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NumPy for Speed, Multiprocessing Performance, XML to YAML, and More

#566 – FEBRUARY 28, 2023 VIEW IN BROWSER
The PyCoder’s Weekly Logo
Using NumPy and Linear Algebra for Faster Python Code
Are you still using loops and lists to process your data in Python? Have you heard of a Python library with optimized data structures and built-in operations that can speed up your data science code? This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, returns to share secrets for harnessing linear algebra and NumPy for your projects.
REAL PYTHON podcast

Python’s Multiprocessing Performance Problem
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading. This article details why processes have performance issues that threads don’t, ways to work around it, and a sample bad solution.
ITAMAR TURNER-TRAURING

Simple Observability Tool for Peace of Mind: TelemetryHub by Scout APM
We built TelemetryHub to make observability easy. It’s our goal to provide you with peace of mind by providing a user experience that’s intuitive, easy to use, and allows you to monitor and understand what’s happening inside your application at a glance →
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Convert XML to YAML in Python
XML and YAML are two of the most popular text based data formats. This article teaches you how to use third-party Python libraries to convert from one to the other.
ADITYA RAJ

Attack on PyPI Attempting to Deliver Rust Executable
PHYLUM.IO

Django 4.2 Beta 1 Released
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Articles & Tutorials


Top 6 Text Annotation Tools
Text annotation is the process of reading natural language data and adding additional information to it in a way your program can use it. This info can be used to train models or help process the data. This article describes 6 different tools that can help you annotate your text data.
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One Does Not Simply pip install
Find your favorite package and turn to the readme to get it installed - it seems dead simple just a ‘pip install’ away. Nothing could possibly go wrong. Right? If you’re used to it, it is easy to forget almost all the instructions are skipping a step: using a virtual environment.
IAN WOOTTEN

The New Notification Stack for Python Developers
Get the Python resources you need to build your notifications infrastructure, faster. Everything from code tutorials, to an SDK and docs all in one place. See for yourself →
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How to Iterate Over Rows in Pandas, and Why You Shouldn’t
In this tutorial, you’ll learn how to iterate over a pandas DataFrame’s rows, but you’ll also understand why looping is against the way of the panda. You’ll understand vectorization, see how to choose vectorized methods, and compare the performance of iteration against pandas.
REAL PYTHON

App Fiddle: Learn Flask/SQLAlchemy “In Action”
App Fiddle is to apps what JSFiddle is to JavaScript. Use this instance to learn Flask/SQLAlchemy, running an app in Codespaces. You can browse and explore using VSCode on the web, customize, and debug a complete project, including a database.
APILOGICSERVER.GITHUB.IO • Shared by Val Huber

An Opinionated Python Boilerplate
This is Duarte’s take on what tools and practices to use for a new Python project. Includes samples for pyproject.toml, details on using pip-tools, and even the occasional Makefile.
DUARTE O.CARMO

Understanding Python Metaclasses
Metaclasses are part of the darker corners of Python and many developers avoid them. This article dives deep into how you can use them to reduce boilerplate code and build APIs.
IONEL CRISTIAN MĂRIEȘ

How to Control Crowds with Python, OpenCV and InfluxDB
In this quick training, learn how to build a face recognition application using open source tools like OpenCV (Open Source Computer Vision Library) and InfluxDB time series platform. Github repository included.
INFLUXDATAsponsor

Build a CRUD REST API in Python
This step-by-step guide shows you how to build a REST API with Create, Read, Update, and Delete methods using Flask, SQLAlchemy, Postgres, and Docker.
FRANCESCO CIULLA

GPT in 60 Lines of NumPy
Everybody is talking about GPT, this article is actually building one. Learn how to implement a GPT model from scratch in NumPy.
JAY MODY


Projects & Code


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Portable Django: Django and Python in an Executable Zip
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pygwalker: Turn Pandas Into a Tableau-Style UI
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feast: Feature Store for Machine Learning
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RedditVideoMakerBot: Create Videos With One Command
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modelscope: Model-as-a-Service Platform for ML Learning
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Buffer Flushing, Async Bugs, SQLAlchemy 2.0, and More

Tuesday, February 21, 2023

How to Flush the Output of the Python Print Function #565 – FEBRUARY 21, 2023 VIEW IN BROWSER The PyCoder's Weekly Logo How to Flush the Output of the Python Print Function In this tutorial, you

Monorepos, SpiffWorkflow, Functional Python, and More

Tuesday, February 14, 2023

Monorepos in Python #564 – FEBRUARY 14, 2023 VIEW IN BROWSER The PyCoder's Weekly Logo Monorepos in Python A monorepo is a source control pattern in some organizations where a single code

Wordle Clone, Wasm, Three Python Trends, and More

Tuesday, February 7, 2023

Build a Wordle Clone With Python and Rich #563 – FEBRUARY 7, 2023 VIEW IN BROWSER The PyCoder's Weekly Logo Build a Wordle Clone With Python and Rich In this step-by-step project, you'll build

Apache Airflow, Nox, Simulating Broken DB Connections, and More

Tuesday, January 31, 2023

Orchestrating Large and Small Projects With Apache Airflow #562 – JANUARY 31, 2023 VIEW IN BROWSER The PyCoder's Weekly Logo Orchestrating Large and Small Projects With Apache Airflow Have you

Time, Property-Based Pytest, Continuous Profiling, and More

Tuesday, January 24, 2023

How to Get and Use the Current Time in Python #561 – JANUARY 24, 2023 VIEW IN BROWSER The PyCoder's Weekly Logo How to Get and Use the Current Time in Python In this tutorial, you'll be getting

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