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Curtis Miller: Learn Python Statistics and Machine Learning with My New Book: Training Systems using Python Statistical Modeling

Link:

Packt Publishing has turned another one of my video courses, Training Your Systems with Python Statistical Modeling, into a book! This book is now available for purchase. It is a tutorial book for Pyt
Kushal Das: git checkout to previous branch

Link: https://kushaldas.in/posts/git-checkout-to-previous-branch.html


We regularly move between git branches while working on projects. I always
used to type in the full branch name, say to go back to develop branch and
then come back to the feature branch. This genera
Continuum Analytics Blog: 4 Machine Learning Use Cases in the Automotive Sector

Link: https://www.anaconda.com/4-machine-learning-use-cases-automotive/

From parts suppliers to vehicle manufacturers, service providers to rental car companies, the automotive and related mobility industries stand to gain significantly from implementing machine learning
Python Insider: Inspect PyPI event logs to audit your account's and project's security

Link: http://feedproxy.google.com/~r/PythonInsider/~3/mUJyrUk_9C8/inspect-pypi-event-logs-audit-security.html

To help you check for security problems, PyPI is adding an advanced audit log of user actions beyond the current (existing) journal. This will, for instance, allow publishers to track all actions take
Twisted Matrix Labs: Twisted 19.7.0 Released

Link: http://feedproxy.google.com/~r/TwistedMatrixLaboratories/~3/y-7LwEIN0ms/twisted-1970-released.html

On behalf of Twisted Matrix Laboratories and our long-suffering release manager Amber Brown, I am honored to announce1 the release of Twisted 19.7.0!The highlights of this release include:A full descr
Test and Code: 83: PyBites Code Challenges behind the scenes - Bob Belderbos

Link: https://testandcode.com/83

Bob Belderbos and Julian Sequeira started PyBites a few years ago.
They started doing code challanges along with people around the world and writing about it.
Then came the codechalleng.es platform,
PyCharm: PyCharm 2019.2.1 RC

Link: http://feedproxy.google.com/~r/Pycharm/~3/ctptlWipWO0/

PyCharm 2019.2.1 release candidate is available now!
Fixed in this Version

An issue that caused debugger functions like “Step into” to not work properly in our latest release was solved.
AltGr keymap
Stack Abuse: Basics of Memory Management in Python

Link: https://stackabuse.com/basics-of-memory-management-in-python/

Introduction
Memory management is the process of efficiently allocating, de-allocating, and coordinating memory so that all the different processes run smoothly and can optimally access different syst
Quansight Labs Blog: Spyder 4.0 beta4: Kite integration is here

Link: https://labs.quansight.org/blog/2019/08/spyder-40-beta4-kite-integration-is-here/

Kite is sponsoring the work discussed in this blog post, and in addition supports Spyder 4.0 development through a Quansight Labs Community Work Order.
As part of our next release, we are proud to ann
Brett Cannon: How do you verify that PyPI can be trusted?

Link: https://snarky.ca/how-do-you-verify-pypi-can-be-trusted/

A co-worker of mine attended a technical talk about how Go's module mirror works and he asked me whether there was something there that Python should do.Best technical talk that I've seen in a long ti
TechBeamers Python: Python Filter()

Link: https://www.techbeamers.com/python-filter-function/

Python filter() function applies another function on a given iterable (List/String/Dictionary, etc.) to test which of its item to keep or discard. In simple words, it filters the ones that don’t pass
William Minchin: Image Process Plugin 1.2.0 for Pelican Released

Link: https://blog.minchin.ca/2019/08/image-process-120.html

Image Process is a plugin for Pelican,
a static site generator written in Python.
Image Process let you automate the processing of images based on their
class attribute. Use this plugin to minimize th
Erik Marsja: The Easiest Data Cleaning Method using Python & Pandas

Link: https://www.marsja.se/easiest-data-cleaning-method-using-python-pandas-pyjanitor/

The post The Easiest Data Cleaning Method using Python & Pandas appeared first on Erik Marsja.
In this post we are going to learn how to do simplify our data preprocessing work using the Python packag
PSF GSoC students blogs: GSoC week #9

Link: https://blogs.python-gsoc.org/en/kaybs-blog/gsoc-week-9/

Hello everyone,
In week 9, My front end changes to connect the EOS-icons with backend API was merged and it is live at https://eos-icons.eosdesignsystem.com/extended/icons-picker.html
But after this a
PSF GSoC students blogs: GSoC Weekly Checkin

Link: https://blogs.python-gsoc.org/en/kaybs-blog/gsoc-weekly-checkin-1/

Hello everyone!
What did I do this week?
After the Front end was connected, we noticed some bugs with the API. It wasn't working due to some packages that were not being installed in heroku. So we add