Python⇒Speed: All Pythons are slow, but some are faster than others
Link: https://pythonspeed.com/articles/faster-python/
Python is not the fastest language around, so any performance boost helps, especially if you’re running at scale.
It turns out that depending where you install Python from, its performance can vary qu
Link: https://pythonspeed.com/articles/faster-python/
Python is not the fastest language around, so any performance boost helps, especially if you’re running at scale.
It turns out that depending where you install Python from, its performance can vary qu
Python⇒Speed
All Pythons are slow, but some are faster than others
Python on Ubuntu is not always the same speed as Python in the python Docker image. So I ran some benchmarks, so you can pick the fastest.
Python Pool: 5 Incredible Uses of Numpy Shuffle With Examples
Link: https://www.pythonpool.com/numpy-shuffle/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-shuffle
Hello geeks and welcome in this article, we will cover NumPy shuffle, also known as NumPy random shuffle(). Along with that, for an overall better understanding, we will look at its syntax and paramet
Link: https://www.pythonpool.com/numpy-shuffle/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-shuffle
Hello geeks and welcome in this article, we will cover NumPy shuffle, also known as NumPy random shuffle(). Along with that, for an overall better understanding, we will look at its syntax and paramet
Python Pool
5 Incredible Uses of Numpy Shuffle With Examples
Hello geeks and welcome in this article, we will cover NumPy shuffle, also known as NumPy random shuffle(). Along with that, for an overall better
Mike Driscoll: PyDev of the Week: Bojan Miletic
Link: https://www.blog.pythonlibrary.org/2021/02/08/pydev-of-the-week-bojan-miletic/
This week we welcome Bojan Miletic as our PyDev of the Week! Bojan is an entrepreneur and given talks at EuroPython on Django testing. If you’d like to learn more about Bojan, you can connect with him
Link: https://www.blog.pythonlibrary.org/2021/02/08/pydev-of-the-week-bojan-miletic/
This week we welcome Bojan Miletic as our PyDev of the Week! Bojan is an entrepreneur and given talks at EuroPython on Django testing. If you’d like to learn more about Bojan, you can connect with him
Mouse Vs Python
PyDev of the Week: Bojan Miletic - Mouse Vs Python
Gain practical, real-world Python skills with our resources and pathway
Nicola Iarocci: When Homebrew breaks your Python virtual environment
Link: https://nicolaiarocci.com/when-homebrew-breaks-your-python-virtual-environment/
Ever had your old, trusty Python virtual environment fail on you? I sure did. Sometimes, when I activate or switch between virtual environments, I get the following error:
$ workon eve dyld: Library n
Link: https://nicolaiarocci.com/when-homebrew-breaks-your-python-virtual-environment/
Ever had your old, trusty Python virtual environment fail on you? I sure did. Sometimes, when I activate or switch between virtual environments, I get the following error:
$ workon eve dyld: Library n
Nicola Iarocci
When Homebrew breaks your Python virtual environment
Ever had your old, trusty Python virtual environment fail on you? I sure did. Sometimes, when I activate or switch between virtual environments, I get the follo
Zato Blog: Integrating with IBM MQ in Python
Link: https://zato.io/blog/posts/ibm-mq-python-api-integrations.html
Using Zato, it is easy to make IBM MQ queues available to Python applications - this article will lead you step-by-step
through the process of setting up the Python integration platform to listen for
Link: https://zato.io/blog/posts/ibm-mq-python-api-integrations.html
Using Zato, it is easy to make IBM MQ queues available to Python applications - this article will lead you step-by-step
through the process of setting up the Python integration platform to listen for
Zato Blog
Integrating with IBM MQ in Python
Python Software Foundation: Jesse Noller is awarded the PSF's Distinguished Service Award
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/mENgnyHf1Rs/jesse-noller-is-awarded-psfs.html
On January 27, 2021 the Python Software Foundation awarded the Distinguished Service Award to Jesse Noller:RESOLVED, that the Python Software Foundation award the 2021 Distinguished Service Award to
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/mENgnyHf1Rs/jesse-noller-is-awarded-psfs.html
On January 27, 2021 the Python Software Foundation awarded the Distinguished Service Award to Jesse Noller:RESOLVED, that the Python Software Foundation award the 2021 Distinguished Service Award to
Blogspot
Jesse Noller is awarded the PSF's Distinguished Service Award
On January 27, 2021 the Python Software Foundation awarded the Distinguished Service Award to Jesse Noller: RESOLVED, that the Python Soft...
