PyCoder’s Weekly: Issue #530 (June 21, 2022)

#530 – JUNE 21, 2022
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Objects, Functions, Generators, and Coroutines

Although different concepts, objects, functions, generators, and coroutines can be used almost interchangeably because of Python’s dynamic nature. Learn more about how these mechanisms are related and how to switch between them.
DUSTY PHILLIPS

Combining Data in pandas With `concat()` and `merge()`

In this video course, you’ll learn two techniques for combining data in pandas: merge() and concat(). Combining Series and DataFrame objects in pandas is a powerful way to gain new insights into your data.
REAL PYTHONcourse

ButterCMS Melts Into Your Python app. Try the #1 Headless CMS for Python and Django

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Getting Lazy With Python Imports and PEP 690

Talk Python interviews all three authors involved in PEP 690, a proposal to add the ability to delay library importation until time of use.
KENNEDY, MEYER, BRAVO, & WARSAWpodcast

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Most Common Issue You Have Coding With Python?

MATT HARRISON

What’s a Powerful Python Feature That Not Many People Use?

Python Jobs

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Causeway Capital Management LLC

DevOps Engineer (Ann Arbor, MI, USA)

University of Michigan

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University of Michigan

Software Development Lead (Ann Arbor, MI, USA)

University of Michigan

Principal Python Engineer (100% Remote) (San Francisco, CA, USA)

Nira

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Articles & Tutorials

Build Your Python Project Documentation With MkDocs

In this tutorial, you’ll learn how to build professional documentation for a Python package using MkDocs and mkdocstrings. These tools allow you to generate nice-looking and modern documentation from Markdown files and, more importantly, from your code’s docstrings.
REAL PYTHON

Getting the Stack Trace of a Running Python Program

“I recently wanted to examine a multi-threaded Python program, which took a long time to complete, appeared to be stuck, and even crashed occasionally. I was hoping to get the stack trace.” Peter shares the code that solved his problem and how to test with it.
PETER KOGAN

Connect, Integrate, & Automate Your Data—From Python, or Any Other Application or Tool

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Getting Started in Python Cybersecurity and Forensics

Are you interested in a career in security using Python? Would you like to stay ahead of potential vulnerabilities in your Python applications? This week on the show, James Pleger talks about Python information security, incident response, and forensics.
REAL PYTHONpodcast

Tools To Visualize Your Data and System State

This overview covers a variety of tools for visualizing data formats such as JSON, regexes, SQL, and Git history. If that’s not enough, it then goes on to describe tools to better understand your Docker and Kubernetes configurations.
MARTIN HEINZ

Python Logging: Do’s and Don’ts

Python’s logging library can be a daunting to new users, with lots of options and configuration. Learn more about some key things you should and shouldn’t do when using logger.
PALKEO

Utilising Caching in Your Django Applications

Minimizing the number of database calls can have significant performance impacts. Learn about select_related and prefetch_related and how they can improve your Django code.
MARK WALKER

Illustrating the Duality of Closures and Objects

In functional programming languages, closures are used for similar purposes to classes in object oriented languages. Python supports both, learn more about how they compare.
JONATHAN E. MAGEN

Get Started With This PyCharm Debugging Tutorial From Rookout

Need to hit the ground running with a new app in a cool IDE? This tutorial will cover an example of debugging Python in PyCharm, the pros and cons of “remote debugging,” and where a tool like Rookout fills in the gaps on syncing with source code.
ROOKOUTsponsor

Create Dashboards From Jupyter Notebooks

This article shows you how to transform a Jupyter Notebook with stock information into a web-based dashboard using the Mercury framework.
ALEKSANDRA PŁOŃSKA

A Beginner’s Guide to CI/CD and Automation on GitHub

“CI/CD and workflow automation are native capabilities on GitHub platform. Here’s how to start using them and speed up your workflows.”
THE GITHUB BLOG

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