Python Weekly (Issue 591 March 9 2023)

Python Weekly - Issue 591

March 09, 2023

Python Weekly

Welcome to issue 591 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

Snyk is hosting a hands-on, virtual workshop to teach you how to solve your first CTF challenge with live support from our team. Build the security skills and experience you need to compete in CTFs and advance your career.

News

DjangoCon US 2023 call for proposals is open. Submit your talk and tutorial proposals by 2023-05-15.

Articles, Tutorials and Talks

Do you want to know how to build a complete Python package? Well, look no further! This video will take you step-by-step through the entire process, from creating your project to publishing it on PyPI.

Your Django project’s startup time impacts how smooth it is to work with. Django has to restart your project every time you run a management command and when runserver reloads. This involves importing all your apps, and thus all the modules that they import. As you add more code and dependencies to your project, you may notice its startup time increasing. Development can slow down to a crawl; reports of 10 second startup times are, sadly, not unusual. In this post we’ll cover tools for profiling startup time, and tactics for reducing it.

In this video we are going to learn how to use Python to automate things for us so we don't have to do them manually. But here's even more interesting thing we will do we will ChatGPT and we will tell Python to use ChatGPT's API or the underlying API that ChatGPT is also using to generate the Python scripts for the two use cases.

Using pex, Serverless Dagster Cloud now deploys 4 to 5 times faster by avoiding the overhead of building and launching Docker images.

In this post, we will explore the Bloom filter — a data structure that is ingenious in its simplicity and elegant in its design

Learn how to build a SaaS from scratch using Django, Tailwind and Stipe as the payment gateway.

One of the main challenges in training large neural networks, whether they are LLMs or VLMs, is that they are too large to fit on a single GPU. To address this issue, their training can be parallelized across multiple GPUs. This means either parallelizing the data or model to distribute computation across several devices. In this post, we'll cover batch splitting, also known as data parallelism, and show how to use JAX's pmap function to parallelize computations across multiple devices.

Data validation is a vital step in any data-oriented workstream. This post investigates and compares two popular Python data validation packages - Pandera and Great Expectations.

Modern MLOps is complex because it involves too many components. You need a message bus, a stream processing engine, an API, a model store, a feature store, a monitoring service, etc. Sadly, containerisation software and the unbundling trend have encouraged an appetite for complexity. I believe MLOps shouldn’t be this complex. For instance, MLOps can be made simpler by bundling the logic into your database. In this post, I want to push this idea, and actually implement a machine learning algorithm within a relational database, using SQL.

When should you use the built-in list(...) function in Python? And when shouldn't you? The list constructor is both underused and overused in Python.

This web programming course from Harvard University picks up where CS50x leaves off. It dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience. You will learn how to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku.

I hear all the time that Python is way too slow. Is it?

Interesting Projects, Tools and Libraries

Unbearably fast near-real-time runtime type-checking in pure Python.

Algorithmic Trading in Python with Machine Learning.

Productivity tool for quickly creating python programs that parse command-line arguments. Stop writing argparse boilerplate code!

An intuitive UI for managing data, for users of all technical skill levels. Built on Postgres.

Course on diffusion generative models in a fast forward mode.

Sushi is a library that allows you to run functions from other languages without needing to translate the code.

ChatGPT in command line with gpt-3.5-turbo api.

New Releases

Upcoming Events and Webinars

Join Pythonistas from around the world for the 5th annual Python Web Conference (March 13-17). Tickets include 5 days, 65+ live talks, expert-led tutorials, social events, an exclusive pass to all conference recordings for 90 days, cool swag and more. Don’t wait, buy your ticket today!

There will be following talks

  • Atri Framework: Open-source web framework for Python developers

  • Beyond GraphGPT: Large Language Models and Prompt Engineering

Join us for a quick primer on the Plotly graph_objects packages to create meaningful and engaging 3D visualizations. 

There will be following talks

  • Feature engineering for machine learning with open-source

  • Fortuna, a Library for Uncertainty Quantification

There will be following talks

  • Dealing with medical images: Common formats, tools, and pitfalls

  • Is Python Packages Management in GxP Environments Mission impossible?

There will be following talks

  • Building a Public-Facing and Low-Maintenance Wordle Solver with Unsupervised Learning 

  • Software to Data: Lessons from a Crash Landing

Our Other Newsletters

 - A free weekly newsletter for programmers.

- A free weekly newsletter for entrepreneurs featuring best curated content, must read articles, how to guides, tips and tricks, resources, events and more.