way.
- 从 Scratch 嗯哼的深度学习 II: Perceptrons – deep ideas
- deep learning
This is part 2 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API.
- 性能分析: Goroutine 和 Python 的 Coroutine
- python, go
I made 1000 HTTP requests using Goroutines and Python’s Coroutines. Do check out Go Programming Language Newsletter http://importgolang.com to keep track of Go ecosystem.
- 高级 Pillow 第二部分
- image processing
Wow Pillow is powerful.
- Python 中的 Threads vs Processes
- Threads, processes
Beginner’s guide to parallel programming.
-
- data science
-
- machine learning, sentiment analysis
Analyzing over a thousand tweets a minute
- PyTorch vs TensorFlow?—?挖掘差异
- machine learning
In this post I want to explore some of the key similarities and differences between two popular deep learning frameworks: PyTorch and TensorFlow. Why those two and not the others? There are many deep learning frameworks and many of them are viable tools, I chose those two just because I was interested in comparing them specifically.
(是也乎:
图样图森破, 其实最大的差异就是爹不同哪...
)
- Smarkets 的数据驱动营销
- ETL
I was introduce to Luigi by my friend Shanmuganandh. It has since become an important tool in my Python toolkit. Do check it out.
- 重新设计 Python 的命名元组
- tuples
Deficiencies in the startup time for Python, along with the collections.namedtuple() data structure being identified as part of the problem, led Guido van Rossum to decree that named tuples should be optimized. That immediately set off a mini-storm of thoughts about the data structure and how it might be redesigned in the original python-dev thread, but Van Rossum directed participants over to python-ideas, where a number of alternatives were discussed. They ranged from straightforward tweaks to address the most pressing performance problems to elevating named tuples to be a new top-level data structure—joining regular tuples, lists, sets, dictionaries, and so on.
(是也乎:
论一个 EPE 的养成术
)
- 不过载库的 Python 学习姿势
- education
(是也乎:
简单的说, 那是不可能的... )
- How Python does Unicode?
- unicode
(是也乎:
说多了都是泪.... )
- btcpy 发布: 全功能的比特币库
- bitcoin
With the aim of making Bitcoin products development easier and more effective, at Chainside we decided to develop btcpy, a new Python 3 SegWit-compliant library, which is focused on providing a simple interface to parse and create complex Bitcoin scripts.
This blog post shows a basic example of a Serverless Thrift API with Python for AWS Lambda and AWS API Gateway.
- python 奇招集锦
- core-python
Python, being awesome by design high-level and interpreter-based programming language, provides us with many features for the programmer's comfort. But sometimes, the outcomes of a Python snippet may not seem obvious to a regular user at first sight. Here is a fun project attempting to collect such classic and tricky examples of unexpected behaviors in Python and discuss what exactly is happening under the hood!
(是也乎:
简单的说, 嫑用...
<- WTFPL 2.0 这个许可证很屌... )
- Monkey-patching is Bad
- monkey patching
Monkey-patching software is generally frowned upon, but there is a time and a place for everything, even monkey-patching.
(是也乎:
🐒补刚刚在嗯哼说赞, 马上就反转了... )
-
Serving 1x1 pixels from AWS Lambda endpoints
- aws lambda A no-headache guide to serve 1x1 pixels in a serverless, Pythonic world.
-
- zen of python
The Zen of Python?—?is a list of 19 general truths for Python design principles. Apparently there is a 20th, but I’m focusing on understanding the written list before speculating on what the Easter Egg could be. Written below is a brief analysis of each rule, taken in large part from an article I read on Quora.com. Below the list is the link for that.
(是也乎:
值得长久嗯哼的文本, 只是随着技术的进步落实到代码上也各有不同... )
- Python 玑珠 #9: itertools.chain
- itertools
This is a daily series called Python Gems. Each short posts covers a detail, feature or application of the python language that you can use to increase your codes readability while decreasing its length.
(是也乎:
一个系列, 收集各种简洁代码的思路 )
- Python 魔法方法和 getattr
- core-python
A primer on Magic Methods
好物
~ 包/模块/库/片段...
- background
- 263 Stars, 10 Fork
Runs things in the background.
- seq2seq-chatbot
- 85 Stars, 25 Fork
Chatbot in 200 lines of code
(是也乎:
叕一个聊天机械人, 不过这只上了 TF )
- console-logging
- 59 Stars, 4 Fork
Better, prettier commandline logging for Python--with colors!
(是也乎:
叕一个美化 CLI 界面日志的模块, 只是亲...windows 下根本嗯哼了... 另外, 定向到文件中也没用了哈... )
- atq
- 36 Stars, 0 Fork
distributed task queue for asyncio.
(是也乎:
py3 only 的...
)
- pycoinbin
- 17 Stars, 1 Fork
Python Wrapper for coinbin.org
- plain_obj
- 12 Stars, 0 Fork
A faster alternative to namedtuple.
(是也乎:
已经有实现了... )
- deep-learning-with-python-notebooks
- 0 Stars, 0 Fork
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
(是也乎:
叕一则, ipynb 格式的深度学习教程
)
- adbus
- 0 Stars, 0 Fork
D-Bus Binding? for Python that supports coroutines (asyncio).
(是也乎:
感觉 py3 在拼命用 asyncio 折腾越来越多的轮子来证明什么...
)
( ̄▽ ̄)
- PyConChina2017 议题征集开始
- 申报表单: https://jinshuju.net/f/2ag6QB
中国的PyCon大会已经组织了6年,在第7年PyCon大会之际,Python3已经成熟,比如Instagram迁移到了Python3。而人工智能方兴未艾,区块链、物联网、AR、VR、机器人等领域创新不断涌现。
本大会以“大数据和人工智能技术的创新应用”为主题,将由丰富的内容和议题组成,着重探讨如何使用Python技术进行大数据和人工智能的技术开发和最佳实践,并结合具体的产品和行业发展趋势,分享不同类型的应用、场景下的开发和运营经验。
...
今年PyConChina2017将在两个城市举办,上海定档:
2017年10月22日 8:30 ~ 17:00
(是也乎:
结果立即在 CPyUG 列表中引发了各种嗯哼, 并有行者组织了议题问卷, 得到稍有不同的期待, 所以, 大会的举行真心得看坚持了. )
是也乎
- 170908 Zoom.Quiet 42 分钟完成快译
- 170908 Zoom.Quiet 用时 7 分钟完成格式化.
Comments