Python has incredibly scalable options for exploring data. With Pandas or Dask, you can scale Jupyter up to big data. But what about small data? Personal data? Private data? [JupyterLab and Jupyter Notebook provide a great environment to scrutinize my laptop-based life.
Just took note of this tool, although I didn't try it out and I would be rather scared of a script that goes through my mailbox and deletes things...
The most intuitive way of building and implementing Finite State Machines is by using Python Coroutines and in this article, we find how and why.
If you’re looking to get into ethical hacking, getting acquainted with Python is a great start. They discuss Python and ethical hacking and reveal the best online courses you can take to start training in the field.
Atbswp is a new graphical utility (Python3) that can be used to record the mouse and keyboard events, and reproduce (play) them identically as many times as you want by either clicking a button or saving it as a script and running it without having to relay on Atbswp.
How a Python function relates to a two thousand year old debate in philosophy
The C10k problem is still a puzzle for a programmer to find a way to solve it. Generally, developers deal with extensive I/O operations via thread, epoll, or kqueue to avoid their software waiting for an expensive task. However, developing a readable and bug-free concurrent code is challenging due to data sharing and job dependency. Even though some powerful tools, such as Valgrind, help developers to detect deadlock or other asynchronous issues, solving these problems may be time-consuming when the scale of software grows large. Therefore, many programming languages such as Python, Javascript, or C++ dedicated to developing better libraries, frameworks, or syntaxes to assist programmers in managing concurrent jobs properly. Instead of focusing on how to use modern parallel APIs, this article mainly concentrates on the design philosophy behind asynchronous programming patterns.
Asciimatics is a package to help people create full-screen text UIs (from interactive forms to ASCII animations) on any platform.
Python development configuration for vim.
Speaking as a maintainer of Mercurial and an avid user of Python, I feel like the experience of making Mercurial work with Python 3 is worth sharing because there are a number of lessons to be learned.
Python haters always say, that one of reasons they don't want to use it, is that it's slow. Well, whether specific program - regardless of programming language used - is fast or slow is very much dependant on developer who wrote it and their skill and ability to write optimized and fast programs.
So, let's prove some people wrong and let's see how we can improve performance of our Python programs and make them really fast!
Exploring and understanding Python through surprising snippets.
Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python.
PyLint, Rope, Pydoc, breakpoints from box.