Python/ django

An introduction to Pydbantic — a single model solution to Data Verification & Storage https://itnext.io/an-introduction-to-pydbantic-a-single-model-solution-to-data-verification-storage-254cfe9e757f @pythonl

Empty a Dictionary in Python https://www.pythonforbeginners.com/basics/empty-a-dictionary-in-python @pythonl

A Gentle Introduction to Serialization for Python https://machinelearningmastery.com/a-gentle-introduction-to-serialization-for-python/ @pythonl

How to create a generator function https://www.pythonmorsels.com/how-to-create-a-generator-function/ @pythonl

Python List index() https://itsmycode.com/python-list-index/ @pythonl

Argos Translate Open-source offline translation library written in Python Github: https://github.com/argosopentech/argos-translate Docs: https://argos-translate.readthedocs.io/en/latest/ Project: https://www.argosopentech.com/ @pythonl

Intersection of Lists in Python https://www.pythonforbeginners.com/basics/intersection-of-lists-in-python @pythonl

Hello everyone. My name is Andrew and for several years I've been working on to make the learning path for ML easier. I wrote a manual on machine learning that everyone understands - Machine Learning Simplified Book. The main purpose of my book is to build an intuitive understanding of how algorithms work through basic examples. In order to understand the presented material, it is enough to know basic mathematics and linear algebra. After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical professionals. And for those who find the theoretical part not enough - I supplemented the book with a repository on GitHub, which has Python implementation of every method and algorithm that I describe in each chapter. You can read the book absolutely free at the link below: -> https://themlsbook.com I’ve also started my Instagram page - feel free to subscribe! it’s mostly in Russian but I’ll be posting in English too. -> https://instagram.com/5x12

⬛️ Test-Driven Data Analysis (Python TDDA library) Code: https://github.com/tdda/tdda Docs: http://tdda.readthedocs.io @pythonl

📖 How to Download Books Concurrently from Project Gutenberg https://superfastpython.com/threadpoolexecutor-download-books/ @pythonl

How to Deploy a Jupyter Notebook to Docker https://dev.to/edemgold/how-to-deploy-a-jupyter-notebook-to-docker-4glb @pythonl

Deploying a Django Application to Elastic Beanstalk https://testdriven.io/blog/django-elastic-beanstalk/ @pythonl

Select Random Element from A List in Python https://www.pythonforbeginners.com/basics/select-random-element-from-a-list-in-python @pythonl

Web Scraper with Python in 5 Minutes https://www.kdnuggets.com/2022/02/build-web-scraper-python-5-minutes.html @pythonl

How to Use MySQL Connector/Python https://www.pythonforbeginners.com/code-snippets-source-code/how-use-mysql-connectorpython @pythonl

«Лаборатория Касперского» ищет аналитиков информационной безопасности со знанием Python/PHP/Perl и опытом в ИБ от 3-х лет. 1. Senior Security Services Analyst — будет оказывать аналитическую поддержку проектов по security assessment: пентесты, веб анализ, ред тим, социальная инженерия. 2. Аналитик по утечкам данных — будет отслеживать тематические ресурсы, в том числе сегмента deep web, darknet, чтобы изучать новые схемы совершения противоправных действий в Интернете. А еще — работать с threat intelligence данными, проводить исследования на основе входных данных от заказчика, совершенствовать методологическую базу сбора и анализа данных. 3. Digital Footprint Analyst — будет собирать информацию из множества источников, анализировать ее и подготавливать отчеты об угрозах для заказчиков. Переходите по ссылкам и присоединяйтесь к команде лучших экспертов.

10 Unknown Security Pitfalls for Python https://blog.sonarsource.com/10-unknown-security-pitfalls-for-python @pythonl