Issue #422

Async Python Tips, The Hypermodern Python Dev Setup, Job Hunting in a Pandemic, and More

May 26, 2020

Async Python Tips, The Hypermodern Python Dev Setup, Job Hunting in a Pandemic, and More
#422 – MAY 26, 2020 VIEW IN BROWSER
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Waiting in asyncio
There are many ways to wait on the results of a coroutine in Python’s asyncio framework. They all have different properties and use cases. In this article, they’ve all been collected in one place to help you figure out which one you need.

Latency in Asynchronous Python
Where does latency in asynchronous programs come from? Explore some common mistakes in asyncio programming, the differences between bounded and unbounded queues, and a suggestion for some best practices for programming with asyncio.

Top 10 Python Tools to Make a Developer’s Life Easier
Do you ever feel like your list of sprint tasks is infinite? ActiveState has curated the top 10 Python tools to automate the most common, repetitive tasks. From web framework to code template creation, make your life easier and focus on your next big project! Check out the top 10 list →

Creating and Modifying PDF Files in Python
Explore the different ways of creating and modifying PDF files in Python. You’ll learn how to read and extract text, merge and concatenate files, crop and rotate pages, encrypt and decrypt files, and even create PDFs from scratch.

Preventing SQL Injection: A Django Author’s Perspective
How do you prevent a SQL injection? Learn about best practices and tools for checking for vulnerabilities in a codebase in this post from Django creator Jacob Kaplan-Moss.

Python Job Hunting in a Pandemic
Do you know someone in the Python community who recently was let go from their job due to the pandemic? What does the job landscape currently look like? What are skills and techniques that will help you in your job search? This week Kyle Stratis discusses how he is managing his job search after just being let go from his data engineering job.

Hypermodern Python
Opinionated guide to setting up a productive Python environment, including recommendations for testing, linting, documentation, and continuous integration.


Renaming Months From Number to Name in Pandas
In a DataFrame indexed by month and day, how do you change the month index from numbers, like 1, to a name, like Jan?

Why Is -11 % 5 Equal to 4?
How well do you know the modulo operator?

Python Jobs

Senior Python Engineer (Remote)

Senior Python Engineer (Remote - US East Coast)

Kubernetes Engineer: Docker, Python, Linux (Remote)

Senior Python Developer (Washington, DC)

More Python Jobs >>>

Articles & Tutorials

Concurrency in Python for Network I/O
What’s the best way to request 20,000 URLs in Python? Compare the performance of synchronous requests, multiprocessing, threading, and asyncio to find out which method is the fastest and why.

Keyword-Only Arguments In Python
Keyword-only arguments have been around for a while in Python, but you don’t see them used very frequently. Learn why keyword-only arguments are useful, and why you might want to start using them in your own code.

The Cloud Python Developers Love
DigitalOcean is the cloud provider that makes it easy for developers to deploy and scale their applications. From Flask and Django apps to JupyterHub Notebook servers, DigitalOcean enables Python developers to focus their energy on creating software →

Python Community Interview With Russell Keith-Magee
Russell Keith-Magee is a Django core developer and the founder and maintainer of the BeeWare project. In the interview, he talks about his mission to help Python become a feasible option for writing and packaging mobile applications, his PyCon 2020 talk, and more.

Debugging a Containerized Django App in VS Code
Learn how to create a VS Code run configuration to attach to a Docker container and modify to start a ptvsd (Python Tools for Visual Studio Debug Server) debug server so that you can debug a containerized Django Project in VS Code.
J-O ERIKSSON • Shared by J-O Eriksson

Profile, Understand & Optimize Python Code Performance
You can’t improve what you can’t measure. Profile and understand Python code’s behavior and performance (Wall-time, I/O, CPU, HTTP requests, SQL queries). Browse through appealing graphs. is now available as Public Beta.

A Beginner’s Guide to Pip
What is pip? In this beginner-friendly course, you’ll learn how to use pip, the standard package manager for Python, so that you can install and manage additional packages that are not part of the Python standard library.

Fil: A New Python Memory Profiler for Data Scientists and Scientists
Fil is a Python memory profiler specifically designed for batch processing applications that read in data, process it, and write out the result.

API Request Caching With Python & Redis
REDOWAN DELOWAR • Shared by Redowan Delowar

Projects & Code

Brought to you by Real Python for Teamssponsor
Online Python training created by a community of experts. Give your team the real-world Python skills they need to succeed →

einsteinpy: Community Python Package for General Relativity

filprofiler: Memory Profiler for Data Batch Processing Applications Written in Python

pdm: Modern Python Package Manager With PEP 582 Support
GITHUB.COM/FROSTMING • Shared by Frost Ming

cascadia-code: Fun, New Monospaced Font That Includes Programming Ligatures

django-grpc-gramework: gRPC for Django
GITHUB.COM/FENGSP • Shared by Shipeng Feng

Happy Pythoning!
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