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Matthew Rocklin: Dask Development Log

Link: https://matthewrocklin.com/blog//work/2018/09/17/dask-dev

This work is supported by Anaconda Inc
To increase transparency I’m trying to blog more often about the current work
going on around Dask and related projects. Nothing here is ready for
production.
Mike Driscoll: Jupyter Notebook 101: Writing Update

Link: http://www.blog.pythonlibrary.org/2018/09/18/jupyter-notebook-101-writing-update/

I don’t usually write about my book writing while the book is in progress on my blog, but I know some readers probably wonder why there are times where I am not writing blog posts as regularly as I us
Continuum Analytics Blog: Anaconda and Kx Systems Partner to Deliver kdb+ Database System and Related Machine Learning Libraries

Link: https://www.anaconda.com/blog/company-blog/anaconda-and-kx-systems-partner-to-deliver-kdb-database-system-and-related-machine-learning-libraries/

Anaconda, Inc., the most popular Python data science platform provider with 2.5 million downloads per month, is pleased to announce an exciting new partnership with Kx Systems, a provider of fast, eff
Caktus Consulting Group: Better Python Dependency Management with pip-tools

Link: https://www.caktusgroup.com/blog/2018/09/18/python-dependency-management-pip-tools/


I recently looked into whether I could use pip-tools to improve my workflow around projects' Python dependencies. My conclusion was that pip-tools would help on some projects, but it wouldn't do ever
Thibauld Nion: Long overdue release of Yapsy

Link: http://www.tibonihoo.net/blog/en/2018/09/une-nouvelle-version-de-yapsy-qui-sest-faite-attendre/

TL;DR: Yapsy v1.12 has been released with fixes for Python3.6 and multiprocessing on windows.
So, after 3 years sleeping busy with a fair bit of work and family duties joyful activities, I eventually
Davy Wybiral: Internet of Things Development Board: FireBeetle ESP32

Link: http://davywybiral.blogspot.com/2018/09/internet-of-things-development-board.html

This is an IoT development board for the ESP32 that can be programmed using the Arduino IDE, MicroPython, or JavaScript using Espruino.
Stack Abuse: NumPy Tutorial: A Simple Example-Based Guide

Link: https://stackabuse.com/numpy-tutorial-a-simple-example-based-guide/


Introduction
Advantages of NumPy
NumPy Operations
Creating a NumPy Array
The array Method
The arange Method
The zeros Method
The ones Method
The linspace Method
The eye Method
The random Method
Resha
Wingware News: Wing Python IDE 6.1.1: September 19, 2018

Link: https://wingware.com/news/2018-09-19

This release improves PEP 8 reformatting, streamlines remote agent installation,
improves robustness of remote development in the face of network failures, adds support
for debugging PythonQt, optimi
Wallaroo Labs: Make Python Pandas go fast

Link: https://blog.wallaroolabs.com/2018/09/make-python-pandas-go-fast/

Some Background Suppose you have a Data Analysis batch job that runs every hour on a dedicated machine. As the weeks go by, you notice that the inputs are getting larger and the time taken to run it g
Chris Warrick: Python Hackery: merging signatures of two Python functions

Link: https://chriswarrick.com/blog/2018/09/20/python-hackery-merging-signatures-of-two-python-functions/

Today’s blog post is going to contain fairly advanced Python hackery. We’ll
take two functions — one is a wrapper for the other, but also adds some
positional arguments. And we’ll change the signatur
Stack Abuse: Course Review: Master the Python Interview

Link: https://stackabuse.com/course-review-master-the-python-interview/

Introduction
This article will be a continuation of the topic of my prior article Preparing for a Python Developer Interview where I gave my opinions and suggestions that I feel will put you in the be
Codementor: The Best Programming Languages for Data Science and Machine Learning in 2018

Link: https://www.codementor.io/dyako/the-best-programming-languages-for-data-science-and-machine-learning-in-2018-nkfl0ukgs

Data science is a very vast field and for this, a suitable programming language is a requirement. To learn this field of data science and machine learning one must know the best programming...
Mike Driscoll: Return to editingPython 101: Episode #25 – Decorators

Link: http://www.blog.pythonlibrary.org/2018/09/20/return-to-editingpython-101-episode-25-decorators/


In this episode, you will learn the basics of Python decorators and what the are good for.
You can read the chapter this screencast is based on here: http://python101.pythonlibrary.org/ or purchase t
Stack Abuse: Introduction to the Python Pickle Module

Link: https://stackabuse.com/introduction-to-the-python-pickle-module/

Introduction
Pickling is a popular method of preserving food. According to Wikipedia, it is also a pretty ancient procedure – although the origins of pickling are unknown, the ancient Mesopotamians pr
PyCharm: PyCharm 2018.2.4

Link: http://feedproxy.google.com/~r/Pycharm/~3/aa4qWgFkKo4/

PyCharm 2018.2.4 is now available, with some small improvements. You can download this version from our website.
New in This Version

Various small pipenv improvements
A bug in our pytest with fixture
Continuum Analytics Blog: AI Opportunities for Financial Services Companies

Link: https://www.anaconda.com/blog/company-blog/ai-opportunities-for-financial-services-companies/

By Michael Grant AI is undeniably a hot topic right now, and financial services companies are not immune to the hype. And in truth, they shouldn’t be: the applications of advanced AI within financial