Chris Moffitt: Pandas DataFrame Visualization Tools
Link: https://pbpython.com/dataframe-gui-overview.html
Introduction
I have talked quite a bit about how pandas is a great alternative to Excel for many tasks.
One of Excel’s benefits is that it offers an intuitive and powerful graphical interface for
vie
Link: https://pbpython.com/dataframe-gui-overview.html
Introduction
I have talked quite a bit about how pandas is a great alternative to Excel for many tasks.
One of Excel’s benefits is that it offers an intuitive and powerful graphical interface for
vie
Pbpython
Pandas DataFrame Visualization Tools
This article summarizes options for using a GUI to interactively view and filter pandas DataFrames.
Stack Abuse: Python: Update All Packages With pip-review
Link: https://stackabuse.com/python-update-all-packages-with-pip-review/
Introduction
Updating Python packages can be a hassle. There are many of them - it's hard to keep track of all the newest versions, and even when you decide what to update, you still have to update ea
Link: https://stackabuse.com/python-update-all-packages-with-pip-review/
Introduction
Updating Python packages can be a hassle. There are many of them - it's hard to keep track of all the newest versions, and even when you decide what to update, you still have to update ea
Stack Abuse
Python: Update All Packages with pip-review
In this tutorial, we'll be going over a great simple tool - pip-review, to automatically update all Python packages.
Python⇒Speed: It's time to switch to Docker BuildKit
Link: https://pythonspeed.com/articles/docker-buildkit/
Building Docker images can be slow, and Docker’s build system is also missing some critical security features, in particular the ability to use build secrets without leaking them.
So over the past few
Link: https://pythonspeed.com/articles/docker-buildkit/
Building Docker images can be slow, and Docker’s build system is also missing some critical security features, in particular the ability to use build secrets without leaking them.
So over the past few
Python⇒Speed
Docker BuildKit: faster builds, new features, and now it’s stable
BuildKit is Docker’s new system for building images. It’s faster, has previously missing security featuers, and it’s finally stable.
Matt Layman: Episode 11 - Here, There, Middleware
Link: https://www.mattlayman.com/django-riffs/here-there-middleware/
On this episode, we will investigate Django middleware and see where it goes in your project. In the process, you’ll see why middleware is useful and how you can work with it.
Listen at djangoriffs.co
Link: https://www.mattlayman.com/django-riffs/here-there-middleware/
On this episode, we will investigate Django middleware and see where it goes in your project. In the process, you’ll see why middleware is useful and how you can work with it.
Listen at djangoriffs.co
Matt Layman
Episode 11 - Here, There, Middleware
On this episode, we will investigate Django middleware and see where it goes in your project. In the process, you'll see why middleware is useful and how you can work with it.
Real Python: NumPy Tutorial: Your First Steps Into Data Science in Python
Link: https://realpython.com/numpy-tutorial/
NumPy is a Python library that provides a simple yet powerful data structure: the n-dimensional array. This is the foundation on which almost all the power of Python’s data science toolkit is built, a
Link: https://realpython.com/numpy-tutorial/
NumPy is a Python library that provides a simple yet powerful data structure: the n-dimensional array. This is the foundation on which almost all the power of Python’s data science toolkit is built, a
Realpython
NumPy Tutorial: Your First Steps Into Data Science in Python – Real Python
In this tutorial, you'll learn everything you need to know to get up and running with NumPy, Python's de facto standard for multidimensional data arrays. NumPy is the foundation for most data science in Python, so if you're interested in that field, then…
Mike Driscoll: Get Python 101 2nd Edition FREE for 72 Hours!
Link: https://www.blog.pythonlibrary.org/2021/01/11/get-python-101-2nd-edition-free-for-72-hours/
Python 101 2nd Edition is the latest version of Python 101. This book is meant to help you learn Python and then go beyond the basics. I’ve always felt that a beginner’s book should teach more than sy
Link: https://www.blog.pythonlibrary.org/2021/01/11/get-python-101-2nd-edition-free-for-72-hours/
Python 101 2nd Edition is the latest version of Python 101. This book is meant to help you learn Python and then go beyond the basics. I’ve always felt that a beginner’s book should teach more than sy
Mouse Vs Python
Get Python 101 2nd Edition FREE for 72 Hours! - Mouse Vs Python
Gain practical, real-world Python skills with our resources and pathway
Lucas Cimon: fpdf2 release 2.2.0
Link: https://chezsoi.org/lucas/blog/fpdf2-release-2-2-0.html
Today, I am happy to announce a new version 2.2.0 of fpdf2 !
https://github.com/alexanderankin/pyfpdf/
Doc: https://alexanderankin.github.io/pyfpdf/
During the last few months, I contributed a few
Link: https://chezsoi.org/lucas/blog/fpdf2-release-2-2-0.html
Today, I am happy to announce a new version 2.2.0 of fpdf2 !
