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Python Programming Leftovers

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Development
  • Python Modules and Packages: An Introduction

    In this course, you’ll learn about Python modules and Python packages, two mechanisms that facilitate modular programming.

    Modular programming is the process of breaking a large, unwieldy programming task into separate, smaller, more manageable subtasks or modules. Individual modules can then be put together like building blocks to create a larger application.

    Learn how to write and import modules so you can optimize the structure of your own programs and make them easier to maintain and grow.

  • PyCoder’s Weekly: Issue #405 (Jan. 28, 2020)
  • Why Should You Use typing In Python?

    I am using typing at my work project and now trying to use it for my personal or freelance projects only if it is not a one-time script. No sense to invest time in the 15-minute thing. And why you should use it too.
    Lots of people like Python because it provides a fast way to build software. But on the other hand, after some time of the team development, it can be hard to understand the code for the team members. Especially, for the new ones.
    I do personally believe that it increases the readability of the code. Seems to me that it is even more about self-documenting the code, not about the type checking. However, yes, it helps to find some obvious bugs.
    My favorite example is a variable called data. Is it a list? Or maybe a dict? Or maybe something custom? Looks like that you need to invest some time in figuring this out. And probably repeat it one more time in a month or two.

  • Text Classification with BERT Tokenizer and TF 2.0 in Python

    This is the 23rd article in my series of articles on Python for NLP. In the previous article of this series, I explained how to perform neural machine translation using seq2seq architecture with Python's Keras library for deep learning.

    In this article we will study BERT, which stands for Bidirectional Encoder Representations from Transformers and its application to text classification. BERT is a text representation technique like Word Embeddings. If you have no idea of how word embeddings work, take a look at my article on word embeddings.

    Like word embeddings, BERT is also a text representation technique which is a fusion of variety of state-of-the-art deep learning algorithms, such as bidirectional encoder LSTM and Transformers. BERT was developed by researchers at Google in 2018 and has been proven to be state-of-the-art for a variety of natural language processing tasks such text classification, text summarization, text generation, etc. Just recently, Google announced that BERT is being used as a core part of their search algorithm to better understand queries.

    In this article we will not go into the mathematical details of how BERT is implemented, as there are plenty of resources already available online. Rather we will see how to perform text classification using the BERT Tokenizer. In this article you will see how the BERT Tokenizer can be used to create text classification model. In the next article I will explain how the BERT Tokenizer, along with BERT embedding layer, can be used to create even more efficient NLP models.

    Note: All the scripts in this article have been tested using Google Colab environment, with Python runtime set to GPU.

  • PyCharm 2020.1 EAP starts now

    There are two types of people in the world: those who can wait to open a package they’ve received, and people like me, who need to see what’s inside this very second.

    PyCharm isn’t delivered in the mail though, and that’s why we have something even better for impatient people. The early access program (EAP) shows you what’s in the package a couple months before you get it. Take a sneak peek, and get PyCharm’s first EAP now!

  • Webinar Recording: “Advanced Debugging in PyCharm”

    Last week we held a special webinar for “Advanced Debugging in PyCharm”. Special how? In person, in the St. Petersburg office, with the two PyCharm team members in charge of the debugger, and a huge webinar audience. The recording is now available.

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.