Podcast.__init__: Network Analysis At The Speed Of C With The Power Of Python Using NetworKit
Link: https://www.pythonpodcast.com/networkit-efficient-network-analysis-episode-327/
Analysing networks is a growing area of research in academia and industry. In order to be able to answer questions about large or complex relationships it is necessary to have fast and efficient algor
Link: https://www.pythonpodcast.com/networkit-efficient-network-analysis-episode-327/
Analysing networks is a growing area of research in academia and industry. In order to be able to answer questions about large or complex relationships it is necessary to have fast and efficient algor
The Python Podcast.__init__
The Python Podcast.__init__: Network Analysis At The Speed Of C With The Power Of Python Using NetworKit
An interview with Eugenio Angriman about the NetworKit library and how you can use it to gain insights into large volumes of networked data
Moshe Zadka: Better Outage Retrospectives
Link: https://orbifold.xyz/better-outage-retrospectives.html
Originally published on
Enable Architect.
Modern computer systems supply business-critical services everywhere
-- from Amazon providing shopping services to
Healthcare.gov
providing enrollment in heal
Link: https://orbifold.xyz/better-outage-retrospectives.html
Originally published on
Enable Architect.
Modern computer systems supply business-critical services everywhere
-- from Amazon providing shopping services to
Healthcare.gov
providing enrollment in heal
orbifold.xyz
Orbifolds and Other Games - Better Outage Retrospectives
Mike Driscoll: PyDev of the Week: Daniel Zingaro
Link: https://www.blog.pythonlibrary.org/2021/08/16/pydev-of-the-week-daniel-zingaro/
This week we welcome Daniel Zingaro as our PyDev of the Week! Daniel is the author of Learn to Code by Solving Problems: A Python Programming Primer and Algorithmic Thinking from No Starch Books. If y
Link: https://www.blog.pythonlibrary.org/2021/08/16/pydev-of-the-week-daniel-zingaro/
This week we welcome Daniel Zingaro as our PyDev of the Week! Daniel is the author of Learn to Code by Solving Problems: A Python Programming Primer and Algorithmic Thinking from No Starch Books. If y
Mouse Vs Python
PyDev of the Week: Daniel Zingaro
This week I interview Daniel Zingaro, author of Learn to Code by Solving Problems: A Python Programming Primer from No Starch!
Real Python: Python News: What's New From July 2021?
Link: https://realpython.com/python-news-july-2021/
July 2021 was an exciting month for the Python community! The Python Software Foundation hired the first-ever CPython Developer-in-Residence—a full-time paid position devoted to CPython development. I
Link: https://realpython.com/python-news-july-2021/
July 2021 was an exciting month for the Python community! The Python Software Foundation hired the first-ever CPython Developer-in-Residence—a full-time paid position devoted to CPython development. I
Realpython
Python News: What's New From July 2021 – Real Python
The Python community saw some great changes in July 2021. In this article, you'll get up to speed on the big-ticket items that happened this past month, including some news about the CPython Developer-in-Residence position at the Python Software Foundation.
Python Morsels: Using the walrus operator
Link: https://www.pythonmorsels.com/topics/using-walrus-operator/
Transcript
Let's talk about Python's walrus operator.
An assignment followed by a conditional check
We have a function called get_quantitiy that accepts a string argument which represents a number
Link: https://www.pythonmorsels.com/topics/using-walrus-operator/
Transcript
Let's talk about Python's walrus operator.
An assignment followed by a conditional check
We have a function called get_quantitiy that accepts a string argument which represents a number
Pythonmorsels
Using the walrus operator
John Ludhi/nbshare.io: Python Iterators And Generators
Link: https://www.nbshare.io/notebook/150586282/Python-Iterators-And-Generators/
Iterators and Generators
In this notebook, we would explore the difference between iterators and generators, how to use them and also the best use cases for each of them.
Iterat
Link: https://www.nbshare.io/notebook/150586282/Python-Iterators-And-Generators/
Iterators and Generators
In this notebook, we would explore the difference between iterators and generators, how to use them and also the best use cases for each of them.
Iterat
Python for Beginners: How to Split a String Between Characters in Python
Link: https://www.pythonforbeginners.com/basics/how-to-split-a-string-between-characters-in-python
In this guide to splitting strings in Python, we’ll explore the various ways we can use the language to precisely split a string. When we split strings between characters in Python, it’s possible to e
Link: https://www.pythonforbeginners.com/basics/how-to-split-a-string-between-characters-in-python
In this guide to splitting strings in Python, we’ll explore the various ways we can use the language to precisely split a string. When we split strings between characters in Python, it’s possible to e
PythonForBeginners.com
How to Split a String Between Characters in Python - PythonForBeginners.com
How to Split a String Between Characters in Python will help you improve your python skills with easy to follow examples and tutorials. Click here to view code examples.
