| | 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 → DATADOGsponsor
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
Why Is the Migration to Python 3 Taking So Long? Related discussion on Hacker News. VICKI BOYKIS
Django 3.0 RC 1 Now Available DJANGOPROJECT.COM
PyCon 2020 Tutorial Proposal Deadline Approaching PYCON.BLOGSPOT.COM
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
I Was About to Learn Django. Should I Wait a Bit for 3.0 to Have Some Tutorials Out? REDDIT
Automated Tasks at Work… Boss Found Out REDDIT
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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 → VETTERYsponsor
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
How to Port an awk Script to Python MOSHE ZADKA
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. MUXsponsor
Profiling Django With DTrace and cProfile SEBASTIAN WIEDENROTH
PyCon Africa 2019 (Recap) REAL PYTHON
“int” Strips Strings of Whitespace REUVEN LERNER
Projects & Code modin: Speed Up Your Pandas Workflows GITHUB.COM/MODIN-PROJECT
viewflow: Reusable Workflow Library for Django GITHUB.COM/VIEWFLOW
django-fsm: Friendly Finite State Machines for Django GITHUB.COM/VIEWFLOW
django-river: Django Workflow Library GITHUB.COM/JAVRASYA
BrachioGraph: The Cheapest, Simplest Possible Pen-Plotter BRACHIOGRAPH.ART
adtk: Unsupervised Anomaly Detection in Time Series GITHUB.COM/ARUNDO
slim4py: Ruby Slim as a Template Engine for Python GITHUB.COM/MULTIVERSECODER
Makefile.venv: Manage Python Virtual Environments With a Makefile GITHUB.COM/SIO
jenkinsapi: Python API for Jenkins CI PYPI.ORG
pythonji: Write Python With Emojis GITHUB.COM/GAHJELLE
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