https://github.com/alexanderankin/pyfpdf/
Doc: https://alexanderankin.github.io/pyfpdf/
During the last few months, I contributed a few
Ludochaordic
Fpdf2 release 2.2.0
Today, I am happy to announce a new version 2.2.0 of fpdf2 ! https://github.com/alexanderankin/pyfpdf/ Doc: https://alexanderankin.github.io/pyfpdf/ During the last few months, I contributed a few improvements to fpdf2, David Ankin fork of PyFPDF, the user…
Talk Python to Me: #298 Building ML teams and finding ML jobs
Link: https://talkpython.fm/episodes/show/298/building-ml-teams-and-finding-ml-jobs
Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML posi
Link: https://talkpython.fm/episodes/show/298/building-ml-teams-and-finding-ml-jobs
Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML posi
talkpython.fm
Building ML teams and finding ML jobs
Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML positions, and teach ML at Stanford.
Ben Cook: Reshaping arrays: How the NumPy reshape operation works
Link: https://jbencook.com/numpy-reshape/
The NumPy reshape operation changes the shape of an array so that it has a new (but compatible) shape. The rules are: The number of elements stays the same. The order of the elements stays the same[1]
Link: https://jbencook.com/numpy-reshape/
The NumPy reshape operation changes the shape of an array so that it has a new (but compatible) shape. The rules are: The number of elements stays the same. The order of the elements stays the same[1]
Jbencook
Reshaping arrays: How the NumPy reshape operation works
This post explains how the NumPy reshape operation works, how to use it and gotchas to watch out for.
Matthew Wright: Indexing and Selecting in Pandas by Callable
Link: https://www.wrighters.io/2021/01/11/indexing-and-selecting-in-pandas-by-callable/
In pandas, you can use callables where indexers are accepted. It turns out that can be handy for a pretty common use case.The post Indexing and Selecting in Pandas by Callable appeared first on wright
Link: https://www.wrighters.io/2021/01/11/indexing-and-selecting-in-pandas-by-callable/
In pandas, you can use callables where indexers are accepted. It turns out that can be handy for a pretty common use case.The post Indexing and Selecting in Pandas by Callable appeared first on wright
wrighters.io
Indexing and Selecting in Pandas by Callable - wrighters.io
In pandas, you can use callables where indexers are accepted. It turns out that can be handy for a pretty common use case.
Podcast.__init__: Project Scaffolding That Evolves With Your Software Using Copier
Link: https://www.pythonpodcast.com/copier-project-scaffolding-episode-297/
Every software project has a certain amount of boilerplate to handle things like linting rules, test configuration, and packaging. Rather than recreate everything manually every time you start a new p
Link: https://www.pythonpodcast.com/copier-project-scaffolding-episode-297/
Every software project has a certain amount of boilerplate to handle things like linting rules, test configuration, and packaging. Rather than recreate everything manually every time you start a new p
The Python Podcast.__init__
The Python Podcast.__init__: Project Scaffolding That Evolves With Your Software Using Copier
An interview about how the Copier project provides an advanced project scaffolding toolchain that allows you to evolve your software along with your templates.
Wingware: Wing Python IDE 7.2.8 - January 12, 2021
Link: https://wingware.com/news/2021-01-12
Wing 7.2.8 fixes reformating selections for PEP8, corrects completion of code reformatting
in remote files when code is unchanged, fixes problems analyzing incomplete 'def async'
statements, correctly
Link: https://wingware.com/news/2021-01-12
Wing 7.2.8 fixes reformating selections for PEP8, corrects completion of code reformatting
in remote files when code is unchanged, fixes problems analyzing incomplete 'def async'
statements, correctly
Wingware
Wing Python IDE 7.2.8 - January 12, 2021 - Wing Python IDE
Wing 7.2.8 improves code reformatting, refactoring, code analysis & code
warnings, adds a preference to control the delay before tooltips are shown, and makes a
number of other usability improvements.
warnings, adds a preference to control the delay before tooltips are shown, and makes a
number of other usability improvements.