Real Python: Python Inner Functions: What Are They Good For?
Link: https://realpython.com/inner-functions-what-are-they-good-for/
Inner functions, also known as nested functions, are functions that you define inside other functions. In Python, this kind of function has direct access to variables and names defined in the enclosin
Link: https://realpython.com/inner-functions-what-are-they-good-for/
Inner functions, also known as nested functions, are functions that you define inside other functions. In Python, this kind of function has direct access to variables and names defined in the enclosin
Realpython
Python Inner Functions: What Are They Good For? – Real Python
In this step-by-step tutorial, you'll learn what inner functions are in Python, how to define them, and what their main use cases are.
Ben Cook: SageMaker Studio quick start
Link: https://jbencook.com/sagemaker-studio-quick-start/
A step-by-step quick start guide for SageMaker Studio. Start a Studio session, launch a notebook on a GPU instance and run object detection inference with a detectron2 pre-trained model.
Link: https://jbencook.com/sagemaker-studio-quick-start/
A step-by-step quick start guide for SageMaker Studio. Start a Studio session, launch a notebook on a GPU instance and run object detection inference with a detectron2 pre-trained model.
jbencook
SageMaker Studio Quick Start - jbencook
A step-by-step quick start guide for SageMaker Studio. Start a Studio session, launch a notebook on a GPU instance and run object detection inference with a detectron2 pre-trained model.
Podcast.__init__: Giving Your Data Science Projects And Teams A Home At DagsHub
Link: https://www.pythonpodcast.com/dagshub-data-science-collaboration-episode-301/
Collaborating on software projects is largely a solved problem, with a variety of hosted or self-managed platforms to choose from. For data science projects, collaboration is still an open question. T
Link: https://www.pythonpodcast.com/dagshub-data-science-collaboration-episode-301/
Collaborating on software projects is largely a solved problem, with a variety of hosted or self-managed platforms to choose from. For data science projects, collaboration is still an open question. T
The Python Podcast.__init__
The Python Podcast.__init__: Giving Your Data Science Projects And Teams A Home At DagsHub
An interview about the DagsHub platform and how it simplifies the work of collaborating on the full lifecycle of data science and machine learning projects.
Codementor: Chatbots? My first machine learning experience
Link: https://www.codementor.io/atleastitry/chatbots-my-first-machine-learning-experience-1eptm19ky4
During my final year at university, I decided to take a leap of faith and dive straight into the worl...
Link: https://www.codementor.io/atleastitry/chatbots-my-first-machine-learning-experience-1eptm19ky4
During my final year at university, I decided to take a leap of faith and dive straight into the worl...
www.codementor.io
Chatbots? My first machine learning experience | Codementor
During my final year at university, I decided to take a leap of faith and dive straight into the worl...
Ben Cook: NumPy meshgrid: Understanding np.meshgrid()
Link: https://jbencook.com/numpy-meshgrid/
You can create multi-dimensional coordinate arrays using the np.meshgrid() function, which is also available in PyTorch and TensorFlow. But watch out! PyTorch uses different indexing by default so the
Link: https://jbencook.com/numpy-meshgrid/
You can create multi-dimensional coordinate arrays using the np.meshgrid() function, which is also available in PyTorch and TensorFlow. But watch out! PyTorch uses different indexing by default so the
jbencook
NumPy Meshgrid: Understanding np.meshgrid() - jbencook
You can create multi-dimensional coordinate arrays using the np.meshgrid() function, which is also available in PyTorch and TensorFlow. But watch out! PyTorch uses different indexing by default so the results might not be the same.
