Matt Layman: Serving Static Files
Link: https://www.mattlayman.com/understand-django/serving-static-files/
In the previous Understand Django article, I described how Django gives us tools to run code for any request using the middleware system. Our next focus will be on static files. Static files are vital
Link: https://www.mattlayman.com/understand-django/serving-static-files/
In the previous Understand Django article, I described how Django gives us tools to run code for any request using the middleware system. Our next focus will be on static files. Static files are vital
Matt Layman
Serving Static Files
In this Understand Django article, we'll examine static files. Static files are critical to apps, but have little to do with Python code. We'll see what they are and what they do.
Real Python: Develop Data Visualization Interfaces in Python With Dash
Link: https://realpython.com/python-dash/
In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks. That’s no longer the case. Nowadays, you
Link: https://realpython.com/python-dash/
In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks. That’s no longer the case. Nowadays, you
Realpython
Develop Data Visualization Interfaces in Python With Dash – Real Python
In this tutorial, you'll learn how to build a dashboard using Python and Dash. Dash is a framework for building data visualization interfaces. It helps data scientists build fully interactive web applications quickly.
Python Bytes: #215 A Visual Introduction to NumPy
Link: https://pythonbytes.fm/episodes/show/215/a-visual-introduction-to-numpy
<p>Sponsored by us! Support our work through:</p>
<ul>
<li>Our <a href="https://training.talkpython.fm/"><strong>courses at Talk Python Training</strong></a></li>
<li><a href="https://pragprog.com/ti
Link: https://pythonbytes.fm/episodes/show/215/a-visual-introduction-to-numpy
<p>Sponsored by us! Support our work through:</p>
<ul>
<li>Our <a href="https://training.talkpython.fm/"><strong>courses at Talk Python Training</strong></a></li>
<li><a href="https://pragprog.com/ti
pythonbytes.fm
A Visual Introduction to NumPy
News and announcements from the Python community for the week of Jan 6th, 2021
EuroPython: EuroPython 2021: Format Poll
Link: https://blog.europython.eu/post/639651925251571712
We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week of July 26 - August 1 and we would like t
Link: https://blog.europython.eu/post/639651925251571712
We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week of July 26 - August 1 and we would like t
blog.europython.eu
EuroPython Blog
EuroPython 2021: Format Poll We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week of July 26 -...
Matt Layman: Testing Email Designs - Building SaaS #86
Link: https://www.mattlayman.com/building-saas/testing-email-designs/
In this episode, I worked on the sign up confirmation email design. We customized the template and used MailHog to test the flow and see how the email appeared. After working on the email design, we s
Link: https://www.mattlayman.com/building-saas/testing-email-designs/
In this episode, I worked on the sign up confirmation email design. We customized the template and used MailHog to test the flow and see how the email appeared. After working on the email design, we s
Matt Layman
Testing Email Designs - Building SaaS #86
In this episode, I worked on the sign up confirmation email design. We customized the template and used MailHog to test the flow and see how the email appeared. After working on the email design, we switched to the landing page of the site to work on the…
EuroPython Society: EuroPython 2021: Format Poll
Link: https://www.europython-society.org/post/639651963289698304
europython:We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week of July 26 - August 1 and we w
Link: https://www.europython-society.org/post/639651963289698304
europython:We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week of July 26 - August 1 and we w
www.europython-society.org
EuroPython Society
EuroPython 2021: Format Poll europython: “We are currently working out the format for this year’s online EuroPython conference. The conference will be run using online conference tools during the week...
Python Pool: MD5 Hash Function: Implementation in Python
Link: https://www.pythonpool.com/python-md5/?utm_source=rss&utm_medium=rss&utm_campaign=python-md5
Hello coders!! In this article, we will be learning about MD5 in Python. We will discuss in detail its meaning, implementation, and application. Now without wasting any time, let’s get into the topic.
Link: https://www.pythonpool.com/python-md5/?utm_source=rss&utm_medium=rss&utm_campaign=python-md5
Hello coders!! In this article, we will be learning about MD5 in Python. We will discuss in detail its meaning, implementation, and application. Now without wasting any time, let’s get into the topic.
