Real Python: Stacks and Queues: Selecting the Ideal Data Structure
Link: https://realpython.com/courses/stacks-queues-ideal-data-structure/
There are a variety of ways for storing and managing data in your program and the choice of the right data structure has an effect on the readability of your code, ease of writing, and performance. Py
Link: https://realpython.com/courses/stacks-queues-ideal-data-structure/
There are a variety of ways for storing and managing data in your program and the choice of the right data structure has an effect on the readability of your code, ease of writing, and performance. Py
Realpython
Stacks and Queues: Selecting the Ideal Data Structure – Real Python
In this course, you'll learn about three of Python's data structures: stacks, queue and priority queues. You'll look at multiple types and classes for all of these and learn which implementations are best for your specific use cases.
PyCoder’s Weekly: Issue #472 (May 11, 2021)
Link: https://pycoders.com/issues/472
#472 – MAY 11, 2021 View in Browser » The Quest for Faster Python There seems to be a lot going on in the Python JIT compiler space. Facebook recently open-sourced Instagram’s Cinder runtime, Py
Link: https://pycoders.com/issues/472
#472 – MAY 11, 2021 View in Browser » The Quest for Faster Python There seems to be a lot going on in the Python JIT compiler space. Facebook recently open-sourced Instagram’s Cinder runtime, Py
Pycoders
PyCoder’s Weekly | Issue #472
Issue #472 of the PyCoder’s Weekly newsletter, published May 11, 2021.
AI Pool: Understanding of Regularization in Neural Networks
Link: https://ai-pool.com/a/s/understanding-of-regularization-in-neural-networks
This article includes the different techniques of regularization like Data Augmentation, L1, L2, Dropout, and Early Stopping
Link: https://ai-pool.com/a/s/understanding-of-regularization-in-neural-networks
This article includes the different techniques of regularization like Data Augmentation, L1, L2, Dropout, and Early Stopping
Ai-Pool
Understanding of Regularization in Neural Networks
This article includes the different techniques of regularization like Data Augmentation, L1, L2, Dropout, and Early Stopping
Grant Rettke: A Hand-Held Mobile Computer Running Python
Link: https://www.wisdomandwonder.com/programming-language/13265/a-hand-held-mobile-computer-running-python?utm_source=rss&utm_medium=rss&utm_campaign=a-hand-held-mobile-computer-running-python
Here is a hand-held mobile computer running Python. It does GRAPHING pretty well too!
Link: https://www.wisdomandwonder.com/programming-language/13265/a-hand-held-mobile-computer-running-python?utm_source=rss&utm_medium=rss&utm_campaign=a-hand-held-mobile-computer-running-python
Here is a hand-held mobile computer running Python. It does GRAPHING pretty well too!
Wisdom And Wonder
A Hand-Held Mobile Computer Running Python
Here is a hand-held mobile computer running Python. It does GRAPHING pretty well too!
