PyCoder’s Weekly: Subject #613 (Jan. 23, 2024)

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PyCoder’s Weekly: Subject #613 (Jan. 23, 2024)

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23 January 2024

PyCoder’s Weekly: Subject #613 (Jan. 23, 2024)

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#613 – JANUARY 23, 2024
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Python Packaging, One 12 months Later: A Look Again at 2023

It is a follow-on publish to Chris’s article from final yr referred to as Fourteen instruments a minimum of twelve too many. “Are there nonetheless fourteen instruments, or are there much more? Has Python packaging improved in a yr?”
CHRIS WARRICK

Working Python on Air-Gapped Programs

This publish describes operating Python code on a “smooth” air-gapped system, one with out direct web entry. Putting in packages in a clear atmosphere and shifting them to the air-gapped machine has challenges. Learn Ibrahim’s tackle how he solved the issue.
IBRAHIM AHMED

Elevate Your Internet Growth with MongoDB’s Full Stack FastAPI App Generator

Get able to elevate your internet improvement course of with the newly launched Full Stack FastAPI App Generator by MongoDB, providing a simplified setup course of for constructing fashionable full-stack internet functions with FastAPI and MongoDB →
MONGODB sponsor

Add Logging and Notification Messages to Flask Internet Tasks

After you implement the primary performance of an online venture, it’s good to know how your customers work together together with your app and the place they might run into errors. On this tutorial, you’ll improve your Flask venture by creating error pages and logging messages.
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PEP 736: Shorthand Syntax for Key phrase Arguments

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Bias, Toxicity, and Truthfulness in LLMs With Python

How will you measure the standard of a giant language mannequin? What instruments can measure bias, toxicity, and truthfulness ranges in a mannequin utilizing Python? This week on the present, Jodie Burchell, developer advocate for knowledge science at JetBrains, returns to debate methods and instruments for evaluating LLMs With Python.
REAL PYTHON podcast

Postgres vs. DynamoDB: Which Database to Select

This text presents numerous points you could contemplate when selecting a database on your venture – querying, efficiency, ORMs, migrations, and many others. It reveals how issues are approached in a different way for Postgres vs. DynamoDB and contains examples in Python.
JAN GIACOMELLI • Shared by Jan Giacomelli

Constructing with Temporal Cloud Webinar Collection

Hear from our technical staff on how we’ve constructed Temporal Cloud to ship world-class latency, efficiency, and availability for the smallest and largest workloads. Whether or not you’re utilizing Temporal Cloud or self-host, this sequence will likely be stuffed with insights into methods to optimize your Temporal Service →
TEMPORAL sponsor

Python App Growth: In-Depth Information for Product Homeowners

“As with each expertise stack, Python has its benefits and limitations. The important thing to success is to make use of Python on the proper time and in the precise place.” This information talks about what a product proprietor must know to tackle a Python venture.
PAVLO PYLYPENKO • Shared by Alina

HTTP Requests With Python’s `urllib.request`

On this video course, you’ll discover methods to make HTTP requests utilizing Python’s useful built-in module, urllib.request. You’ll check out examples and go over widespread errors, all whereas studying extra about HTTP requests and Python typically.
REAL PYTHON course

Watch out for Deceptive GPU vs CPU Benchmarks

Nvidia has created GPU-based replacements for NumPy and different instruments and guarantees important speed-ups, however the comparability might not be correct. Learn on to be taught if GPU replacements for CPU-based libraries are actually that a lot quicker.
ITAMAR TURNER-TRAURING

Django Migration Information: Computerized Clear-Up

Your Django migrations are piling up in your repo? You wish to clear them up with out a trouble? Take a look at this new package deal django-migration-zero that helps make migration administration a bit of cake!
RONNY VEDRILLA • Shared by Sarah Boyce

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