~ 文章, Blog, 教程...

Flit is a simple way to Package and deploy Python projects on PyPI, Flit makes it easier by using a simple flit.ini file and assumes common defaults to save your time and typing. I knew about Flit when I was taking a look at Mariatta Wijaya game called Tic Tac Taco Pizza and noticed that she used flit to deploy the game, so we also asked her the reason for using this on the podcast we recorded so I decided to try porting my projects to Flit.

This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.

Python has a function called sys.getrefcount() that tells you the reference count of an object.

Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn machine learning library as our predictive tool.

Part 2 of 3: The “Docker repo” pattern. Note - Very informative and detailed article for those looking to bring CI + docker into their workflow.


城会玩 ->

CI-with-Docker-on-TravisCI.png(PNG 图像,705x365 像素)


How do Bitcoin markets behave? What are the causes of the sudden spikes and dips in cryptocurrency values? Are the markets for different altcoins inseparably linked or largely independent? How can we predict what will happen next?


数字货币交易市场越来越兴旺, 而且数据是公开的, 值得分析 )

Analyzing your sensor data has always been a daunting task and putting your data in the Dashboard has never been an easy task. In this article, we will see how using Python Flask, Pandas and MongoDB you can develop an Analytical Dashboard over a weekend.



有用, 但还是丑...


Mimesis is a fast and easy to use library for Python, which helps generate mock data for a variety of purposes (see "Data providers") in a variety of languages (see "Locales"). This data can be particularly useful during software development and testing. The library was written with the use of tools from the standard Python library, and therefore, it does not have any side dependencies.


不是 erlang 那个内置 DB 哪... 能模拟各种语言数据集的工具...




we will start building a system that uses the profile of the given user and provide recommendation completely based on that user’s preference and liking.

Bayes Theorem describes the probability of an event, based on prior knowledge of conditions be related of conditions to the event. So it basically fits perfectly for machine learning, because that is exactly what machine learning does: making predictions for the future based on prior experience.




Matplotlib is a great and very capable plotting library for Python.


可惜一直没有解决互联网时代的直接输出需求... )

Data sets are not perfect. Sometimes they end up with invalid, corrupt, or missing values. For the project I was working on, I could not have any values that are null or empty. This How-To will walk you through writing a simple Python script to see if your data set has null or empty values, and if so, it will propose two options for how to modify your data.

I will share you about how using Dataframe of PySpark as Dataframe of Python.

I will outline the process I typically follow to dig deeper into aspects of the python programming language I am curious about.

This document is intended to Storepilots employees, but worth the read.

This PEP describes additions to the Python API and specific behaviors for the CPython implementation that make actions taken by the Python runtime visible to security and auditing tools. The goals in order of increasing importance are to prevent malicious use of Python, to detect and report on malicious use, and most importantly to detect attempts to bypass detection. Most of the responsibility for implementation is required from users, who must customize and build Python for their own environment.







Nuitka is a Python compiler. It's fully compatible with Python 2.6, 2.7, 3.2, 3.3, 3.4, 3.5, and 3.6. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.


又一个 编译器, 可以递归的将 python 脚本以及依赖库编译成单一 .exe

但是,类似 Qt/OpenCV/numpy/pandas/... 巨型模块, 就别想了...


IPython magic command to profile and view your python code as a heat map using py-heat.






~ 包/模块/库/片段...

  • raven
    • 133 Stars, 20 Fork

raven is a Linkedin information gathering tool that can be used by pentesters to gather information about an organization employees using Linkedin.




generates .clang-format file from example codebase

A short tutorial on performing fine tuning or transfer learning in PyTorch.


第一波 PyTorch 教程 )

A Human–Friendly API Service for Crypto Currency Information.


数字货币的二级工具 )

A tiny and cute URL fuzzer.


对于各种新生的域名不知道是否 hold 了


  • argo
    • 16 Stars, 13 Fork

Get stuff done with container-native workflows for Kubernetes.


K8s 的辅助工具


A curated list of awesome packages, articles, and other cool resources from the API Star community.


这个组件的生态嗯哼的也忒快了... )

extract the date of HTML documents.


提取页面中的日期信息...不支持中文的,当然 )

Postgres Materialized View Dependency Manager.


Pg 的辅助工具...很久没见有新 )

Python library for finding phone numbers in random user input text.


实用, 但是,不包含中国的... )

( ̄▽ ̄)

~ 抢在珠海第二波台风来袭, 前嗯哼出来

  • PyConChina2017 议题征集开始
    • 申报表单:





  • 上海(约400人参加),预计7个主题演讲(每个40分钟),7个快速演讲(每个10分钟)。
  • 杭州(约200人参加),预计7个主题演讲(每个40分钟)


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. )



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