Mike Driscoll: Converting an Image to ASCII with Python
Link: https://www.blog.pythonlibrary.org/2021/05/11/converting-an-image-to-ascii-with-python/
There are lots of fun Python snippets out there that you can use to convert your photos into ASCII art. Anthony Shaw, an author, and contributor at Real Python, has his own snippet on GitHub. Most of
Link: https://www.blog.pythonlibrary.org/2021/05/11/converting-an-image-to-ascii-with-python/
There are lots of fun Python snippets out there that you can use to convert your photos into ASCII art. Anthony Shaw, an author, and contributor at Real Python, has his own snippet on GitHub. Most of
Mouse Vs Python
Converting an Image to ASCII with Python - Mouse Vs Python
There are lots of fun Python snippets out there that you can use to convert your photos into ASCII art. Anthony Shaw, an author, and contributor at Real
Python Pool: Differentiating Append() Vs Extend() Method in Python
Link: https://www.pythonpool.com/python-extend-vs-append/?utm_source=rss&utm_medium=rss&utm_campaign=python-extend-vs-append
Introduction: Append() Vs Extend() in Python
One of the most useful data structures provided by python is List. You might think it would have been wonderful if you could add elements to the list after
Link: https://www.pythonpool.com/python-extend-vs-append/?utm_source=rss&utm_medium=rss&utm_campaign=python-extend-vs-append
Introduction: Append() Vs Extend() in Python
One of the most useful data structures provided by python is List. You might think it would have been wonderful if you could add elements to the list after
Python Pool
Differentiating Append() Vs Extend() Method in Python
Introduction: Append() Vs Extend() in Python One of the most useful data structures provided by python is List. You might think it would have been
CubicWeb: CubicWeb Monthly news April 2021
Link: http://feedproxy.google.com/~r/cubicweborg/~3/oe92X38vFc4/17367054
During this period, we tried to fix issues, migrate some of our code base to latest version of CubicWeb. We also pursue some archeology tasks : merging or closing some merge requests from the old head
Link: http://feedproxy.google.com/~r/cubicweborg/~3/oe92X38vFc4/17367054
During this period, we tried to fix issues, migrate some of our code base to latest version of CubicWeb. We also pursue some archeology tasks : merging or closing some merge requests from the old head
Python Software Foundation: Débora Azevedo: Finding A Sense of Belonging Through the Python Community
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/RswFJu_V2uE/debora-azevedo-finding-sense-of.html
PyLadies Brazil co-founder, Débora Azevedo can encapsulate her feelings about the Python community in one word: Belonging. Growing up in Natal, Brazil, Débora never would’ve guessed that Python woul
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/RswFJu_V2uE/debora-azevedo-finding-sense-of.html
PyLadies Brazil co-founder, Débora Azevedo can encapsulate her feelings about the Python community in one word: Belonging. Growing up in Natal, Brazil, Débora never would’ve guessed that Python woul
Blogspot
Débora Azevedo: Finding A Sense of Belonging Through the Python Community
PyLadies Brazil co-founder, Débora Azevedo can encapsulate her feelings about the Python community in one word: Belonging . Growing up in...
Real Python: Write Pythonic and Clean Code With namedtuple
Link: https://realpython.com/python-namedtuple/
Python’s collections module provides a factory function called namedtuple(), which is specially designed to make your code more Pythonic when you’re working with tuples. With namedtuple(), you can cre
Link: https://realpython.com/python-namedtuple/
Python’s collections module provides a factory function called namedtuple(), which is specially designed to make your code more Pythonic when you’re working with tuples. With namedtuple(), you can cre
Realpython
Write Pythonic and Clean Code With namedtuple – Real Python
Discover how Python's namedtuple lets you create simple, readable data structures with named fields you can access using dot notation.
Paolo Amoroso: A NASA TV Still Frame Viewer in Python
Link: http://blog.paoloamoroso.com/2021/04/a-nasa-tv-still-frame-viewer-in-python.html
I wrote Spacestills, a Python program for viewing NASA TV still frames.The main window of Spacestills running on Replit.As a hobbyist wishing to improve my Python programming skills, for some time I’v
Link: http://blog.paoloamoroso.com/2021/04/a-nasa-tv-still-frame-viewer-in-python.html
I wrote Spacestills, a Python program for viewing NASA TV still frames.The main window of Spacestills running on Replit.As a hobbyist wishing to improve my Python programming skills, for some time I’v
Paoloamoroso
A NASA TV Still Frame Viewer in Python
Spacestills is a Python program for viewing NASA TV still frames. It’s a learning project based on the PySimpleGUI GUI framework.
Python⇒Speed: Docker can slow down your code and distort your benchmarks
Link: https://pythonspeed.com/articles/docker-performance-overhead/
One of the benefits of containers over virtual machines is that you get some measure of isolation without the performance overhead or distortion of virtualization.
Docker images therefore seem like a
Link: https://pythonspeed.com/articles/docker-performance-overhead/
One of the benefits of containers over virtual machines is that you get some measure of isolation without the performance overhead or distortion of virtualization.
