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 .
AI Pool: Multiple cuda versions installed in machine
Link: https://ai-pool.com/d/multiple_cuda_versions_installed_in_machine
I'm using TensorFlow and I have some old projects which are written with TensorFlow 1.4 and older. Some of them don't work with a new version of Cuda . Can I have multiple Cuda with different ver
Link: https://ai-pool.com/d/multiple_cuda_versions_installed_in_machine
I'm using TensorFlow and I have some old projects which are written with TensorFlow 1.4 and older. Some of them don't work with a new version of Cuda . Can I have multiple Cuda with different ver
Ai-Pool
Multiple cuda versions installed in machine
I'm using TensorFlow and I have some old projects which are written with TensorFlow 1.4 and older. Some of them don't work with a new version of Cuda . Can I have multiple Cuda with different versions at the same time?
AI Pool: Why network overfits too early?
Link: https://ai-pool.com/d/why_network_overfits_too_early_
I want to train a neural network model, which basically does binary classification. I can't understand why my network overfits too early. I thought my network is too big and it memorizes the dataset,
Link: https://ai-pool.com/d/why_network_overfits_too_early_
I want to train a neural network model, which basically does binary classification. I can't understand why my network overfits too early. I thought my network is too big and it memorizes the dataset,
Ai-Pool
Why network overfits too early?
I want to train a neural network model, which basically does binary classification. I can't understand why my network overfits too early. I thought my network is too big and it memorizes the dataset, but when I make it smaller, it does not learn at all. …
AI Pool: What to do when you have small dataset
Link: https://ai-pool.com/d/what_to_do_when_you_have_small_dataset
I'm trying to train a classifier with a neural network, but I've got too small datasets. Each class has about ~1k examples. What is the best approach?...
Link: https://ai-pool.com/d/what_to_do_when_you_have_small_dataset
I'm trying to train a classifier with a neural network, but I've got too small datasets. Each class has about ~1k examples. What is the best approach?...
Ai-Pool
What to do when you have small dataset
I'm trying to train a classifier with a neural network, but I've got too small datasets. Each class has about ~1k examples. What is the best approach?
AI Pool: Tensorflow Lite Speed Report
Link: https://ai-pool.com/d/tensorflow-lite-speed-report
I've got a model in TensorFlow lite , it's not as fast as I wanted to be. I would like to know what the problem is, which layer makes it to be so slow. Is there a way, that I can test the speed fo
Link: https://ai-pool.com/d/tensorflow-lite-speed-report
I've got a model in TensorFlow lite , it's not as fast as I wanted to be. I would like to know what the problem is, which layer makes it to be so slow. Is there a way, that I can test the speed fo
Ai-Pool
Tensorflow Lite Speed Report
I've got a model in TensorFlow lite , it's not as fast as I wanted to be. I would like to know what the problem is, which layer makes it to be so slow. Is there a way, that I can test the speed for each layer ?
Stack Abuse: Extract and Process PDF Invoices in Python with borb
Link: https://stackabuse.com/automating-processing-pdf-invoices-in-python-with-borb/
Introduction
The Portable Document Format (PDF) is not a WYSIWYG (What You See is What You Get) format. It was developed to be platform-agnostic, independent of the underlying operating system and ren
Link: https://stackabuse.com/automating-processing-pdf-invoices-in-python-with-borb/
Introduction
The Portable Document Format (PDF) is not a WYSIWYG (What You See is What You Get) format. It was developed to be platform-agnostic, independent of the underlying operating system and ren
Stack Abuse
Extract and Process PDF Invoices in Python with borb
In this guide, we'll take a look at how to automate the processing and extraction of text from PDF Invoices in Python with the borb library.