Real Python: Reading and Writing Files With Pandas
Link: https://realpython.com/courses/reading-writing-files-pandas/
Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pand
Link: https://realpython.com/courses/reading-writing-files-pandas/
Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pand
Realpython
Reading and Writing Files With pandas – Real Python
In this course, you'll learn about the pandas IO tools API and how you can use it to read and write files. You'll use the pandas read_csv() function to work with CSV files. You'll also cover similar methods for efficiently working with Excel, CSV, JSON, HTML…
Stack Abuse: Depth-First Search (DFS) in Python - Theory and Implementation
Link: https://stackabuse.com/depth-first-search-dfs-in-python-theory-and-implementation/
Introduction
Originating from mathematics, graphs are now widely used data structures in Computer Science. One of the first problems we encounter when constructing any algorithm regarding Graph proces
Link: https://stackabuse.com/depth-first-search-dfs-in-python-theory-and-implementation/
Introduction
Originating from mathematics, graphs are now widely used data structures in Computer Science. One of the first problems we encounter when constructing any algorithm regarding Graph proces
Stack Abuse
Graphs in Python - Theory and Implementation
Graphs are an extremely versatile data structure. More so than most people realize! Graphs can be used to model practically anything, given their nature of mode...
PyCoder’s Weekly: Issue #486 (Aug. 17, 2021)
Link: https://pycoders.com/issues/486
#486 – AUGUST 17, 2021 View in Browser » Introducing the Python Launcher for Unix Python Core Developer and Steering Council member Brett Cannon recently released his Python Launcher for UNIX pr
Link: https://pycoders.com/issues/486
#486 – AUGUST 17, 2021 View in Browser » Introducing the Python Launcher for Unix Python Core Developer and Steering Council member Brett Cannon recently released his Python Launcher for UNIX pr
Pycoders
PyCoder’s Weekly | Issue #486
Issue #486 of the PyCoder’s Weekly newsletter, published Aug. 17, 2021.
Python Software Foundation: Shamika Mohanan has joined the PSF as Packaging Project Manager
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/cVoVg81ibV0/shamika-mohanan-has-joined-psf-as.html
The Python Software Foundation (PSF) is excited to welcome Shamika Mohanan as our new Packaging Project Manager! You can learn specifics about the role in our post announcing the position.Recognizing
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/cVoVg81ibV0/shamika-mohanan-has-joined-psf-as.html
The Python Software Foundation (PSF) is excited to welcome Shamika Mohanan as our new Packaging Project Manager! You can learn specifics about the role in our post announcing the position.Recognizing
Blogspot
Shamika Mohanan has joined the PSF as Packaging Project Manager
The Python Software Foundation (PSF) is excited to welcome Shamika Mohanan as our new Packaging Project Manager! You can learn specifics abo...
Quansight Labs Blog: Is GitHub Actions suitable for running benchmarks?
Link: https://labs.quansight.org/blog/2021/08/github-actions-benchmarks/
Benchmarking software is a tricky business. For robust results, you need dedicated
hardware that only runs the benchmarking suite under controlled conditions. No other
processes! No OS updates! Nothi
Link: https://labs.quansight.org/blog/2021/08/github-actions-benchmarks/
Benchmarking software is a tricky business. For robust results, you need dedicated
hardware that only runs the benchmarking suite under controlled conditions. No other
processes! No OS updates! Nothi
Quansight Labs
Is GitHub Actions suitable for running benchmarks?
Benchmarking software is a tricky business. For robust results, you need dedicated
hardware that only runs the benchmarking suite under controlled conditions. No other
processes! No OS updates! Nothin
hardware that only runs the benchmarking suite under controlled conditions. No other
processes! No OS updates! Nothin
Lucas Cimon: Images libres de droits
Link: https://chezsoi.org/lucas/blog/images-libres-de-droits.html
Ce blog voit l'apparition d'une nouvelle page permanente : Images libres de droits.
Cette page recense des site web, des illustrateurs, des icônes et des polices de caractères libres de droits.
Depui
Link: https://chezsoi.org/lucas/blog/images-libres-de-droits.html
Ce blog voit l'apparition d'une nouvelle page permanente : Images libres de droits.
Cette page recense des site web, des illustrateurs, des icônes et des polices de caractères libres de droits.
Depui
Ludochaordic
Images libres de droits
Ce blog voit l'apparition d'une nouvelle page permanente : Images libres de droits. Cette page recense des site web, des illustrateurs, des icônes et des polices de caractères libres de droits. Depuis octobre 2018, j'ai rassemblé une liste d'artistes dont…
Python for Beginners: What is Namespace in Python?
