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Optional Arguments, Fixing a Vulnerability, Code Reviews, and More

#515 – MARCH 8, 2022 VIEW IN BROWSER
The PyCoder’s Weekly Logo
Optional Arguments and Moving Beyond “Beginner” Python
It’s episode 100 of the Real Python Podcast 🎉 This week you’ll learn how to define Python functions that accept optional arguments or default values, and you’ll get tips for going beyond the beginner stage with Python.
REAL PYTHON podcast

How I Found (And Fixed) a Vulnerability in Python
“I decided to deepen my knowledge in this field and explore cache poisoning vulnerabilities in the open source domain. I focused my research on the most popular web frameworks, such as Flask, Bottle, and Tornado. Eventually, I found and fixed a vulnerability in Python.”
ADAM GOLDSCHMIDT

Data Elixir: Data Science Newsletter
Data Elixir is an email newsletter that keeps you on top of the latest tools and trends in Data Science. Covers machine learning, data visualization, analytics, and strategy. Curated weekly with top picks from around the web →
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Code Review Guidelines for Data Science Teams
Although written for Data Science teams, a good article on why any team of coders should do code reviews. How to do them, what to look for, and how to improve your code.
TIM HOPPER

PyCon US 2022 Schedule Published
PYCON.BLOGSPOT.COM

Django 4.0.3 Bug Fix Release
DJANGO SOFTWARE FOUNDATION


Discussions


Your Python 4 Dream List
“If there was to ever be Python 4 (not a minor version increment, but full fledged new Python), what would you like to see in it?”
REDDIT

How to Speed Up the agg of Pandas groupby Bins?
STACK OVERFLOW


Python Jobs


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Python Software Engineer (Anywhere)
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Mid/Senior Django Developer (Brooklyn, NY, USA)
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FLASHPOINT

Senior Backend Engineer Django (UK, Europe)
DATAPANE

Backend Software Engineer (Asia Pacific Region)
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Full Stack Software Engineer Python (United States)
DEEP SENTINEL

Senior Software Engineer (Anywhere)
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Python Trainer (Jakarta, Indonesia)
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More Python Jobs >>>


Articles & Tutorials


Optimizing Memory Usage in Python Applications
“When it comes to performance optimization, people usually focus only on speed and CPU usage. Rarely is anyone concerned with memory consumption, well, until they run out of RAM. There are many reasons to try to limit memory usage, not just avoiding having your application crash because of out-of-memory errors.”
MARTIN HEINZ

A Gentle Introduction to Serialization for Python
Discover how to use two common Python serialization libraries: pickle and HDF5. This article talks about what can be serialized, how to do it, where you can use it, and how to choose between the two methods discussed.
JASON BROWNLEE

Considering a Career in Cyber Security
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Using Higher-Order Containers to Process DataFrames
StaticFrame is an alternative to Pandas that has immutable DataFrames. Learn all about its core containers: Bus, Batch, Quilt, and Yarn, all of which provide abstractions for multi-table datasets.
CHRISTOPHER ARIZA • Shared by Christopher Ariza

Manage Your To-Do Lists Using Python and Django
Use Django to build a to-do list manager app. This step-by-step tutorial will teach you how to use Django’s class-based views to build a powerful app while dramatically reducing your development time.
REAL PYTHON

How and Why I Use Pytest’s xfail
pytest has two different ways of marking a test so that it isn’t run. This article shows the difference between pytest.mark.skip and pytest.mark.xfail and why to use xfail.
PAUL GANSSLE

String Interning in Python
Python optimizes smaller strings. If you assign multiple variables with the same string value, all the variables will refer to the same string underneath. Learn how it works.
REDOWAN DELOWAR • Shared by Redowan Delowar

Find Your Next Tech Job Through Hired
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Python Environment Dependency & Workspace Management
How to install and switch between multiple versions of Python, manage dependencies & virtual environments, and how to reproduce and environment on another machine.
JAN GIACOMELLI

Generating a Word Cloud in Python
Word or text clouds are a common way for analysts to display textural, qualitative, or semantical data analysis. Learn how to build one in Python.
OLGA BEREZOVSKY • Shared by Olga Berezovsky


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 →

django-distill: Static Site Generator Based on Django
GITHUB.COM/MEEB

msgspec: Fast, Friendly JSON & MessagePack Library
JCRISTHARIF.COM • Shared by Jim Crist-Harif

curvipy: Package for Teaching Mathematical Functions, Curves and Linear Transformations
GITHUB.COM/DYLANNALEX

Linux SysOps Handbook
ABDULLAH BARRAK

robox: Simple Library for Exploring/Scraping the Web
GITHUB.COM/DANCLAUDIUPOP • Shared by Dan Claudiu Pop

debugpy: Debug Adapter Protocol for Python
GITHUB.COM/MICROSOFT

Happy Pythoning!
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Older messages

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Tuesday, March 1, 2022

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Tuesday, February 1, 2022

What Is a JIT and How Can Pyjion Speed Up Your Python? #510 – FEBRUARY 1, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo What Is a JIT and How Can Pyjion Speed Up Your Python? How can you can speed

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