Daily Python: PyCoder’s Weekly: Issue #383 (Aug. 27, 2019)

#383 – AUGUST 27, 2019
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Your Guide to the CPython Source Code

In this detailed Python tutorial, you’ll explore the CPython source code. By following this step-by-step walkthrough, you’ll take a deep dive into how the CPython compiler works and how your Python code gets executed.
REAL PYTHON

Refactoring Functions to Multiple Exit Points

“It’s sometimes claimed that not only should a function have a single entry point, but that it should also have a single exit. One could argue such from sense of mathematical purity. But unless you work in a programming language that combines mathematical purity with convenience […] that point seems moot to me.”
MARTIJN FAASSEN

Safely Roll Out New Features in Python With Optimizely Rollouts

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Python 3 Readiness Update

This is an automated Python 3 support table for the most popular packages. 360 out of the 360 most downloaded packages on PyPI now support Python 3.
PY3READINESS.ORG

Time to Shed Python 2

“Don’t constrict yourself, Python 2 slithers off into the sunset in 2020.”
NCSC.GOV.UK

Onelinerizer: Rewrite Python Code as a Single Line

Fun!
ONELINERIZER.COM

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What Was the Most the Rewarding Thing That You’ve Automated?

Why Didn’t Python Beat Out JavaScript in the Browser?

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How to Use Python Lambda Functions

Learn about Python lambda functions and see how they compare with regular functions and how you can use them in accordance with best practices.
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Quick and Dirty Mock Service With Starlette

“Have you ever needed to mock out a third party service for use in a large testing environment? I recently did, and I used Starlette, a new async Python web framework, to do it. See what Starlette offers!”
MATT LAYMAN • Shared by Matt Layman

Python Developers Are in Demand on Vettery

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Insider Trading Visualized With Python

“We use Python to visualize insider trading as reporting in SEC Form 4 filings. Our goal is find patterns to create signals for buy/sell decisions and general risk monitoring of investment portfolios.”
JAN L. SCHROEDER

Editing Excel Spreadsheets in Python With `openpyxl`

Learn how to handle spreadsheets in Python using the openpyxl package. You’ll see how to manipulate Excel spreadsheets, extract information from spreadsheets, create simple or more complex spreadsheets, including adding styles, charts, and so on.
REAL PYTHON

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Tuesday, August 27, 2019

PyCoder’s Weekly: Issue #383 (Aug. 27, 2019)

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