Python Pool
MD5 Hash Function: Implementation in Python
Hello coders!! In this article, we will be learning about MD5 in Python. We will discuss in detail its meaning, implementation, and application. Now
PyCharm: Webinar: “Onboarding Contributors with Code With Me, GitHub, and Tasks in JetBrains IDEs” with Steve Piercy
Link: http://feedproxy.google.com/~r/Pycharm/~3/4yn9bwktHFI/
Let’s start 2021 with a fun one. How can tools help projects get contributors up to speed? In this webinar, Steve Piercy, a long-time maintainer with a popular open source project, shows us how he use
Link: http://feedproxy.google.com/~r/Pycharm/~3/4yn9bwktHFI/
Let’s start 2021 with a fun one. How can tools help projects get contributors up to speed? In this webinar, Steve Piercy, a long-time maintainer with a popular open source project, shows us how he use
JetBrains Blog
Webinar: “Onboarding Contributors with Code With Me, GitHub, and Tasks in JetBrains IDEs” with Steve Piercy – PyCharm Blog | JetBrains
Let's start 2021 with a fun one. How can tools help projects get contributors up to speed? In this webinar, Steve Piercy, a long-time maintainer with a popular open source project, shows us how he use
PyATL Bytecode: Review of Bayesian Statistics the Fun Way
Link: https://pyatl.dev/blog/review-bayesian-statistics-fun-way/17/
This is the kind of book you would hand to someone to bring statistics down to earth for them, making it easy without a lot of math. While people who are already familiar with Bayes or statistics mi
Link: https://pyatl.dev/blog/review-bayesian-statistics-fun-way/17/
This is the kind of book you would hand to someone to bring statistics down to earth for them, making it easy without a lot of math. While people who are already familiar with Bayes or statistics mi
pyatl.dev
Review of Bayesian Statistics the Fun Way
This is the kind of book you would hand to someone to bring statistics down to earth for them, making it easy without a lot of math. Whil…
PyATL Bytecode: Review of Impractical Python Projects
Link: https://pyatl.dev/blog/review-impractical-python-projects/18/
The first introduction that you read about python should teach you the base language. This book is here to teach you all of the things that can be done with that language and how to make it better. Th
Link: https://pyatl.dev/blog/review-impractical-python-projects/18/
The first introduction that you read about python should teach you the base language. This book is here to teach you all of the things that can be done with that language and how to make it better. Th
pyatl.dev
Review of Impractical Python Projects
The first introduction that you read about python should teach you the base language. This book is here to teach you all of the things that…
PyATL Bytecode: Review of Powershell for SysAdmins
Link: https://pyatl.dev/blog/powershell-sysadmins/19/
Review of “Powershell for SysAdmins”
By Ian Mizer
I would call this one of the perfect books to pick up when you want to get a first glance at the wonders of Powershell. The book comes in 3 part
Link: https://pyatl.dev/blog/powershell-sysadmins/19/
Review of “Powershell for SysAdmins”
By Ian Mizer
I would call this one of the perfect books to pick up when you want to get a first glance at the wonders of Powershell. The book comes in 3 part
pyatl.dev
Review of Powershell for SysAdmins
Review of “Powershell for SysAdmins”
By Ian Mizer
I would call this one of the perfect books to pick …
By Ian Mizer
I would call this one of the perfect books to pick …
PyATL Bytecode: Review of Beyond the Basic Stuff with Python
Link: https://pyatl.dev/blog/review-beyond-basic-stuff-python/20/
Review of “Beyond the Basic Stuff with Python”
By Ian Mizer
This is the kind of book every python developer can use and every developer should buy. This book tries to teach the readers the funda
Link: https://pyatl.dev/blog/review-beyond-basic-stuff-python/20/
Review of “Beyond the Basic Stuff with Python”
By Ian Mizer
This is the kind of book every python developer can use and every developer should buy. This book tries to teach the readers the funda
pyatl.dev
Review of Beyond the Basic Stuff with Python
Review of “Beyond the Basic Stuff with Python”
By Ian Mizer
This is the kind of book every python dev…
By Ian Mizer
This is the kind of book every python dev…
Python Circle: Virtual Environment in Python - A Pocket Guide
Link: https://pythoncircle.com/post/404/virtual-environment-in-python-a-pocket-guide/
A complete guide to start with virtual environments in python. How to install virtual environments. How to create a new virtual environment. Benefits of using virtual environment. docker vs virtual en
Link: https://pythoncircle.com/post/404/virtual-environment-in-python-a-pocket-guide/
A complete guide to start with virtual environments in python. How to install virtual environments. How to create a new virtual environment. Benefits of using virtual environment. docker vs virtual en
Python Circle
Virtual Environment in Python - A Pocket Guide
A complete guide to start with virtual environments in python. How to install virtual environments. How to create a new virtual environment. Benefits of using virtual environment. docker vs virtual environment
Real Python: The Real Python Podcast – Episode #42: What Is Data Engineering and Researching 10 Million Jupyter Notebooks
Link: https://realpython.com/podcasts/rpp/42/
Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and stor
Link: https://realpython.com/podcasts/rpp/42/
Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and stor
Realpython
Episode #42: What Is Data Engineering and Researching 10 Million Jupyter Notebooks – The Real Python Podcast
Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and storage of data. This week on the show, David Amos is back…
Stack Abuse: Comparing Datetimes in Python - With and Without Timezones
Link: https://stackabuse.com/comparing-datetimes-in-python-with-and-without-timezones/
Introduction
When working with dates, oftentimes, you'd like to know if a given date comes before or after another date. We can get these answers by comparing dates.
In this article, we will learn how
Link: https://stackabuse.com/comparing-datetimes-in-python-with-and-without-timezones/
Introduction
When working with dates, oftentimes, you'd like to know if a given date comes before or after another date. We can get these answers by comparing dates.
In this article, we will learn how
Stack Abuse
Comparing Datetimes in Python with and without Timezones
In this tutorial, we'll go over how to compare dates in Python, with and without timezones, using pytz, with examples.
eGenix.com: Python Meeting Düsseldorf - 2021-01-13
Link: https://www.egenix.com/company/news/Python-Meeting-Duesseldorf-2021-01-13
The following text is in German, since we're announcing a regional user group meeting in Düsseldorf, Germany.
Ankündigung
Das Python Meeting Düsseldorf findet dieses Mal online statt.
13.01.2021
18
Link: https://www.egenix.com/company/news/Python-Meeting-Duesseldorf-2021-01-13
The following text is in German, since we're announcing a regional user group meeting in Düsseldorf, Germany.
Ankündigung
Das Python Meeting Düsseldorf findet dieses Mal online statt.
13.01.2021
18
eGenix.com
eGenix.com: Python Meeting Düsseldorf - 2021-01-13
We are pleased to announce the next Python Meeting Düsseldorf on 2021-01-13.
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...