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.
Link: https://jbencook.com/numpy-all/
The np.all() function tests whether all elements in a NumPy array evaluate to true.
jbencook
NumPy All: Understanding np.all() - jbencook
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.
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.
jbencook
Finding the Mode of an Empirical Continuous Distribution - jbencook
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.
Link: https://jbencook.com/numpy-where/
The NumPy where function is like a vectorized switch that you can use to combine two arrays.
jbencook
NumPy Where: Understanding np.where() - jbencook
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
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
jbencook
TorchVision Transforms: Image Preprocessing in PyTorch
This post explains the torchvision.transforms module by describing the API and showing you how to create custom image transforms.
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.
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.
jbencook
Filtering DataFrames with the .query() Method in Pandas - jbencook
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
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
Pythonmorsels
Tuple unpacking
Instead of using hard-coded indices to get tuple elements, use tuple unpacking to give descriptive names to each item. Important items should have a name instead of a number.
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
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
Janusworx
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
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
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
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
Realpython
Episode #53: Improving the Learning Experience on Real Python – The Real Python Podcast
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 of even more great educational Python content. This week…
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
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
talkpython.fm
What ML Can Teach Us About Life: 7 Lessons
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python…
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.
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.
JetBrains Blog
PyCharm 2021.1 EAP 5 is Out! | The PyCharm Blog
We’ve addressed a long list of issues in this bug-fix release. Here’s just a few of the major fixes:
For the full list, please read the release notes.
Important! PyCharm EAP builds are
For the full list, please read the release notes.
Important! PyCharm EAP builds are
Quansight Labs Blog: Accessibility: Who's Responsible?
Link: https://labs.quansight.org/blog/2021/03/accessibility-whos-responsible/
JupyterLab Accessibility Journey Part 1
For the past few months, I've been part of a group of people in the JupyterLab community
who've committed to start chipping away at the many accessibility fai
Link: https://labs.quansight.org/blog/2021/03/accessibility-whos-responsible/
JupyterLab Accessibility Journey Part 1
For the past few months, I've been part of a group of people in the JupyterLab community
who've committed to start chipping away at the many accessibility fai
Quansight Labs
Accessibility: Who's Responsible?
JupyterLab Accessibility Journey Part 1
For the past few months, I've been part of a group of people in the JupyterLab community
who've committed to start chipping away at the many accessibility fail
For the past few months, I've been part of a group of people in the JupyterLab community
who've committed to start chipping away at the many accessibility fail
Python Pool: 7 Quick Ways to Check If String is Empty in Python
Link: https://www.pythonpool.com/empty-string-python/?utm_source=rss&utm_medium=rss&utm_campaign=empty-string-python
Introduction
Python strings are immutable, i.e., we can change the strings according to the operations performed. String Manipulation is the most important feature in python. You can manipulate the st
Link: https://www.pythonpool.com/empty-string-python/?utm_source=rss&utm_medium=rss&utm_campaign=empty-string-python
Introduction
Python strings are immutable, i.e., we can change the strings according to the operations performed. String Manipulation is the most important feature in python. You can manipulate the st
Python Pool
7 Quick Ways to Check If String is Empty in Python
Python strings are immutable, i.e., we can change the strings according to the operations performed. String Manipulation is the most important feature in
Python Pool: Multiple Ways To Print Blank Line in Python
Link: https://www.pythonpool.com/python-print-blank-line/?utm_source=rss&utm_medium=rss&utm_campaign=python-print-blank-line
Introduction
Sometimes, while programming in Python, we came to a situation where we want to print the data in a new line, a blank line between two-lines, or print the data in the same line without us
Link: https://www.pythonpool.com/python-print-blank-line/?utm_source=rss&utm_medium=rss&utm_campaign=python-print-blank-line
Introduction
Sometimes, while programming in Python, we came to a situation where we want to print the data in a new line, a blank line between two-lines, or print the data in the same line without us
Python Pool
Multiple Ways To Print Blank Line in Python
Introduction Sometimes, while programming in Python, we came to a situation where we want to print the data in a new line, a blank line between two-lines,
Python Pool: Numpy genfromtxt() | How to use Numpy genfromtxt()
Link: https://www.pythonpool.com/numpy-genfromtxt/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-genfromtxt
Introduction
Numpy is the name that came from ‘Numerical Python.’ It is a library in python which performs n-dimensional operations on arrays. But have you ever thought about loading the data into num
Link: https://www.pythonpool.com/numpy-genfromtxt/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-genfromtxt
Introduction
Numpy is the name that came from ‘Numerical Python.’ It is a library in python which performs n-dimensional operations on arrays. But have you ever thought about loading the data into num
Python Pool
Numpy genfromtxt() | How to use Numpy genfromtxt() - Python Pool
Numpy genfromtxt() function in python is used to load the data from the text files, with missing values handled as specified. .
