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Python Programming Leftovers

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Development
  • An overview of structural pattern matching for Python [LWN.net]

    Python's match statement, which provides a long-sought C-like switch statement—though it is far more than that—has now been part of the language for more than six months. One of the authors of the series of Python Enhancement Proposals (PEPs) that described the feature, Brandt Bucher, came to PyCon 2022 in Salt Lake City, Utah to talk about the feature. He gave an overview of its history, some of its many-faceted abilities, a bit about how it was implemented, and some thoughts on its future, in a presentation on April 29, which was the first day of talks for the conference.

    Bucher said that he was studying computer engineering when he encountered Python, which made him realize that he liked developing software a lot more than he liked designing hardware. He got involved in Python core development during that time and has been a core developer for the language for nearly two years at this point. He is now working for Microsoft on the Faster CPython team, though his biggest project to date has been the work on shepherding and implementing structural pattern matching (i.e. match), much of which was done while he was working for Research Affiliates.

  • Modern Python performance considerations [LWN.net]

    There is a lot of work going on right now on speeding up Python; Kevin Modzelewski gave a presentation at PyCon 2022 on some of that work. Much of it has implications for Python programmers in terms of how to best take advantage of these optimizations in their code. He gave an overview of some of the projects, the kinds of optimizations being worked on, and provided some benchmarks to give a general idea of how much faster various Python implementations are getting—and which operations are most affected.

    Modzelewski works at Anaconda on the Pyston "optimized Python interpreter". He wanted to focus on "modern Python" in the talk; there are lots of tips about how to speed up Python code available, but many of those are "not quite as useful anymore". There are some new tips, however, that can be used with these up and coming optimized implementations, which he wanted to talk about.

  • Geometric Mean Pandas

    Working with the python programming language makes everything simple and easier. The python programming language was designed to make the developer’s life easier, which is why even novice and beginner python developers fall in love with programming and development. It is one of the best programming languages for data analysis. Moreover, the python programming language provides libraries that can perform mathematical and statistical computation.

    Geometric means is one of the python pandas functions that is used to calculate the geometric mean of a given set of numbers, list, or DataFrame. This article is designed to demonstrate how to find the geometric mean using pandas in Python.

  • Pandas to LaTeX

    If you are new to the Python programming language, you may not be familiar with the user-friendly behavior of the language. Python is not just user-friendly but extremely popular and can be used for many general purposes. However, the python programming language has not been developed for statistical analysis or graphic designing; with time, it has immensely been used in analyzing data and experimenting and computing statistics. Hence it offers various types of libraries for almost every use case.

    Pandas is one of python’s most popular and general-purpose libraries that is used as a manipulation tool and data analysis. Using Pandas, we can perform various functions and can export, load, or save different formats, which include, LaTeX, Excel, CSV, etc. In this article, we will discuss how to get the DataFrame in the form of a latex document.

  • Python Print Numpy Array with Precision

    Numpy is a Python package that is used to do scientific computations. It offers high-performance multidimensional arrays as well as the tools needed to work with them. A NumPy array is a tuple of positive integers that indexes a grid of values (of the same type). Numpy arrays are quick and simple to grasp, and they allow users to do calculations across vast arrays.

    NumPy has a wide range of methods that can be used in various situations. Set_printoptions() is an example of a numerical range-based function. The set_printoptions() function in Python is used to control how floating-point numbers, arrays, and other NumPy objects are printed. The set_printoptions() method will be discussed in-depth and with examples in this article.

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today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    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.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.