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Mike Driscoll: PyDev of the Week: Christopher Neugebauer

Link: http://www.blog.pythonlibrary.org/2018/07/23/pydev-of-the-week-christopher-neugebauer/

This week we welcome Christopher Neugebauer (@chrisjrn) as our PyDev of the Week! Christopher helped organize North Bay Python and PyCon Australia. He is also a fellow of the Python Software Foundatio
Dataquest: Top 20 Python AI and Machine Learning Open Source Projects

Link: https://www.dataquest.io/blog/top-20-python-ai-and-machine-learning-open-source-projects/

Getting into Machine Learning and AI is not an easy task. Many aspiring professionals and enthusiasts find it hard to establish a proper path into the field, given the enormous amount of resources ava
Sylvain Hellegouarch: How Python and Guido got me my first job and many afterwards

Link: http://www.defuze.org/archives/496-how-python-and-guido-got-me-my-first-job-and-many-afterwards.html

Recently, Guido van Rossum, creator and leader of the Python programming language announced, quite out of the blue for the distant pythonista, that he was resigning from his role as the leader of the
Curtis Miller: Unpacking NumPy and Pandas: The Book Is Coming Soon!

Link:

The team at Packt will internally turn the video course Unpacking NumPy and Pandas into a book. This means there will be yet another format for people to learn from me about NumPy and Pandas.
Matthew Rocklin: Pickle isn't slow, it's a protocol

Link: https://matthewrocklin.com/blog//work/2018/07/23/protocols-pickle

This work is supported by Anaconda Inc
tl;dr: Pickle isn’t slow, it’s a protocol. Protocols are important for
ecosystems.
A recent Dask issue showed that using Dask with PyTorch was
slow because send
Real Python: Fast, Flexible, Easy and Intuitive: How to Speed Up Your Pandas Projects

Link: https://realpython.com/fast-flexible-pandas/

If you work with big data sets, you probably remember the “aha” moment along your Python journey when you discovered the Pandas library. Pandas is a game-changer for data science and analytics, partic
PyCharm: PyCharm 2018.2 RC 2

Link: http://feedproxy.google.com/~r/Pycharm/~3/opEoXs7_Vzg/

Today we’re making the second release candidate for PyCharm 2018.2 available on our website. We’ve only made one small fix to how usage statistics are collected.
Usage statistics collection in PyCharm
Doing Math with Python: Doing Math with Python in Linux Geek Humble Bundle

Link: http://doingmathwithpython.github.io/humble-bundle-linux-geek.html

"Doing Math with Python" is part of No Starch Press's "Pay what you want" Linux Geek Humble Bundle
running for the next 7 days. Your purchases will help support EFF or a charity of your choice.



Ge
Mike Driscoll: Understanding Tracebacks in Python

Link: http://www.blog.pythonlibrary.org/2018/07/24/understanding-tracebacks-in-python/

When you are first starting out learning how to program, one of the first things you will want to learn is what an error message means. In Python, error messages are usually called tracebacks. Here ar
EuroPython: EuroPython 2018: Get to know other attendees

Link: https://blog.europython.eu/post/176226172432

As with every larger conference, it is sometimes a bit intimidating to approach other fellow attendees to get to know them.At EuroPython, we’re generally a very friendly bunch and open to helping peop
Stack Abuse: Cross Validation and Grid Search for Model Selection in Python

Link: http://stackabuse.com/cross-validation-and-grid-search-for-model-selection-in-python/

Introduction
A typical machine learning process involves training different models on the dataset and selecting the one with best performance. However, evaluating the performance of algorithm is not a
Davy Wybiral: Running python-RQ on a Raspberry Pi 3 Cluster

Link: http://davywybiral.blogspot.com/2018/07/running-python-rq-on-raspberry-pi-3.html

I keep getting asked to show some examples of Python code running on a Raspberry Pi cluster so here's a distributed task queue using python-RQ, Redis, and 16 ARM cores-worth of Raspberry Pi 3's.
Mike Driscoll: Python 101: Episode #17 – The email and smtp modules

Link: http://www.blog.pythonlibrary.org/2018/07/25/python-101-episode-17-the-email-and-smtp-modules/


Learn how to use Python’s email and smtp modules in this video. You can also read the written version of this video here: http://python101.pythonlibrary.org/ or get the book here: https://leanpub.com
PyCon.DE & PyData Karlsruhe: PyCon.DE & PyData Karlsruhe 2018 Keynote: Wes McKinney

Link: http://de.pycon.org/blog/pyconde-and-pydata-karlsruhe-2018-keynote-wes-mckinney/

We are very happy to confirm Wes McKinney as a keynote speaker for PyCon.DE 2018 & PyData Karlsruhe.

Wes McKinney has been creating fast, easy-to-use data wrangling and statistical computing tools, m
Real Python: Documenting Python Code: A Complete Guide

Link: https://realpython.com/documenting-python-code/

Welcome to your complete guide to documenting Python code. Whether you’re documenting a small script or a large project, whether you’re a beginner or seasoned Pythonista, this guide will cover everyth