Ready to take your web app to the full stack? We'll be integrating the amazing SvelteKit javascript framework with an easy-to-use Backend as a Service platform called Backendless. This is the first of multiple tutorials for building out a full Svelte + Backendless app. Our final product will include:

- Login, logout, and register features
- Tailwind + Daisy UI for styling
- Private routes and database updates

https://dev.to/brewhousedigital/integrating-sveltekit-with-backendless-3gip

Создавайте 3D-визуальные эффекты в Vue с помощью Lunchbox.js

Lunchbox.js — это пользовательский рендерер для Three.js, который упрощает работу с ним. И он отлично сочетается с Vue. В этой статье вы узнаете всё, что нужно, чтобы начать создавать крутые 3D-визуальные эффекты:

https://blog.logrocket.com/build-3d-visuals-vue-lunchbox-js

#vue #lunchbox

Coroutines (practical)

https://tacaswell.github.io/coroutines-i.html

What is closure in Python
We will learn about nested function, closure and nonlocal

https://medium.com/@SergiAlfonso/what-is-closure-in-python-7eec3e663b4b

Hey, there 👋
I've started Telegram channel about POSIX, Git, Ci, Ansible, Terraform and everything related to the administrative tasks. And if this channel is more personal bookmarks on a topic, then Tux will be a real small channel. With regular updates and descriptions.

Subscribe 😊!
https://t.me/tuxua
#DevOps #linux #ci_cd

Never Use Print() To Debug Your Python Code
Why I stopped using print() statements for debugging and why you should too

https://towardsdatascience.com/introducing-icecream-never-use-print-to-debug-your-python-code-again-d8f2e5719f8a

How to Structure a Data Science Project for Readability and Transparency
And How to Create One in One Line of Code
Motivation
It is important to structure your data science project based on a certain standard so that your teammates can easily maintain and modify your project.

https://towardsdatascience.com/how-to-structure-a-data-science-project-for-readability-and-transparency-360c6716800

Apache Kafka в цепочке поставок в пищепроме и ритейле

Цепочка поставок в пищевой промышленности и ритейле — это сложная, медленная и ненадёжная система. В этой статье мы рассмотрим развёртывание Apache Kafka для обработки данных в реальном времени в таких сферах, как производство, логистика, розничная торговля, доставка, рестораны и другие части бизнеса. Это будут примеры из настоящих компаний: Walmart, Albertsons, Instacart, Domino’s Pizza, Migros и т. д.
Читать дальше

Читать: https://habr.com/ru/post/689460/?utm_campaign=689460

Awesome Software and Architectural Design Patterns

A curated list of software and architecture related design patterns.

https://github.com/DovAmir/awesome-design-patterns

My favorite Github project template for data science projects

TLDR:
In this story, I am sharing a git project structure that I often use as a starting point for data science projects and talk about few packages that could help organize code. I also implement a basic version of a CI pipeline that allows to automatize code quality analysis.

https://medium.com/@kaislar17/mlops-my-favorite-github-project-template-for-data-science-projects-2edda25099cd

Learning Python and SQL is one of the best ways to land a job in Data Science.
🧵

https://twitter.com/chrisstaud/status/1584430472876040192?

A Gentle Introduction to Graph Neural Networks

Neural networks have been adapted to leverage the structure and properties of graphs. We explore the components needed for building a graph neural network - and motivate the design choices behind them.

https://distill.pub/2021/gnn-intro/

10 MLOps Projects Ideas for Beginners to Practice in 2022

Collection of interesting MLOps projects ideas for practice to kickstart your journey towards becoming an MLOps engineer in 2021.

https://www.projectpro.io/article/mlops-projects-ideas/486

Data Classes
This module provides a decorator and functions for automatically adding generated special methods such as init() and repr() to user-defined classes. It was originally described in PEP 557.
- https://docs.python.org/3/library/dataclasses.html

Support for enumerations

- is a set of symbolic names (members) bound to unique values
- can be iterated over to return its members in definition order
- uses call syntax to return members by value
- uses index syntax to return members by name
- https://docs.python.org/3/library/enum.html

Efficient Python Tricks and Tools for Data Scientists

The goal of this book is to spread the awareness of efficient ways to do Python. They include:

- efficient methods and libraries to work with iterator, dictionary, function, and class
- efficient methods to work with popular data science libraries such as pandas and NumPy
- efficient tools to incorporate in a data science project
- efficient tools to incorporate in any project
- efficient tools to work with Jupyter Notebook.

#book #python #datascience
https://khuyentran1401.github.io/Efficient_Python_tricks_and_tools_for_data_scientists/README.html

Humanities Data Analysis: Case Studies with Python is a practical guide to data-intensive humanities research using the Python programming language.

The book, written by Folgert Karsdorp, Mike Kestemont and Allen Riddell, was originally published with Princeton University Press in 2021 (for a printed version of the book, see the publisher’s website), and is now available as an Open Access interactive Juptyer Book.

#book #python #datascience
https://www.humanitiesdataanalysis.org/index.html

Create a Maintainable Data Pipeline with Prefect and DVC

Make Your Pipelines Easier to Support and Maintain

#python #pipelline
https://towardsdatascience.com/create-a-maintainable-data-pipeline-with-prefect-and-dvc-1d691ea5bcea

Goodbye os.path
15 Pathlib Tricks to Quickly Master The File System in Python

Pathlib came out in Python 3.4 as a replacement for the nightmare that was os.path. It also marked an important milestone for Python language on the whole: they finally turned every single thing into an object (even nothing).

#python #tricks
https://towardsdatascience.com/goodbye-os-path-15-pathlib-tricks-to-quickly-master-the-file-system-in-python-881213ca7c21