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Python Leftovers

Submitted by Roy Schestowitz on Wednesday 18th of December 2019 06:45:36 PM Filed under
Development
  • Using pyenv to manage your Python interpreters

    This article was published at Using pyenv to manage your Python interpreters .
    If you are reading this on any other page, which is not some “planet” or aggregator, you are reading stolen content. Please read this article at its source, which is linked before to ensure to get the best reading experience; thank you!

    When I started to learn Python a few years ago, I often wondered about what’s the “correct” or “best” way to prepare your system’s Python environment for the requirements your software project or some Python-based application you’d like to start using may have: Should I install modules using the package manager of my OS? Or by using Python tools for it like pip? What are “virtual environments” and how do I utilize these for my projects? What’s all this pyenv, pip, pipenv, easy_install, setuptools, anaconda, conda, miniconda …

    In this article series, I’d like to introduce the most common tools and techniques on how to do this in the Python world.
    At the end of the series, I will share some of my thoughts, doubts, and questions I had back then, tell about some experiences I gathered in the meantime and generally share the outcome of this journey and what my Python-Workflow looks like, nowadays.

  • Python Data Weekly Roundup – Dec 18 2019

    This is a very good ‘how to’ for beginners to learn to tweak the Matplotlib visualization library. This article explains how to tweak matplotlib charts including changing the size, removing borders, changing colors and widths of chart lines. Each tweak includes python code to make the tweaks.

  • HPy kick-off sprint report

    Recently Antonio, Armin and Ronan had a small internal sprint in the beautiful city of Gdańsk to kick-off the development of HPy. Here is a brief report of what was accomplished during the sprint.

  • Run Python Versions in Docker: How to Try the Latest Python Release

    There’s always a new version of Python under development. However, it can be cumbersome to compile Python yourself to try out a new version! As you work through this tutorial, you’ll see how to run different Python versions using Docker, including how you can have the latest alpha running on your computer within minutes.

    [...]

    Docker is a platform for running containers with prepackaged applications. It’s a very powerful system that’s particularly popular for packaging and deploying applications and microservices. In this section, you’ll see the fundamental concepts you’ll need to know to use Docker.

  • A Failed SaaS Postmortem

    My Software as a Service failed. After three years of running College Conductor, I’m shutting it down. The service failed for a host of reasons, and this article details what I learned from the whole experience. This is a chance for me to reflect, and give you some ideas of what pitfalls can happen if you’re planning to build a SaaS.

    [...]

    My initial plan sounded simple: build an app that would track schools and admissions deadlines.

    In the spirit of doing things that don't scale, I planned to get as many US colleges and universities as I could into a database. From there, I would operate as the Wizard of Oz and manually look up the admissions deadlines for a school whenever my wife added the school to a student’s list. (Adding the school to a list would trigger a “back office” task to inform me that I had work to do.) To me, this felt like the scrappy kind of attitude that I needed to build something quickly.

  • Django security releases issued: 3.0.1, 2.2.9, and 1.11.27

    In accordance with our security release policy, the Django team is issuing Django 3.0.1, Django 2.2.9 and Django 1.11.27. These release addresses the security issue detailed below. We encourage all users of Django to upgrade as soon as possible.

    CVE-2019-19844: Potential account hijack via password reset form

    By submitting a suitably crafted email address making use of Unicode characters, that compared equal to an existing user email when lower-cased for comparison, an attacker could be sent a password reset token for the matched account.

    In order to avoid this vulnerability, password reset requests now compare the submitted email using the stricter, recommended algorithm for case-insensitive comparison of two identifiers from Unicode Technical Report 36, section 2.11.2(Cool(2). Upon a match, the email containing the reset token will be sent to the email address on record rather than the submitted address.

  • Python profiling data

    This post is an attempt to document what's in profile.out, since the python documentation does not cover it. I have tried to figure this out by looking at the sources of the pstats module, the sources of gprof2dot, and trying to make sense of the decoded structure, and navigate it.

  • How to Plot a Histogram in Python

    Plotting a histogram in python is very easy. I will talk about two libraries - matplotlib and seaborn. Plotting is very easy using these two libraries once we have the data in the Python pandas dataframe format.

  • Precise Unit Tests with PyHamcrest

    Unit test suites help maintain high-quality products by signaling problems early in the development process. An effective unit test catches bugs before the code has left the developer machine, or at least in a continuous integration environment on a dedicated branch. This marks the difference between good and bad unit tests: good tests increase developer productivity by catching bugs early and making testing faster. Bad tests decrease developer productivity.

    Productivity decreases when testing incidental features. The test fails when the code changes, even if it is still correct. This happens because the output is different, but in a way that is not part of the function's contract.

    A good unit test, therefore, is one that helps enforce the contract to which the function is committed.

»

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    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

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  • How To Install MongoDB on AlmaLinux 9 - idroot

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