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#pythonprogramming

6 posts5 participants0 posts today
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pipTrends

If you use Jupyter notebooks often, you’ve probably faced issues like small edits leading to big Git diffs or difficulties reusing code across notebooks. Marimo is a good alternative that tackles these problems. In this article, Akshay, Myles and Dylan explained how Marimo solves these issues.

marimo.io/blog/python-not-json

Reinventing notebooks as reusable Python programs
marimo.ioReinventing notebooks as reusable Python programsDesigning a Python notebook that blends the best parts of interactive computing with the sanity of code
#python#Programming#PythonProgramming
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pipTrends

We all know that SELECT * FROM table_name is less efficient than selecting specific columns. The same applies to Django ORM, where you can optimize application performance using defer() and only(). If you want to learn how to use them, check out this article by Nik Tomazic.

testdriven.io/blog/django-quer

A white rectangle displaying the article title, "Django Query Optimization - Defer, Only, and Exclude", and a byline featuring Nik Tomazic.
testdriven.ioDjango Query Optimization - Defer, Only, and ExcludeIn this article, we'll look at the differences between Django QuerySet's defer, only, and exclude methods.
#python#Programming#PythonProgramming
Public
pipTrends

Hot-reloading in Python can be slow since the entire server process must be restarted from scratch. The Tach package speeds this up by building a dependency map. Evan Doyle explained how it works with an interesting example.

gauge.sh/blog/how-to-build-hot

www.gauge.shHow to build Hot Module Replacement in Python - Gauge - Solving the monolith/microservices dilemmaDependency Maps enable HMR in Python Gauge is solving the monolith/microservices dilemma. We’re building tools to untangle codebases through incremental modularization. Our open-source toolkit supports defining and enforcing rules for interfaces and dependencies. By focusing on high cohesion and loose coupling, you can unlock a codebase that your engineers and AI love to work in. Improve quality and developer velocity at the same time.
#python#Programming#PythonProgramming
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