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Python Programming

Submitted by Roy Schestowitz on Wednesday 28th of October 2020 10:54:00 PM Filed under
Development
  • Dissecting a Web stack - The Digital Cat

    Having recently worked with young web developers who were exposed for the first time to proper production infrastructure, I received many questions about the various components that one can find in the architecture of a "Web service". These questions clearly expressed the confusion (and sometimes the frustration) of developers who understand how to create endpoints in a high-level language such as Node.js or Python, but were never introduced to the complexity of what happens between the user's browser and their framework of choice. Most of the times they don't know why the framework itself is there in the first place.
    The challenge is clear if we just list (in random order), some of the words we use when we discuss (Python) Web development: HTTP, cookies, web server, Websockets, FTP, multi-threaded, reverse proxy, Django, nginx, static files, POST, certificates, framework, Flask, SSL, GET, WSGI, session management, TLS, load balancing, Apache.
    In this post, I want to review all the words mentioned above (and a couple more) trying to build a production-ready web service from the ground up. I hope this might help young developers to get the whole picture and to make sense of these "obscure" names that senior developers like me tend to drop in everyday conversations (sometimes arguably out of turn).
    As the focus of the post is the global architecture and the reasons behind the presence of specific components, the example service I will use will be a basic HTML web page. The reference language will be Python but the overall discussion applies to any language or framework.
    My approach will be that of first stating the rationale and then implementing a possible solution. After this, I will point out missing pieces or unresolved issues and move on with the next layer. At the end of the process, the reader should have a clear picture of why each component has been added to the system.

  • Introducing AutoScraper: A Smart, Fast and Lightweight Web Scraper For Python | Codementor

    In the last few years, web scraping has been one of my day to day and frequently needed tasks. I was wondering if I can make it smart and automatic to save lots of time. So I made AutoScraper!

  • django-render-block 0.8 (and 0.8.1) released!

    A couple of weeks ago I released version 0.8 of django-render-block, this was followed up with a 0.8.1 to fix a regression.

    django-render-block is a small library that allows you render a specific block from a Django (or Jinja) template, this is frequently used for emails when you want multiple pieces of an email together in a single template (e.g. the subject, HTML body, and text body), but they need to be rendered separately before sending.

  • Pyston v2: 20% faster Python | The Pyston Blog

    We’re very excited to release Pyston v2, a faster and highly compatible implementation of the Python programming language. Version 2 is 20% faster than stock Python 3.8 on our macrobenchmarks. More importantly, it is likely to be faster on your code. Pyston v2 can reduce server costs, reduce user latencies, and improve developer productivity.

    Pyston v2 is easy to deploy, so if you’re looking for better Python performance, we encourage you to take five minutes and try Pyston. Doing so is one of the easiest ways to speed up your project.

  • Pyston v2 Released As ~20% Faster Than Python 3.8 - Phoronix

    Version 2.0 of Pyston is now available, the Python implementation originally started by Dropbox that builds on LLVM JIT for offering faster Python performance.

    Pyston developers believe their new release is about 20% faster than the standard Python 3.8 and should be faster for most Python code-bases.

  • Python int to string – Linux Hint

    Python is one of the universal languages that support various types of data types like integer, decimal point number, string, and complex number. We can convert one type of data type to another data type in Python. This data type conversion process is called typecasting. In Python, an integer value can easily be converted into a string by using the str() function. The str() function takes the integer value as a parameter and converts it into the string. The conversion of int to string is not only limited to the str() function. There are various other means of int to string conversion. This article explains the int to string conversion with various methods.

  • Python isinstance() Function – Linux Hint

    Python is one of the best and efficient high-level programming languages. It has a very straightforward and simple syntax. It has very built-in modules and functions that help us to perform the basic tasks efficiently. The Python isinstance() function evaluates either the given object is an instance of the specified class or not.

»

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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

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  • 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.

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