Python Pool: Type() Function | How to Check Data Type in Python
Link: https://www.pythonpool.com/check-data-type-python/?utm_source=rss&utm_medium=rss&utm_campaign=check-data-type-python
Introduction
Python has many built-in functions. In this tutorial, we will be discussing how to check the data-type of the variables in python by using type(). As, while programming in Python, we came
Link: https://www.pythonpool.com/check-data-type-python/?utm_source=rss&utm_medium=rss&utm_campaign=check-data-type-python
Introduction
Python has many built-in functions. In this tutorial, we will be discussing how to check the data-type of the variables in python by using type(). As, while programming in Python, we came
Python Pool
Type() Function | How to Check Data Type in Python - Python Pool
Python type() is a built-in function that helps you to check the data type of the variable given as input. It has two different parameters.
Weekly Python StackOverflow Report: (cclxviii) stackoverflow python report
Link: http://python-weekly.blogspot.com/2021/03/cclxviii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-03-27 17:37:58 GMTPandas check if value in one multiindex column i
Link: http://python-weekly.blogspot.com/2021/03/cclxviii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-03-27 17:37:58 GMTPandas check if value in one multiindex column i
Blogspot
(cclxviii) stackoverflow python report
These are the ten most rated questions at Stack Overflow last week. Between brackets: [ question score / answers count] Build date: 2021...
Ben Cook: PyTorch Tensor to NumPy Array and Back
Link: https://jbencook.com/pytorch-numpy-conversion/
You can easily convert a NumPy array to a PyTorch tensor and a PyTorch tensor to a NumPy array. This post explains how it works.
The post PyTorch Tensor to NumPy Array and Back appeared first on jbenc
Link: https://jbencook.com/pytorch-numpy-conversion/
You can easily convert a NumPy array to a PyTorch tensor and a PyTorch tensor to a NumPy array. This post explains how it works.
The post PyTorch Tensor to NumPy Array and Back appeared first on jbenc
jbencook
NumPy Arrays to PyTorch Tensors and Back
You can easily convert a NumPy array to a PyTorch tensor and a PyTorch tensor to a NumPy array. This post explains how it works.
Ned Batchelder: Gefilte Fish: gmail filter creation
Link: https://nedbatchelder.com/blog/202103/gefilte_fish_gmail_filter_creation.html
At work, to keep up with mailing lists and GitHub notifications, I had more
than fifty GMail filters. It wasn’t too bad to create them by hand with the
GMail UI, but I’m sure there were filters there
Link: https://nedbatchelder.com/blog/202103/gefilte_fish_gmail_filter_creation.html
At work, to keep up with mailing lists and GitHub notifications, I had more
than fifty GMail filters. It wasn’t too bad to create them by hand with the
GMail UI, but I’m sure there were filters there
Nedbatchelder
Gefilte Fish: gmail filter creation
Gefilte Fish is a Python module to create Gmail filters with code.
Mike Driscoll: PyDev of the Week: Yuxi (Hayden) Liu
Link: https://www.blog.pythonlibrary.org/2021/03/29/pydev-of-the-week-yuxi-hayden-liu/
This week we welcome Yuxi (Hayden) Liu as our PyDev of the Week! Hayden is the author of Python Machine Learning By Example and other books. You can connect with Hayden on LinkedIn.
Now let’s spend so
Link: https://www.blog.pythonlibrary.org/2021/03/29/pydev-of-the-week-yuxi-hayden-liu/
This week we welcome Yuxi (Hayden) Liu as our PyDev of the Week! Hayden is the author of Python Machine Learning By Example and other books. You can connect with Hayden on LinkedIn.
Now let’s spend so
Mouse Vs Python
PyDev of the Week: Yuxi (Hayden) Liu - Mouse Vs Python
Gain practical, real-world Python skills with our resources and pathway
Codementor: How to build Linkolearn.com - Part 5: Informative Pages
Link: https://www.codementor.io/abdurrahmaanj/how-to-build-linkolearn-com-part-5-informative-pages-1gfu4rhvag
In this part we are going to create a base template and set up the basic front page. Repo linkolearn05 (https://github.com/linkolearn/linkolearn05): Download, create venv, activate, install Shopyo...
Link: https://www.codementor.io/abdurrahmaanj/how-to-build-linkolearn-com-part-5-informative-pages-1gfu4rhvag
In this part we are going to create a base template and set up the basic front page. Repo linkolearn05 (https://github.com/linkolearn/linkolearn05): Download, create venv, activate, install Shopyo...
www.codementor.io
How to build Linkolearn.com - Part 5: Informative Pages | Codementor
In this part we are going to create a base template and set up the basic front page. Repo linkolearn05 (https://github.com/linkolearn/linkolearn05): Download, create venv, activate, install Shopyo...