| Orchestrating Large and Small Projects With Apache Airflow |
Have you worked on a project that needed an orchestration tool? How do you define the workflow of an entire data pipeline or a messaging system with Python? This week on the show, Calvin Hendryx-Parker is back to talk about using Apache Airflow and orchestrating Python projects.
REAL PYTHON podcast
Why I Like Nox
tox are multi-environment testing tools. This opinion piece by Hynek compares and contrasts them and explains why increasingly he is using
Simple Observability Tool for Peace of Mind: TelemetryHub by Scout APM
We built TelemetryHub to make observability easy. It’s our goal to provide you with peace of mind by providing a user experience that’s intuitive, easy to use, and allows you to monitor and understand what’s happening inside your application at a glance →
Simulating a Broken DB Connection for Testing in Django
This article covers three different options for effectively testing Django database access and failure recovery when the database connection is not there.
Bleach 6.0.0 Release and Deprecation
Bleach is an HTML sanitizing library. 6.0 has been released, along with the announcement that the package is being deprecated. The library is dependent on html5lib which is no longer maintained, the maintainers of Bleach are giving notice that their package will stop being updated after a year.
PEP 704: Require Virtual Environments by Default
Thoughts on the Python Packaging Ecosystem
There’s been lots of chatter about packaging in Python of late, this discussion centers around Pradyun Gedam’s excellent article. For more on the same topic see last issue’s How to improve Python packaging, or why fourteen tools are at least twelve too many as well.
Breaking the Snake: How Python Went From 2 to 3
This discussion spawned from Diego Crespo’s article of the same name talks about the transition that somehow everyone is still interested in talking about.
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Articles & Tutorials
The Python Standard REPL: Try Out Code and Ideas Quickly
In this tutorial, you’ll learn how to use the Python standard REPL (Read-Eval-Print Loop) to run your code interactively. This tool will allow you to test new ideas, explore and experiment with new tools and libraries, refactor and debug your code, try out examples, and more.
Linear Algebra in Python: Matrix Inverses and Least Squares
In this tutorial, you’ll work with linear algebra in Python. You’ll learn how to perform computations on matrices and vectors, how to study linear systems and solve them using matrix inverses, and how to perform linear regression to predict prices based on historical data.
Need Your MEAN and MERN Applications to Run as Fast as Possible
In this new e-book from Redis, we share three popular design patterns that developers use with Redis to improve application performance with MEAN and MERN stack applications. →
Distance and Proximity Analysis in Python
“Spatial data science projects frequently require the calculation of proximity to resources.” This article shows you how to calculate proximity in Python code using two different techniques: Euclidean and driving times. Examples use
20 Things I’ve Learned in My 20 Years as a Software Engineer
Justin writes a list of things he has learned over his past 20 years in development. He starts by stating how context is important and that his lessons are from small teams with an emphasis on productivity and being tool agnostic.
An Open Source Python Project CI Pipeline
This posting describes Brenton’s Python Continuous Integration (CI) pipeline setup, from using a pyproject.toml file, to the tools such as black and coverage he uses, to GitHub actions to glue it all together.
Python Bindings for Performance Optimization
“This article describes techniques to accelerate a Python codebase by exposing parallelized C++ functions using PyBind.” The example in the article achieves a 3x speed-up through this technique.
So, Single (
') or Double (
") Quotes in Python?
The article addresses the following question. Many claim you should prefer single over double quotes in Python. Should you?
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Connect, Integrate & Automate Your Data - From Python or Any Other Application
At CData, we simplify connectivity between the application and data sources that power business, making it easier to unlock the value of data.
Replacing Pandas With Polars. A Practical Guide
Polars is becoming a popular alternative to Pandas. This article compares the two and shows you a path to Polars.
The Zen of Proverbs
Inspired by the Zen of Python and similar lists, this is list of Zen Proverbs for programming.
Projects & Code
Brought to you by Real Python for Teamssponsor
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ipyflow: IPython Kernel for Jupyter
monorepo: A Spreadsheet Inside Your JupyterLab Notebooks
fugue: Unified Interface for Distributed Computing
python-benedict: Dict Subclass With Keylist/Keypath Support
sematic: An Open-Source ML Pipeline Development Toolkit