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Programming With Python

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Development

  • Top 10 Python Libraries that Every Data Scientist Must Know

    Python is one of the most popular and widely known programming languages that has replaced many programming languages in the industry. It is one of the most loved programming languages that data science professionals use more because it is an ocean of libraries.

    Python is known as the beginner’s level programming language because of its simplicity and easiness, its programming syntax is simple to learn and is of high level compared to C, Java, and C++.

    For more accurate algorithms and coding, Analytics Insight compiles the top 10 Python libraries, here is the list-

  • Why Python is not the programming language of the future -- a response

    See https://towardsdatascience.com/why-python-is-not-the-programming-language-of-the-future-30ddc5339b66.

    This is an interesting article with some important points. And. It has some points that I disagree with.

    Speed. This is a narrow perspective. numpy and pandas are fast, dask is fast. A great many Python ecosystem packages are fast. This complaint seems to be unsupported by evidence.

    Dynamic Scoping Rules. This actually isn't the problem. The problem is something about not being able to change containing scopes. First, I'm not sure changing nesting scopes is of any value at all. Second, the complaint ignores the global and nonlocal statements. The vague "leads to a lot of confusion" seems unsupported by any evidence.

    Lambdas. The distinction between expressions and statements isn't really a distinction in Python in general, only in the bodies of lambdas. I'm not sure what the real problem is, since a lambda with statements seems like a syntactic nightmare better solved with an ordinary, named function.

    Whitespace. Sigh. I've worked with many people who get the whitespace right but the {}'s wrong in C++. The code looks great but doesn't work. Python gets it right. The code looks great and works.

  • How to Extract Sentences from Text Using the NLTK Python Module

    The Natural Language Toolkit (NLTK) is a language and text processing module for Python. NLTK can analyze, process, and tokenize text available in many different languages using its built-in library of corpora and large pool of lexical data. Python is one of the most popular programming languages used in data science and language processing, mainly due to the versatility of the language and the availability of useful modules like NLTK. This article will explain how to extract sentences from text paragraphs using NLTK. The code in this guide has been tested with Python 3.8.2 and NLTK 3.4.5 on Ubuntu 20.04 LTS.

  • I Wrote an Online Escape Game

    I’m an escape room enthusiast, some may say addict, and for the past few months I’ve been missing it. A friend of mine, a true addict with over 500 rooms to his name, started organizing online competitions. After playing a few of the online games, I thought, “I want to build my own.”

    So for that past couple of months I’ve been writing an online escape game — which you could say is a web puzzle game, but with the exciting flare of escape! It’s suitably called “Prototype”. I assumed that name would let me get away with some rough edges. This will be an evolving project, but the first installment is a success.

    I’m proud of my game. I want to tell you how I made it.

  • Newsletter August 2020

    This month we kept refining existing features to improve the user experience, smooth workflows and empower users.

  • Python ASGI CLI
  • Weekly Python StackOverflow Report: (ccxxxviii) stackoverflow python report
  • A Hundred Days of Code, Day 023, Day 24 - Tiny Utility to do comparative DNS Lookups

More in Tux Machines

digiKam 7.7.0 is released

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. Read more

Dilution and Misuse of the "Linux" Brand

Samsung, Red Hat to Work on Linux Drivers for Future Tech

The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. Read more

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.