Docker images therefore seem like a
Python⇒Speed
Docker can slow down your code and distort your benchmarks
In theory, Docker containers have no performance overhead. In practice, they can actually slow down your code and distort performance measurements.
Python Bytes: #233 RaaS: Readme as a Service
Link: https://pythonbytes.fm/episodes/show/233/raas-readme-as-a-service
<p><strong>Watch the live stream:</strong></p>
<a href='https://www.youtube.com/watch?v=luKiqcQsHUI' style='font-weight: bold;'>Watch on YouTube</a><br>
<br>
<p><strong>About the show</strong></p>
Link: https://pythonbytes.fm/episodes/show/233/raas-readme-as-a-service
<p><strong>Watch the live stream:</strong></p>
<a href='https://www.youtube.com/watch?v=luKiqcQsHUI' style='font-weight: bold;'>Watch on YouTube</a><br>
<br>
<p><strong>About the show</strong></p>
pythonbytes.fm
RaaS: Readme as a Service
News and announcements from the Python community for the week of May 12th, 2021
Ben Cook: PyTorch Tensor to NumPy Array and Back
Link: https://jbencook.com/pytorch-numpy-conversion/
NumPy to PyTorch
PyTorch is designed to be pretty compatible with NumPy. Because of this, converting a NumPy array to a PyTorch tensor is simple:
import torch
import numpy as np
x = np.eye(3)
torch.
Link: https://jbencook.com/pytorch-numpy-conversion/
NumPy to PyTorch
PyTorch is designed to be pretty compatible with NumPy. Because of this, converting a NumPy array to a PyTorch tensor is simple:
import torch
import numpy as np
x = np.eye(3)
torch.
jbencook
NumPy Arrays to PyTorch Tensors and Back
You can easily convert a NumPy array to a PyTorch tensor and a PyTorch tensor to a NumPy array. This post explains how it works.
Mike Driscoll: Drawing Rectangles with Rounded Corners with Pillow and Python
Link: https://www.blog.pythonlibrary.org/2021/05/12/drawing-rectangles-with-rounded-corners-with-pillow-and-python/
Pillow is a package devoted to working with images in Python. Starting in Pillow 8.2, there is a new drawing type: the rounded rectangle. A rounded rectangle lets you round the corners of the rectangl
Link: https://www.blog.pythonlibrary.org/2021/05/12/drawing-rectangles-with-rounded-corners-with-pillow-and-python/
Pillow is a package devoted to working with images in Python. Starting in Pillow 8.2, there is a new drawing type: the rounded rectangle. A rounded rectangle lets you round the corners of the rectangl
Mouse Vs Python
Drawing Rectangles with Rounded Corners with Pillow and Python - Mouse Vs Python
Pillow is a package devoted to working with images in Python. Starting in Pillow 8.2, there is a new drawing type: the rounded rectangle. A rounded
Mike Driscoll: Python 101: 2nd Edition is FREE for PyCon 2021!
Link: https://www.blog.pythonlibrary.org/2021/05/13/python-101-2nd-edition-is-free-for-pycon-2021/
I am making Python 101: 2nd Edition free during PyCon 2021. This sale will end, Monday, May 17th, 2021. You can get the book free using the following links:
Leanpub – https://leanpub.com/py101/c/pyco
Link: https://www.blog.pythonlibrary.org/2021/05/13/python-101-2nd-edition-is-free-for-pycon-2021/
I am making Python 101: 2nd Edition free during PyCon 2021. This sale will end, Monday, May 17th, 2021. You can get the book free using the following links:
Leanpub – https://leanpub.com/py101/c/pyco
Mouse Vs Python
Python 101: 2nd Edition is FREE for PyCon 2021! - Mouse Vs Python
Gain practical, real-world Python skills with our resources and pathway
Django Weblog: Django bugfix releases issued: 3.2.3, 3.1.11, and 2.2.23
Link: https://www.djangoproject.com/weblog/2021/may/13/bugfix-releases/
Today we've issued
3.2.3,
3.1.11, and
2.2.23 bugfix releases.
