Planet Python RSS
214 subscribers
17K links
Unofficial Planet Python RSS feed from planetpython.org. Maintained by @cfinnberg
Download Telegram
Python Pool: 5 Techniques to Use List pop() Method in Python

Link: https://www.pythonpool.com/python-list-pop/?utm_source=rss&utm_medium=rss&utm_campaign=python-list-pop

Introduction
In Python, we have lists, which are used to store items of different data types in an ordered sequence. There are many ways to delete an element from the list such as pop, remove, etc. In
The Digital Cat: How to write a Pelican theme for your static website

Link: https://www.thedigitalcatonline.com/blog/2021/03/25/how-to-write-a-pelican-theme-for-your-static-website/

I run The Digital Cat using a static site generator called Pelican, created by my friend Justin Mayer and actively maintained by him and other developers. I also gave some minor contributions to the p
EuroPython: 20th Anniversary of EuroPython

Link: https://blog.europython.eu/20th-anniversary-of-europython/

This year's conference will mark the 20th edition of the EuroPython conference.Since we started touring Europe in 2002 in Charleroi, Belgium, we have come a long way. The conference has grown from the
EuroPython Society: 20th Anniversary of EuroPython

Link: https://www.europython-society.org/20th-anniversary-of-europython/

This year's conference will mark the 20th edition of the EuroPython conference:Since we started touring Europe in 2002 in Charleroi, Belgium, we have come a long way. The conference has grown from the
Kushal Das: The correct spelling is Tor

Link: https://kushaldas.in/posts/the-correct-spelling-is-tor.html



The correct spelling is Tor, not TOR or any other variations.
Please use the correct spelling of the project.
Ben Cook: SageMaker Studio Quick Start

Link: https://jbencook.com/sagemaker-studio-quick-start/

A step-by-step quick start guide for SageMaker Studio. Start a Studio session, launch a notebook on a GPU instance and run object detection inference with a detectron2 pre-trained model.
Ben Cook: NumPy Meshgrid: Understanding np.meshgrid()

Link: https://jbencook.com/numpy-meshgrid/

You can create multi-dimensional coordinate arrays using the np.meshgrid() function, which is also available in PyTorch and TensorFlow. But watch out! PyTorch uses different indexing by default so the
Ben Cook: Linear Interpolation in Python: An np.interp() Example

Link: https://jbencook.com/numpy-interpolate/

It's easy to linearly interpolate a 1-dimensional set of points in Python using the np.interp() function from NumPy.
Ben Cook: Binary Cross Entropy Explained

Link: https://jbencook.com/binary-cross-entropy/

A simple NumPy implementation of the binary cross entropy loss function and some intuition about why it works.
Ben Cook: NumPy All: Understanding np.all()

Link: https://jbencook.com/numpy-all/

The np.all() function tests whether all elements in a NumPy array evaluate to true.
Ben Cook: Finding the Mode of an Empirical Continuous Distribution

Link: https://jbencook.com/mode-of-continuous-distribution/

You can find the mode of an empirical continuous distribution by plotting the histogram and looking for the maximum bin.
Ben Cook: NumPy Where: Understanding np.where()

Link: https://jbencook.com/numpy-where/

The NumPy where function is like a vectorized switch that you can use to combine two arrays.
Ben Cook: TorchVision Transforms

Link: https://jbencook.com/torchvision-transforms/

TorchVision, a PyTorch computer vision package, has a great API for image pre-processing in its torchvision.transforms module. This post gives some basic usage examples, describes the API and shows yo
Ben Cook: Filtering DataFrames with the .query() Method in Pandas

Link: https://jbencook.com/pandas-query/

Pandas provides a .query() method on DataFrame's with a convenient string syntax for filtering DataFrames. This post describes the method and gives simple usage examples.
Python Morsels: Tuple unpacking

Link: https://www.pythonmorsels.com/topics/tuple-unpacking/




Transcript
Let's talk about tuple unpacking in Python.
An alternative to hard-coded indexes
We have a three-item tuple, called p:
>>> p = (2, 1, 3)

We can access each of the things in this tuple b
Janusworx: Thoughts on Setting Up a Blog

Link: https://janusworx.com/blog/thoughts-on-setting-up-a-blog/

This post was first sent to my newsletter on March 19th, 2021.
You really ought to subscribe :)
I blame Mahe for this post.

Hey, Jason!
Can you please write an article on how to build a website l
Real Python: The Real Python Podcast – Episode #53: Improving the Learning Experience on Real Python

Link: https://realpython.com/podcasts/rpp/53/

If you haven't visited the website lately, then you're missing out on the updates to realpython.com! The site features a completely refreshed layout with multiple sections to help you take advantage o
Talk Python to Me: #309 What ML Can Teach Us About Life: 7 Lessons

Link: https://talkpython.fm/episodes/show/309/what-ml-can-teach-us-about-life-7-lessons

Machine learning and data science are full of best practices and important workflows. Can we extrapolate these to our broader lives? Eugene Yan and I give it a shot on this slightly more philosophical
PyCharm: PyCharm 2021.1 EAP 5 is Out!

Link: http://feedproxy.google.com/~r/Pycharm/~3/fmi8Yqd7-DU/


We’ve addressed a long list of issues in this bug-fix release. Here’s just a few of the major fixes:


UX: The IDE no longer gets stuck when you cancel the process of opening (starting up) a project.