Daily Python: PyCoder’s Weekly: Issue #371 (June 4, 2019)

#371 – JUNE 4, 2019
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Pointers in Python: What’s the Point?

Get a clearer understanding of Python’s object model and learn why pointers don’t really exist in Python. You’ll also cover ways to simulate pointers in Python without the memory-management nightmare.
REAL PYTHON

Concurrency With Python: CSP and Coroutines

Nice overview of “communicating sequential processes” (CSP), a concurrency model similar to the notion of actor models, and how it can be implemented in Python.
YING WANG

Find a Python Job Through Vettery

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CNNs, Part 2: Training a Convolutional Neural Network

A nice walkthrough of deriving backpropagation for CNNs and implementing it from scratch in Python.
VICTOR ZHOU

Rewriting the Slack Python SDK

The lead maintainer of the Slack Python SDK gives a retrospective about refactoring the current SDK and migrating it from Python 2 to Python 3.
RODNEY URQUHART

Python’s Caduceus Syndrome

“Which of the two should the ecosystem tackle as a priority? Should they clean up all backwards compatibility first? (that would be PEP 594, ‘removing dead batteries from the standard library’) Should they focus on moving everyone over to the new features?”
VICKI BOYKIS

PyPI Now Supports 2-Factor Auth

Protect your PyPI login with two-factor authentication using Time-based One-time Password (TOTP) app.
ERNEST W. DURBIN III

Language Summit Lightning Talks (Summaries)

Summaries of the lightning talks presented at the Python Language Summit at PyCon 2019.
A. JESSE JIRYU DAVIS • Shared by Ricky White

PSF Q2 2019 Fundraiser

Support the Python Software Foundation by donating in the quarterly donation drive. Your donations help fund Python conferences, workshops, user groups, community web services, and more.
PYTHON.ORG

Discussions

Python 3.8 Performance News

“Today, code was checked in that substantially sped-up global lookups and builtin lookups. They are still slower than accessing locals and non-locals but only modestly so.”
RAYMOND HETTINGER

Is Anyone Using PyPy on Production?

Python Jobs

Senior Backend Engineer (Remote)

Articles & Tutorials

Algorithms as Objects

“We usually think of an algorithm as a single function with inputs and outputs. […] This is fine until one actually attempts to implement it as a single function; all the little details add up until you’re left with a gigantic, monolithic function.”
ANDY G • Shared by Python Bytes

Making HTTP Requests With Python

The “requests” library is the de facto standard for making HTTP requests in Python. It abstracts the complexities of making requests behind a beautiful, simple API so that you can focus on interacting with services and consuming data in your application. This course shows you how to work effectively with “requests”, from start to finish.
REAL PYTHON video

Build a Custom Python Distro in Minutes

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Object-Oriented Programming in Python vs Java

Learn about the practical differences in Python vs Java for object-oriented programming. By the end, you’ll be able to apply your knowledge to Python, understand how to reinterpret your understanding of Java objects to Python, and use objects in a Pythonic way.
REAL PYTHON

Accuracy: From Classification to Clustering Evaluation

Accuracy is often used to measure the quality of a classification. It is also used for clustering. However, the scikit-learn accuracy_score function only provides a lower bound of accuracy for clustering. This blog post explains how accuracy should be computed for clustering.
STANISLAS MORBIEU • Shared by Stanislas Morbieu

Python Function Unpacking (`*args` and `**kwargs`)

15 quick examples to get a new Python coder comfortable with *args and **kwargs as parameters.
CARLOS BALDERAS • Shared by Carlos Balderas

Evangelizing Python For Business

“Five to 10 years ago, it might have been quite an uphill battle to try to bring Python into your organization to solve your business problems. With the rise of Python’s popularity in the Data Science world, you will have a much smaller hill to climb.”
CHRIS MOFFITT

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Tuesday, June 4, 2019

PyCoder’s Weekly: Issue #371 (June 4, 2019)

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