Peter Bengtsson: fastest way to turn HTML into text in Python
Link: https://www.peterbe.com/plog/selectolax-or-pyquery
tl;dr; selectolax is best for stripping HTML down to plain text.
The problem is that I have 10,000+ HTML snippets that I need to index into Elasticsearch as plain text. (Before you ask, yes I know Ela
Link: https://www.peterbe.com/plog/selectolax-or-pyquery
tl;dr; selectolax is best for stripping HTML down to plain text.
The problem is that I have 10,000+ HTML snippets that I need to index into Elasticsearch as plain text. (Before you ask, yes I know Ela
Peterbe
fastest way to turn HTML into text in Python - Peterbe.com
Ben Cook: Calculating the norm of an array in NumPy: all about np.linalg.norm()
Link: https://jbencook.com/numpy-norm/
A norm is a measure of the size of a matrix or vector and you can compute it in NumPy with the np.linalg.norm() function[1]: import numpy as np x = np.eye(4) np.linalg.norm(x) # Expected result # 2.0
Link: https://jbencook.com/numpy-norm/
A norm is a measure of the size of a matrix or vector and you can compute it in NumPy with the np.linalg.norm() function[1]: import numpy as np x = np.eye(4) np.linalg.norm(x) # Expected result # 2.0
Jbencook
Calculating the norm of an array in NumPy: all about np.linalg.norm()
You can calculate the L1 and L2 norms of a vector or the Frobenius norm of a matrix in NumPy with np.linalg.norm(). This post explains the API and gives a few concrete usage examples.
Codementor: Introduction to HackerRank for Python Programmers - Compucademy
Link: https://www.codementor.io/info658/introduction-to-hackerrank-for-python-programmers-compucademy-1dz4fgk6dc
Learn how to use HackerRank to supercharge your Python programming skills, master data structures and algorithms and stand out to employers.
Link: https://www.codementor.io/info658/introduction-to-hackerrank-for-python-programmers-compucademy-1dz4fgk6dc
Learn how to use HackerRank to supercharge your Python programming skills, master data structures and algorithms and stand out to employers.
www.codementor.io
Introduction to HackerRank for Python Programmers - Compucademy | Codementor
Learn how to use HackerRank to supercharge your Python programming skills, master data structures and algorithms and stand out to employers.
Weekly Python StackOverflow Report: (cclviii) stackoverflow python report
Link: http://python-weekly.blogspot.com/2021/01/cclviii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-01-09 21:28:09 GMTWhy does popping from the original list make rev
Link: http://python-weekly.blogspot.com/2021/01/cclviii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-01-09 21:28:09 GMTWhy does popping from the original list make rev
Blogspot
(cclviii) stackoverflow python report
These are the ten most rated questions at Stack Overflow last week. Between brackets: [ question score / answers count] Build date: 2021...
Sandipan Dey: NLP with Bangla: semantic similarity with word2vec, generating Bangla song-like text with LSTM and sentiment analysis on astrological prediction dataset with LSTM
Link:
In this blog, we shall discuss on a few NLP techniques with Bangla language. We shall start with a demonstration on how to train a word2vec model with Bangla wiki corpus with tensorflow and how to vis
Link:
In this blog, we shall discuss on a few NLP techniques with Bangla language. We shall start with a demonstration on how to train a word2vec model with Bangla wiki corpus with tensorflow and how to vis
Peter Hoffmann: Convert the Himalayan Database to SQLite
Link: http://peter-hoffmann.com/2021/convert-the-himalayan-database-to-sqlite.html
The Himalayan database is a record of expeditions in the Nepalese Himalayas
and a unique source of knowledge about the history of the Himalaya
mountaineering. The database is based on the expedition a
Link: http://peter-hoffmann.com/2021/convert-the-himalayan-database-to-sqlite.html
The Himalayan database is a record of expeditions in the Nepalese Himalayas
and a unique source of knowledge about the history of the Himalaya
mountaineering. The database is based on the expedition a
Peter-Hoffmann
Convert the Himalayan Database to SQLite
Conversion of the Himalayan database of the legendary Elizabeth Hawley from FoxPro to SQLite.
Will McGugan: Growing money on trees with Python and Rich
Link: https://www.willmcgugan.com/blog/tech/post/rich-tree/
The latest version of Rich adds a tree view. Here's an example of one:
The labels of each branch in the tree can be text or anything else that rich can render. The guide lines can have a color per-b
Link: https://www.willmcgugan.com/blog/tech/post/rich-tree/
The latest version of Rich adds a tree view. Here's an example of one:
The labels of each branch in the tree can be text or anything else that rich can render. The guide lines can have a color per-b
Will McGugan Tech
Rendering a tree view in the terminal with Python and Rich
The latest version of Rich adds a tree view. Here's an example of one: The labels of each branch in the tree can be text or anything else that rich can render. The guide lines can have a color per-branch and one of three styles; normal, thick, and double…
Zato Blog: What is an API gateway?
Link: https://zato.io/blog/posts/what-is-an-api-gateway.html
In this article, we are going to use
Zato
in its capacity as a multi-protocol Python API gateway - we will integrate a few popular technologies, accepting requests sent
over protocols commonly used in
Link: https://zato.io/blog/posts/what-is-an-api-gateway.html
In this article, we are going to use
Zato
in its capacity as a multi-protocol Python API gateway - we will integrate a few popular technologies, accepting requests sent
over protocols commonly used in
zato.io
Zato Blog
ListenData: Learn Python for Data Science
Link: https://www.listendata.com/2020/10/learn-python-for-data-science.html
This tutorial would help you to learn Data Science with Python by examples. It is designed for beginners who want to get started with Data Science in Python. Python is an open source language and it i
Link: https://www.listendata.com/2020/10/learn-python-for-data-science.html
This tutorial would help you to learn Data Science with Python by examples. It is designed for beginners who want to get started with Data Science in Python. Python is an open source language and it i
ListenData
A Beginner's Guide to Python for Data Science
Python for Data Science Tutorial for Beginners. It would help you to get started with Data Science in Python. It includes various examples which would give you hands-on experience in Python
Mike Driscoll: PyDev of the Week: Ken Youens-Clark
Link: https://www.blog.pythonlibrary.org/2021/01/11/pydev-of-the-week-ken-youens-clark/
This week we welcome Ken Youens-Clark (@kycl4rk) as our PyDev of the Week! He is the author of Tiny Python Projects from Manning. He has done video lectures for each of his chapters on YouTube.
Let’s
Link: https://www.blog.pythonlibrary.org/2021/01/11/pydev-of-the-week-ken-youens-clark/
This week we welcome Ken Youens-Clark (@kycl4rk) as our PyDev of the Week! He is the author of Tiny Python Projects from Manning. He has done video lectures for each of his chapters on YouTube.
Let’s
Mouse Vs Python
PyDev of the Week: Ken Youens-Clark - Mouse Vs Python
Gain practical, real-world Python skills with our resources and pathway
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.