Tuesday, February 23, 2021

PyCoder’s Weekly: Issue #461 (Feb. 23, 2021)

#461 – FEBRUARY 23, 2021
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Python Concurrency: The Tricky Bits

An exploration of threads, processes, and coroutines in Python, with interesting examples that illuminate the differences between each.
HAMEL HUSAIN

Why You Really Need to Upgrade Pip

If you’re using an old version of pip, installing the latest version of a Python package might fail—or install in a slower, more complex way. Learn what the problem is exactly, how to solve it, and what causes it.
ITAMAR TURNER-TRAURING

Monitor Python Application Metrics and Distributes Traces in Real Time with Datadog APM

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Datadog’s APM generates detailed flame graphs that will help your teams identify bottlenecks and latency. If an error is spotted, you can easily pivot to related logs and metrics in seconds to troubleshoot without switching tools or contexts. Visualize Python metrics end-to-end with a free trial →
DATADOG sponsor

12 Requests Per Second in Python

How much should we trust framework benchmarks? And to what extent should they influence your choice of technology?
SUADE.ORG

Python & APIs: A Winning Combo for Reading Public Data

Learn what APIs are and how to consume them using Python. You’ll also learn some core concepts for working with APIs, such as status codes, HTTP methods, using the requests library, and much more.
REAL PYTHON

How Python Strings Work

Learn the ins and outs of how Python strings work, with a focus on how text is encoded and represented internally.
VIKTOR SKVORTSOV

Discussions

A Look Back at Python’s First Beta Release

In celebration of Python’s 30th anniversary, Stefane Fermigier has posted the code for Python’s first beta release on GitHub.
TWITTER.COM/SFERMIGIER

Python Jobs

Senior Backend Developer (Berlin, Germany)

orderbird AG

Advanced Python Engineer (Newport Beach, CA, USA)

Research Affiliates

Senior Python Engineer (Remote)

EAB

Web developer (Berlin, Germany)

der Freitag Mediengesellschaft mbh & Co. KG

More Python Jobs >>>

Articles & Tutorials

Happy Birthday, Python, You’re 30 Years Old This Week!

Via interviews with Armin Ronacher, Brett Cannon, and Ewa Jodloski, this piece of technical journalism takes a look at where Python has been, where it is, and where it is going.
THOMAS CLABURN

Python Programming and Numerical Methods: A Guide for Engineers and Scientists

This open-source book from Berkeley discusses numerical methods with Python. Numerical methods are essential for engineering and science, making this book a fantastic resource for folks in STEM fields.
QINGKAI KING, TIMMY SIAUW, ALEXANDRE BAYEN

Last chance! Download Your Free Digital Copy of Distributed Tracing in Practice

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February 28 is the last day to download a digital copy of Distributed Tracing in Practice, published by O’Reilly Media and available at no cost, compliments of Lightstep →
LIGHTSTEP sponsor

Abstract Syntax Trees in Python

Learn about abstract syntax trees (ASTs), some of their use cases, and how to use the ast module in the Python standard library.
ALESSANDRO FINAMORE • Shared by Bob Belderbos

Stochastic Gradient Descent and Deploying Your Python Scripts on the Web

Do you know the initial steps to get your Python script hosted on the web? You may have built something with Flask, but how would you stand it up so that you can share it with others? This week on the show, guest Martin Breuss shares his recent article titled, “Python Web Applications: Deploy Your Script as a Flask App”. David Amos also returns, and he’s brought another batch of PyCoder’s Weekly articles and projects.
REAL PYTHON podcast

Automating Code Performance Testing Now Possible

Performance is a feature, test it as such. Test performance in CI/CD. Validate production deploys. Blackfire offers a robust way to run test scenarios and validate code changes, automatically. Discover Blackfire Builds now. Free 15 days trial.
BLACKFIRE sponsor

Dictionaries and Arrays: Selecting the Ideal Data Structure

Learn about two of Python’s data structures: dictionaries and arrays. You’ll look at multiple types and classes for both of these and learn which implementations are best for your specific use cases.
REAL PYTHON course

Functional Programming in Python: When and How to Use It

Learn what functional programming is, how it’s supported in Python, and how you can use it in your Python code.
REAL PYTHON

Understand Django: Test Your Apps

Learn how to use automated tests to verify the correctness of your Django site.
MATT LAYMAN • Shared by Matt Layman

Adding Charts to Django with Chart.js

Learn how to add interactive charts to Django with Chart.js.
NIK TOMAZIC • Shared by Michael Herman

Projects & Code

Events

PyCon 2021 (Virtual)

May 12 – 18, 2021
PYCON.ORG


Happy Pythoning!
This was PyCoder’s Weekly Issue #461.
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