Link: https://www.pythonforbeginners.com/basics/what-is-namespace-in-python
Namespaces are one honking great idea — let’s do more of those! Namespaces are the constructs used for organizing the names assigned to the objects in a python program. In this article, we will unders
Link: https://www.pythonforbeginners.com/basics/what-is-namespace-in-python
Namespaces are one honking great idea — let’s do more of those! Namespaces are the constructs used for organizing the names assigned to the objects in a python program. In this article, we will unders
PythonForBeginners.com
What is Namespace in Python? - PythonForBeginners.com
What is Namespace in Python? will help you improve your python skills with easy to follow examples and tutorials. Click here to view code examples.
Daniel Roy Greenfeld: The Thirty Minute Rule
Link: https://daniel.feldroy.com/posts/thirty-minute-rule
When it comes to coding (or anything related to it) there's a rule I believe in with all my heart. It's the Thirty Minute Rule.
The rule is that if anyone gets stuck on something for more than 30 minu
Link: https://daniel.feldroy.com/posts/thirty-minute-rule
When it comes to coding (or anything related to it) there's a rule I believe in with all my heart. It's the Thirty Minute Rule.
The rule is that if anyone gets stuck on something for more than 30 minu
https://daniel.feldroy.com
The Thirty Minute Rule
What to do when you get stuck on a coding issue for more than 30 minutes.
Podcast.__init__: Making Automated Machine Learning More Accessible With EvalML
Link: https://www.pythonpodcast.com/evalml-automated-machine-learning-episode-328/
Building a machine learning model is a process that requires a lot of iteration and trial and error. For certain classes of problem a large portion of the searching and tuning can be automated. This a
Link: https://www.pythonpodcast.com/evalml-automated-machine-learning-episode-328/
Building a machine learning model is a process that requires a lot of iteration and trial and error. For certain classes of problem a large portion of the searching and tuning can be automated. This a
The Python Data & Science Podcast.__init__
Making Automated Machine Learning More Accessible With EvalML - Episode 328
Building a machine learning model is a process that requires a lot of iteration and trial and error. For certain classes of problem a large portion of the searching and tuning can be automated. This allows data scientists to focus their time on more complex…
Codementor: Earth Observation using Python
Link: https://www.codementor.io/thanassisdrivas/earth-observation-using-python-1kxcjrdlrd
Examples of Earth Observation applications using Python and Satellite Data.
Link: https://www.codementor.io/thanassisdrivas/earth-observation-using-python-1kxcjrdlrd
Examples of Earth Observation applications using Python and Satellite Data.
www.codementor.io
Earth Observation using Python | Codementor
Examples of Earth Observation applications using Python and Satellite Data.
John Ludhi/nbshare.io: Python Sort And Sorted
Link: https://www.nbshare.io/notebook/520115360/Python-Sort-And-Sorted/
Python Sort And Sorted
In this notebook, we will learn about how to use Python sort and sorted methods to sort different types of data structures.
Let us start with simple examp
Link: https://www.nbshare.io/notebook/520115360/Python-Sort-And-Sorted/
Python Sort And Sorted
In this notebook, we will learn about how to use Python sort and sorted methods to sort different types of data structures.
Let us start with simple examp
Podcast.__init__: Growing And Supporting The Data Science Community At Anaconda
Link: https://www.pythonpodcast.com/anaconda-python-data-science-episode-328/
Data scientists are tasked with answering challenging questions using data that is often messy and incomplete. Anaconda is on a mission to make the lives of data professionals more manageable through
Link: https://www.pythonpodcast.com/anaconda-python-data-science-episode-328/
Data scientists are tasked with answering challenging questions using data that is often messy and incomplete. Anaconda is on a mission to make the lives of data professionals more manageable through
The Python Podcast.__init__
The Python Podcast.__init__: Growing And Supporting The Data Science Community At Anaconda
An interview with Kevin Goldsmith, CTO of Anaconda, about the challenges that data scientists are faced with, how the role is continuing to evolve, and the tools and educational resources that they are building to support the community
AI Pool: Cuda Version
Link: https://ai-pool.com/d/cuda_version
How to know the version of Cuda installed on your pc? I'm using Keras with TensorFlow back-end, but I need to detect the version of Cuda in my code. It does not matter the solution is with Keras
Link: https://ai-pool.com/d/cuda_version
How to know the version of Cuda installed on your pc? I'm using Keras with TensorFlow back-end, but I need to detect the version of Cuda in my code. It does not matter the solution is with Keras
Ai-Pool
Cuda Version
How to know the version of Cuda installed on your pc? I'm using Keras with TensorFlow back-end, but I need to detect the version of Cuda in my code. It does not matter the solution is with Keras or TensorFlow .