原文: PyCoder's Weekly - Issue #395html
Python 中咯线程python
Learn how to use threading in your Python programs. You’ll see how to create threads, how to coordinate and synchronize them, and how to handle common problems that arise in threading.git
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github
基础而又不简单的嗯哼...
)web
加载较少数据来减小 Pandas 内存用量django
How to reduce the memory your DataFrame uses at the time it is initially loaded: by dropping columns, lower-range numerical dtypes, and categoricals.segmentfault
An interesting summary of discussions around PEP 584 (“Add + and += operators to the built-in dict class”).安全
为何向 Python 3 迁移须要这么长时间?session
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由于, 多数项目无法儿迁移...
)
Related discussion on Hacker News.
Discussions
“To a user, attribute-style access is implicitly assumed to be fast. In contrast, a well-named method can communicate workload: raymondh.family_members vs raymondh.scan_entire_social_graph()“
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简单说: 不必
)
Articles, Tutorials and Talks
See how to use the development environment included with your Python installation. Python IDLE is a small program that packs a big punch! You’ll learn how to use Python IDLE to interact with Python directly, work with Python files, and improve your development workflow.
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IDLE 虽好, 可嫑贪杯哪...
这都21世纪了, 为何要用 IDLE 呢? 有什么想不开的说出来你们开心一下嘛...
Integrated Development and Learning Environment
人家是用来学习的, 开发真心囧的...
)
Python techniques for processing “bigger than RAM” data on a single computer, with minimal setup, and as much as possible using the same libraries you’re already using.
How to build secure asynchronous APIs in Python using Korv and AsyncSSH that listen on TCP sockets over SSH sessions.
Learn how to work adeptly with the Pandas GroupBy facility while mastering ways to manipulate, transform, and summarize data. You’ll work with real-world datasets and chain GroupBy methods together to get data in an output that suits your purpose.
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这也是神器之一...
)
How to host Jupyter notebooks on your own server so you can access them anywhere, even with your mobile phone.
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其实, 官方文档都有曰...只是, 仍是过重了...
Azure 们提供了预嗯哼好的...
)
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为何这么想不开?
)
用 DTrace 和 cProfile 对 Django 进行性能分析
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DTrace ~ Solaris 贡献的神器...
)
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真蟒 率先嗯哼非洲去了...
)
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guido 老爹太皮了, 将一个不起眼的 int()
转换函式嗯哼的这么强大...
)
Interesting Projects, Tools and Libraries, Projects & Code
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等等,好象这事儿是 Jupyter 以前要做的事儿哪...
一行完美加速 Pandas 们的计算....
import modin.pandas as pd
)
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等等, 工做流扎堆发布是想抢 oDoo 的生意?
)
django-fsm: 适用Django 的易用 有限状态机
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这项目名起的好哪...
)
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slim4py: Ruby Slim 当 Python 模板引擎
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等等... Rubista 叛变来的?
)
Makefile.venv: 用 Makefile 管理 Python 虚拟环境
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嗯哼? 这个很是正义哪, 沈游侠曰过:
每一个程序猿 一辈子 终将完成本身那个 makefile
make 做为一个通用工具, 已经达到了完美级别,
只是, 不多有大规模宣传而已,
可是, 要论通用/兼容, 真的没什么工具能比过1976年4月,43年前发布的:
GNU make
)
(是也乎:
JAVA 的地盘总归会吞入 Python 腹中
)
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import pandas as 🐼 from numpy import random as 🔀 # Define a dataframe and print it to the console 📋 = 🐼.DataFrame( { "😀": ["🐼", "🐍", "🦁"], "🏷️": ["Panda", "Python", "Lion"], "💯": 🔀.randint(2, 5, size=3), }, ).set_index("😀") print(📋) # Do some arithmetic with the dataframe 🔤 = f" Pythonji {' '.join(📋.index)}" 🔢 = 📋.loc["🐍", "💯"] + 📋.loc["🐼", "💯"] print(🔤 * 🔢)
萌是萌...问题是如何输入哪...
)
Events, MeetUp 真的是全球线下活动组织中心
❤️ Happy Pythonic ;-(
大妈私人无责任播报
)
第4期已上线, 为期6周;
191124 报名结束 191201 正式开课 200112 按时结束
(是也乎:
网友 𝙰𝚣𝚎𝚛𝚒𝚕 推荐, 为了心灵...
)
NN 3837
报名入口 -> https://py.101.camp/
蟒营™:Python 入门班||图谱||幻灯||维基
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