#395 – NOVEMBER 19, 2019
View in Browser »
Threading in Python
Learn how to use threading in your Python programs. You’ll see how to create threads, how to coordinate and synchronize them, and how to handle common problems that arise in threading.
REAL PYTHON video
Reduce Pandas Memory Usage by Loading Less Data
How to reduce the memory your DataFrame uses at the time it is initially loaded: by dropping columns, lower-range numerical dtypes, and categoricals.
ITAMAR TURNER-TRAURING
Debug Your Python Applications Fast With Datadog APM and Distributed Tracing
Use detailed flame graphs to identify bottlenecks and latency, and correlate log and trace data for individual requests to get the necessary context to debug critical errors. Plus, the Datadog tracing client auto-instruments popular frameworks and libraries like Flask, Tornado, Django, and more →
DATADOG sponsor
The Return of Python Dictionary “Addition”
An interesting summary of discussions around PEP 584 (“Add + and += operators to the built-in dict class”).
JAKE EDGE
Discussions
Don’t Use property() for Computationally Intensive Tasks
“To a user, attribute-style access is implicitly assumed to be fast. In contrast, a well-named method can communicate workload: raymondh.family_members vs raymondh.scan_entire_social_graph()“
RAYMOND HETTINGER
Python Jobs
Senior Python Engineer (Munich, Germany)
Senior Python/Django Developer (Eindhoven, Netherlands)
Django Full Stack Web Developer (Austin, TX, USA)
Full Stack Developer (Toronto, ON, Canada)
Articles & Tutorials
Getting Started With Python IDLE
See how to use the development environment included with your Python installation. Python IDLE is a small program that packs a big punch! You’ll learn how to use Python IDLE to interact with Python directly, work with Python files, and improve your development workflow.
REAL PYTHON
When Your Data Doesn’t Fit in Memory: The Basic Techniques
Python techniques for processing “bigger than RAM” data on a single computer, with minimal setup, and as much as possible using the same libraries you’re already using.
ITAMAR TURNER-TRAURING • Shared by ITAMAR TURNER-TRAURING
Python Developers Are in Demand on Vettery
Vettery is an online hiring marketplace that’s changing the way people hire and get hired. Ready for a bold career move? Make a free profile, name your salary, and connect with hiring managers from top employers today →
VETTERY sponsor
Unconventional Secure and Asynchronous RESTful APIs Using SSH
How to build secure asynchronous APIs in Python using Korv and AsyncSSH that listen on TCP sockets over SSH sessions.
TRYEXCEPTPASS.ORG • Shared by Cristian Medina
Pandas GroupBy: Your Guide to Grouping Data in Python
Learn how to work adeptly with the Pandas GroupBy facility while mastering ways to manipulate, transform, and summarize data. You’ll work with real-world datasets and chain GroupBy methods together to get data in an output that suits your purpose.
REAL PYTHON
Jupyter on Your Phone (Or Anywhere, Really)
How to host Jupyter notebooks on your own server so you can access them anywhere, even with your mobile phone.
UMAR KHAN
Easily Build Beautiful Video Experiences Into Your Python App
Mux Video is an API-first platform, powered by data and designed by video experts. Test it out to build video for your Python app that streams beautifully, everywhere.
MUX sponsor
Projects & Code
Events
PyData Bristol Meetup
November 21, 2019
MEETUP.COM
Python Northwest
November 21, 2019
PYNW.ORG.UK
PyLadies Dublin
November 21, 2019
PYLADIES.COM
MadPUG
November 21, 2019
MEETUP.COM
PyDelhi User Group Meetup
November 23, 2019
MEETUP.COM
Happy Pythoning!
This was PyCoder’s Weekly Issue #395.
View in Browser »
[ Subscribe to 🐍 PyCoder’s Weekly 💌 – Get the best Python news, articles, and tutorials delivered to your inbox once a week >> Click here to learn more ]
from Planet Python
via read more
No comments:
Post a Comment