Python Pool: Illustrating The Hangman Game in Python
Link: https://www.pythonpool.com/python-hangman/?utm_source=rss&utm_medium=rss&utm_campaign=python-hangman
Hello coders!! In this article, we will be learning about the game hangman and its coding on python. At first, we will understand the game rules and learn the step-by-step implementation of the game i
Link: https://www.pythonpool.com/python-hangman/?utm_source=rss&utm_medium=rss&utm_campaign=python-hangman
Hello coders!! In this article, we will be learning about the game hangman and its coding on python. At first, we will understand the game rules and learn the step-by-step implementation of the game i
Python Pool
Illustrating The Hangman Game in Python
Hello coders!! In this article, we will be learning about the game hangman and its coding on python. At first, we will understand the game rules and learn
Python Pool: NumPy Identity Matrix | NumPy identity() Explained in Python
Link: https://www.pythonpool.com/numpy-identity-matrix/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-identity-matrix
Hello geeks and welcome in this article, we will cover the NumPy identity matrix denoted as NumPy identity(). Along with that, for an overall better understanding, we will also look at its syntax and
Link: https://www.pythonpool.com/numpy-identity-matrix/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-identity-matrix
Hello geeks and welcome in this article, we will cover the NumPy identity matrix denoted as NumPy identity(). Along with that, for an overall better understanding, we will also look at its syntax and
Python Pool
NumPy Identity Matrix | NumPy identity() Explained in Python
Hello geeks and welcome in this article, we will cover the NumPy identity matrix denoted as NumPy identity(). Along with that, for an overall better
Python Pool: NumPy argpartition() | Explained with examples
Link: https://www.pythonpool.com/numpy-argpartition/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-argpartition
Hello geeks and welcome in this article, we will cover the NumPy argpartition(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see t
Link: https://www.pythonpool.com/numpy-argpartition/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-argpartition
Hello geeks and welcome in this article, we will cover the NumPy argpartition(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see t
Python Pool
NumPy argpartition() | Explained with examples
Hello geeks and welcome in this article, we will cover the NumPy argpartition(). Along with that, for an overall better understanding, we will also look
Python Pool: Numpy Repeat Function Explained In-depth in Python
Link: https://www.pythonpool.com/numpy-repeat/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-repeat
Hello geeks and welcome in this article, we will cover the NumPy repeat(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the app
Link: https://www.pythonpool.com/numpy-repeat/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-repeat
Hello geeks and welcome in this article, we will cover the NumPy repeat(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the app
Python Pool
Numpy Repeat Function Explained In-depth in Python
Hello geeks and welcome in this article, we will cover the NumPy repeat(). Along with that, for an overall better understanding, we will also look at
Python Pool: NumPy isclose Explained with examples in Python
Link: https://www.pythonpool.com/numpy-isclose/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-isclose
Hello geeks and welcome in this article, we will cover the NumPy isclose(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the ap
Link: https://www.pythonpool.com/numpy-isclose/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-isclose
Hello geeks and welcome in this article, we will cover the NumPy isclose(). Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the ap
Python Pool
NumPy isclose Explained with examples in Python
Hello geeks and welcome in this article, we will cover the NumPy isclose(). Along with that, for an overall better understanding, we will also look
Python Pool: Python dateutil Module: Explanation and Examples
Link: https://www.pythonpool.com/python-dateutil/?utm_source=rss&utm_medium=rss&utm_campaign=python-dateutil
Hello coders!! In this article, we will understand the python dateutil module in detail. Modules in Python are files that contain certain statements and definitions. These modules are used to break do
Link: https://www.pythonpool.com/python-dateutil/?utm_source=rss&utm_medium=rss&utm_campaign=python-dateutil
Hello coders!! In this article, we will understand the python dateutil module in detail. Modules in Python are files that contain certain statements and definitions. These modules are used to break do
Python Pool
Python dateutil Module: Explanation and Examples
Hello coders!! In this article, we will understand the python dateutil module in detail. Modules in Python are files that contain certain statements and
Ben Cook: The easiest way to rename a column in pandas
Link: https://jbencook.com/pandas-rename-column/
Given a DataFrame df with columns ["date", "region", "revenue"], you can rename the “revenue” column to “sales” by passing a mapping to the .rename() method: import pandas as pd df = pd.read_csv("http
Link: https://jbencook.com/pandas-rename-column/
Given a DataFrame df with columns ["date", "region", "revenue"], you can rename the “revenue” column to “sales” by passing a mapping to the .rename() method: import pandas as pd df = pd.read_csv("http
jbencook
The easiest way to rename a column in Pandas
Two easy recipes for renaming column(s) in a Pandas DataFrame.
Stack Abuse: How to Randomly Select Elements From a List in Python
Link: https://stackabuse.com/how-to-randomly-select-elements-from-a-list-in-python/
Introduction
Selecting a random element or value from a list is a common task - be it for randomized result from a list of recommendations or just a random prompt.
In this article, we'll take a look a
Link: https://stackabuse.com/how-to-randomly-select-elements-from-a-list-in-python/
Introduction
Selecting a random element or value from a list is a common task - be it for randomized result from a list of recommendations or just a random prompt.
In this article, we'll take a look a
Stack Abuse
How to Randomly Select Elements From a List in Python
In this article, we'll take a look at *how to randomly select elements from a list in Python* - both singular random elements, as well as multiple elements - with and without repetition.