The release package and checksums are available from our downloads page, as well as from the Python Package Index. The PGP key ID used fo
Link: https://www.djangoproject.com/weblog/2021/may/13/bugfix-releases/
Today we've issued
3.2.3,
3.1.11, and
2.2.23 bugfix releases.
The release package and checksums are available from our downloads page, as well as from the Python Package Index. The PGP key ID used fo
Python for Beginners: Why we need comments in Python
Link: https://www.pythonforbeginners.com/comments/why-we-need-comments-in-python
Comments are the statements which are included in the source code but don’t contribute to program logic. A python comment is not executed by the interpreter and it can only be accessed when we have a
Link: https://www.pythonforbeginners.com/comments/why-we-need-comments-in-python
Comments are the statements which are included in the source code but don’t contribute to program logic. A python comment is not executed by the interpreter and it can only be accessed when we have a
PythonForBeginners.com
Why we need comments in Python - PythonForBeginners.com
Why we need comments in Python will help you improve your python skills with easy to follow examples and tutorials. Click here to view code examples.
Python Engineering at Microsoft: The Pylance language server has reached stable!
Link: https://devblogs.microsoft.com/python/pylance-has-reached-stable/
We’re excited to announce that Pylance, our fast and feature-rich language support for Python in Visual Studio Code, is now officially out of preview and has reached its first stable release.
Join us
Link: https://devblogs.microsoft.com/python/pylance-has-reached-stable/
We’re excited to announce that Pylance, our fast and feature-rich language support for Python in Visual Studio Code, is now officially out of preview and has reached its first stable release.
Join us
Python
The Pylance language server has reached stable!
We’re excited to announce that Pylance, our fast and feature-rich language support for Python in Visual Studio Code, is now officially out of preview and has reached its first stable release. Keep reading to learn more!
Ben Cook: How to Use the PyTorch Sigmoid Operation
Link: https://jbencook.com/pytorch-sigmoid/
The PyTorch sigmoid function is an element-wise operation that squishes any real number into a range between 0 and 1. This is a very common activation function to use as the last layer of binary class
Link: https://jbencook.com/pytorch-sigmoid/
The PyTorch sigmoid function is an element-wise operation that squishes any real number into a range between 0 and 1. This is a very common activation function to use as the last layer of binary class
jbencook
How to use the PyTorch sigmoid operation - jbencook
The PyTorch sigmoid function is an element-wise operation. You can apply it with the torch.sigmoid() function or the torch.nn.Sigmoid() class.
Python Software Foundation: The 2021 Python Language Summit
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/_-8J6H4Mr-o/the-2021-python-language-summit.html
Every year, a small group of core developers from Python implementations such as CPython, PyPy, Jython, and more come together to share information, discuss problems, and seek consensus in order to he
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/_-8J6H4Mr-o/the-2021-python-language-summit.html
Every year, a small group of core developers from Python implementations such as CPython, PyPy, Jython, and more come together to share information, discuss problems, and seek consensus in order to he
Blogspot
The 2021 Python Language Summit
Every year, a small group of core developers from Python implementations such as CPython, PyPy, Jython, and more come together to share info...
AI Pool: Understanding Autoencoders - An Unsupervised Learning approach
Link: https://ai-pool.com/a/s/understanding-autoencoders---an-unsupervised-learning-approach
This article covers the concept of Autoencoders. Concepts like What are Autoencoders, Architecture of an Autoencoder, and intuition behind the training of Autoencoders.
Link: https://ai-pool.com/a/s/understanding-autoencoders---an-unsupervised-learning-approach
This article covers the concept of Autoencoders. Concepts like What are Autoencoders, Architecture of an Autoencoder, and intuition behind the training of Autoencoders.
Ai-Pool
Understanding Autoencoders - An Unsupervised Learning approach
This article covers the concept of Autoencoders. Concepts like What are Autoencoders, Architecture of an Autoencoder, and intuition behind the training of Autoencoders.