Efficient Queues and Stacks, 25 Pandas Function You Might Not Know, Graph Data Analysis, and More

#487 – AUGUST 24, 2021

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Python’s deque: Implement Efficient Queues and Stacks
In this step-by-step tutorial, you’ll learn about Python’s deque and how to use it to perform efficient pop and append operations on both ends of your sequences. Deques are commonly used to build queues and stacks.
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25 Pandas Functions You Didn’t Know Existed
Did you know that you can style the pandas DataFrame output in a notebook? This listicle covers twenty-five pandas functions that you may not have heard of, including .explode(), .squeeze(), and the pandas DataFrame styler. There’s something in this article for everyone, so read it to find out how you can take your pandas skills to the next level.
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What if Your Project Management Tool Was Fast and Intuitive? Try Clubhouse.io (Soon to Be Shortcut)

Imagine how much more you could get done if your project management tools didn’t make you sigh. Clubhouse is the ideal solution for task management, bug tracking, iteration planning, and reporting. Delight the scrum gods and give us a try →
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Graph Data Science With Python and NetworkX
Graph theory network analysis can yield deep data insights that are difficult to tease out via alternative methods. Get a taste of what graph analysis can do in this quick, hands-on tutorial that uses NetworkX to create and analyze a graph.
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Exploring the Python math Module
In this step-by-step course, you’ll learn all about Python’s math module for higher-level mathematical functions. Whether you’re working on a scientific project, a financial application, or any other type of programming endeavor, you just can’t escape the need for math!
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Design a Camera with Python and PyRayT
Camera lenses are more complex than you might think. If you cut open a camera to look at a cross-section, you’d see that a lens is actually made up of several smaller lenses. This article explores how camera lenses work using a new Python raytracing project called PyRayT that’s designed for designing optical systems.
RYAN FRAZIER • Shared by Ryan Frazier

Cheat Sheet: 9 Python Security Best Practices

Most Python frameworks like Django have debugging switched on by default. Set DEBUG = False in production to prevent information leaks, plus learn 8 more tips in the Python security cheat sheet →
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Creating a PDF Invoice Using borb
Creating PDFs from scratch programmatically can be a challenge. There’s a new Python project called borb that aims to simplify PDF creation. Learn how borb works and how you can use it to create a PDF invoice in this tutorial from the project’s creator.
JORIS SCHELLEKENS • Shared by Joris Schellekens

Python’s Assignment Expressions and Fixing a Botched Release to PyPI
Have you started to use Python’s assignment expression in your code? Maybe you have heard them called the walrus operator. Now that the controversy over the introduction in Python 3.8 has settled down, how can you use assignment expressions effectively in your code? This week on the Real Python Podcast, David Amos is back, and he’s brought another batch of PyCoder’s Weekly articles and projects.
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SonarLint Free and Open Source IDE Extension for Python Devs
Working in VS Code, PyCharm, Visual Studio, or Eclipse? SonarLint helps you find & fix Code Quality and Code Security issues in your Python codebase!
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Writing your First Distributed Python Application with Ray
Ray is a fast, simple distributed execution framework that makes it easy to scale your applications and to leverage state of the art machine learning libraries. Using Ray, you can take Python code that runs sequentially and transform it into a distributed application with minimal code changes.
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networkx: Network Analysis in Python
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paranoidscientist: Runtime Software Verification and Automated Testing for Scientific Software in Python
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PyRayT: A Geometric Ray Tracing Package for Optical System Design
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Python Launcher for UNIX, Python in the Browser, Data Visualization with HoloViz, and More

Tuesday, August 17, 2021

Introducing the Python Launcher for Unix #486 – AUGUST 17, 2021 VIEW IN BROWSER The PyCoder's Weekly Logo Introducing the Python Launcher for Unix Python Core Developer and Steering Council member

What To Do When You Botch a PyPI Release, E2E Testing Approaches, Walrus Operator Use Cases, And More

Tuesday, August 10, 2021

What to Do When You Botch a Release on PyPI #485 – AUGUST 10, 2021 VIEW IN BROWSER The PyCoder's Weekly Logo What to Do When You Botch a Release on PyPI Mistakes happen to everyone. But what do you

Python and REST APIs, Launchpad Finishes Python 3 Transition, New Way to Specify Python Project Install Requirements, and More

Tuesday, August 3, 2021

Python and REST APIs: Interacting With Web Services #484 – AUGUST 3, 2021 VIEW IN BROWSER The PyCoder's Weekly Logo Python and REST APIs: Interacting With Web Services In this tutorial, you'll

Efficient Queues and Stacks, 25 Pandas Function You Might Not Know, Graph Data Analysis, and More

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Python Launcher for UNIX, Python in the Browser, Data Visualization with HoloViz, and More

What To Do When You Botch a PyPI Release, E2E Testing Approaches, Walrus Operator Use Cases, And More

Python and REST APIs, Launchpad Finishes Python 3 Transition, New Way to Specify Python Project Install Requirements, and More

Python Collections, SciPy's New Build System, What To Know About the "operator" Module, and More

Building Web Apps With FastAPI, How Python Imports Work, 1st Week of CPython Developer-In-Residence, and More

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