Issue #420

Python Performance, Moving Django Models, the 2020 Python Language Summit, and More

May 12, 2020

Python Performance, Moving Django Models, the 2020 Python Language Summit, and More
#420 – MAY 12, 2020 VIEW IN BROWSER
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Under Discussion: The Performance of Python
Victor Stinner and Julien Danjou sat down (remotely, that is) with Anne-Laure Civeyrac to talk about Python’s performance. They discuss everything from profiling, why Python is slow, and projects aimed at improving Python’s performance. Check it out!
ANNE-LAURE CIVEYRAC

How to Move a Django Model to Another App
In this step-by-step tutorial, you’ll learn how to move a Django model from one app to another using Django migrations. You’ll explore three different techniques and learn some helpful guidelines for choosing the best approach for your situation and needs.
REAL PYTHON

Find Performance Bottlenecks in Python Code
“We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%.” - Donald Knuth. Blackfire is built to let you find the 3%. Quick install, appealing and user-friendly UI. →
BLACKFIREsponsor

Naomi Ceder to Step Down From PSF Board of Directors
Naomi Ceder will not be running for re-election to the PSF board of directors. In this blog post, she explains her reasons and thanks the community for the chance to serve.
NAOMI CEDER

Effortless Concurrency with Python’s concurrent.futures
Python’s concurrent.futures module is a high-level interface for the threading and multiprocessing modules. You can use it to effortlessly code asynchronous tasks!
REDOWAN DELOWAR • Shared by Redowan Delowar

Remapping Python Opcodes
Take a deep dive into .pyc files, opcodes, and disassembling code in this in-depth article about decompiling a .pyc module with obfuscated opcodes.
CHRIS LYNE

Calculating Streaks in Pandas
Identifying streaks can be useful when dealing with sporting statistics, app logins, and more. Learn how to calculate streaks in Python using the pandas library and visualize them using Matplotlib.
JOSH DEVLIN • Shared by Josh Devlin


Discussions


Which Characters Are Considered Whitespace by split()?
If you’re porting some Python 2 code to Python 3, you might want to check this out.
STACK OVERFLOW

The Python World Has Shown Increased Preference for Double Quotes
Is this the new tabs vs. spaces? Which do you prefer?
RAYMOND HETTINGER ON TWITTER


Python Jobs


Senior Python Engineer (Remote, East Coast Only)
ENTERRA SOLUTIONS

Fullstack Software Engineer ML, Python (Remote)
CYBERCODERS

Python Programmer (Remote)
DICE.COM

Sr Python Developer Django, Flask, DevOps (Remote)
CYBERCODERS

More Python Jobs >>>


Articles & Tutorials


Faster Machine Learning on Larger Graphs: How NumPy and Pandas Slashed Memory and Time in StellarGraph
This week, StellarGraph released a new version of its open source library for machine learning on graphs. One of the most exciting features of StellarGraph 1.0 is a new graph data structure — built using NumPy and Pandas — that results in significantly lower memory usage and faster construction times.
HUON WILSON • Shared by Tim Pitman

Python eval(): Evaluate Expressions Dynamically
Learn how Python’s eval() built-in works and how to use it effectively in your programs. Additionally, you’ll learn how to minimize the security risks associated with the use of eval().
REAL PYTHON

Python WebDev Environment
Want to get your web application project started quicker? ActiveState’s WebDev build for Python has everything you need in a single, pre-built runtime environment, including Django, Flask and Bottle frameworks, as well as other useful tools and utilities. Get it for Windows, Mac and Linux. →
ACTIVESTATEsponsor

Systems Programming With bash and Python 3
Python’s portability, quick development time, and batteries-included philosophy make it an excellent choice for SysAdmins looking to automate command-line tasks.
KEN YOUENS-CLARK

Python Refactorings
Here are six ways you can refactor code to be more concise, more Pythonic, and more performant.
NICK THAPEN

RPP – Episode #8: Docker + Python for Data Science and Machine Learning
Docker is a common tool for Python developers creating and deploying applications, but what do you need to know if you want to use Docker for data science and machine learning? What are the best practices if you want to start using containers for your scientific projects? This week Christopher’s guest is Tania Allard, she is a Sr. Developer Advocate at Microsoft focusing on Machine Learning, scientific computing, research and open source.
REAL PYTHON podcast

Learn the Foundational Coding and Statistics Skills Needed to Start Your Career in Data Science
Interested in data science but not sure where to get started? Springboard’s Data Science Prep course was carefully crafted for go-getters ready for a challenge and need to brush up on a few basics before diving in to a data science bootcamp.
SPRINGBOARDsponsor

The 2020 Python Language Summit
“The Python Language Summit is a small gathering of Python language implementers (both the core developers of CPython and alternative Pythons), as well third-party library authors and other Python community members. The summit features short presentations followed by group discussions. In 2020, the Summit was held over two days by videoconference […]”
PYTHON SOFTWARE FOUNDATION

Improve Your Tests With the Python Mock Object Library
In this course, you’ll learn how to use the Python mock object library, unittest.mock, to create and use mock objects to improve your tests. Obstacles like complex logic and unpredictable dependencies make writing valuable tests difficult, but unittest.mock can help you overcome these obstacles.
REAL PYTHON video

Monitoring Python Flask Microservices With Prometheus
Learn how to set-up Prometheus on a Flask application to serve up metrics like requests-per-second, average response time, memory usage, and CPU usage.
VIKTOR ADAM


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 →

pyp: Easily Run Python at the Shell! Magical, but Never Mysterious
GITHUB.COM/HAUNTSANINJA

client_python: Prometheus Instrumentation Library for Python Applications
GITHUB.COM/PROMETHEUS

pywasm: A WebAssembly Interpreter Written in Pure Python
GITHUB.COM/MOHANSON

tqdm: A Fast, Extensible Progress Bar for Python and CLI
GITHUB.COM/TQDM

machine-learning-experiments: Interactive Machine Learning Experiments
GITHUB.COM/TREKHLEB

Mimesis: Fake Data Generator
GITHUB.COM/LK-GEIMFARI • Shared by Isaak

datagene: Dataset Comparison Toolbox Using Transformations and Similarity Statistics
GITHUB.COM/FIRMAI

pytest-datafixtures: Data Fixtures for Pytest Made Simple
GITHUB.COM/IDLESIGN • Shared by pythonz

📆🐍 Upcoming Python Events


⋅ EuroPython 2020: Partial Speaker Lineup Released EuroPython has released part of their speaker lineup for the conference, which is slated to take place online from July 23–26, 2020.
Happy Pythoning!
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