Real Python: Python Modulo: Using the % Operator
Link: https://realpython.com/courses/python-modulo-operator/
Python supports a wide range of arithmetic operators that you can use when working with numbers in your code. One of these operators is the modulo operator (%), which returns the remainder of dividing
Link: https://realpython.com/courses/python-modulo-operator/
Python supports a wide range of arithmetic operators that you can use when working with numbers in your code. One of these operators is the modulo operator (%), which returns the remainder of dividing
Realpython
Python Modulo: Using the % Operator – Real Python
In this course, you'll learn about the Python modulo operator (%). You'll look at the mathematical concepts behind the modulo operation and how the modulo operator is used with Python's numeric types. You'll also see ways to use the modulo operator in your…
PyCoder’s Weekly: Issue #459 (Feb. 9, 2021)
Link: https://pycoders.com/issues/459
#459 – FEBRUARY 9, 2021 View in Browser » How Python Integers Work Python’s integer datatype is pretty different from most other languages because they allow arbitrary precision. Learn how integ
Link: https://pycoders.com/issues/459
#459 – FEBRUARY 9, 2021 View in Browser » How Python Integers Work Python’s integer datatype is pretty different from most other languages because they allow arbitrary precision. Learn how integ
Python Pool: Best Ways to Round Down Numbers in Python
Link: https://www.pythonpool.com/python-round-down/?utm_source=rss&utm_medium=rss&utm_campaign=python-round-down
Hello coders!! In this article, we will be learning the different ways to round down a number in Python. The rounding of a number is basically making the number simpler while keeping its value close t
Link: https://www.pythonpool.com/python-round-down/?utm_source=rss&utm_medium=rss&utm_campaign=python-round-down
Hello coders!! In this article, we will be learning the different ways to round down a number in Python. The rounding of a number is basically making the number simpler while keeping its value close t
Python Pool
Best Ways to Round Down Numbers in Python
Hello coders!! In this article, we will be learning the different ways to round down a number in Python. The rounding of a number basically makes the
Python Pool: Python Shelve: Storing, Retrieving, Updating, and Deleting Data
Link: https://www.pythonpool.com/python-shelve/?utm_source=rss&utm_medium=rss&utm_campaign=python-shelve
Hello coders!! In this article, we will be learning about Python shelve and the various functions that we can do in it. A shelve in Python is a dictionary-like object. It is different from “dbm” datab
Link: https://www.pythonpool.com/python-shelve/?utm_source=rss&utm_medium=rss&utm_campaign=python-shelve
Hello coders!! In this article, we will be learning about Python shelve and the various functions that we can do in it. A shelve in Python is a dictionary-like object. It is different from “dbm” datab
Python Pool
Python Shelve: Storing, Retrieving, Updating, and Deleting Data
Hello coders!! In this article, we will be learning about Python Shelve and the various functions that we can perform in it. In Python, a shelve is a
Python Pool: Gaussian Elimination in Python: Illustration and Implementation
Link: https://www.pythonpool.com/gaussian-elimination-python/?utm_source=rss&utm_medium=rss&utm_campaign=gaussian-elimination-python
Hello coders!! In this article, we will be learning about gaussian elimination in python. We will first understand what it means, learn its algorithm, and then implement it in Python. So, let us begin
Link: https://www.pythonpool.com/gaussian-elimination-python/?utm_source=rss&utm_medium=rss&utm_campaign=gaussian-elimination-python
Hello coders!! In this article, we will be learning about gaussian elimination in python. We will first understand what it means, learn its algorithm, and then implement it in Python. So, let us begin
Python Pool
Gaussian Elimination in Python: Illustration and Implementation
Hello coders!! In this article, we will be learning about Gaussian elimination in Python. We will first understand what it means, learn its algorithm, and
Python Pool: Cracking The Python Autocorrelation Code
Link: https://www.pythonpool.com/python-autocorrelation/?utm_source=rss&utm_medium=rss&utm_campaign=python-autocorrelation
Hello coders!! In this article, we will be discussing autocorrelation in Python. We use autocorrelation to measure a set of current values against past values to see if they correlate. It is primarily
Link: https://www.pythonpool.com/python-autocorrelation/?utm_source=rss&utm_medium=rss&utm_campaign=python-autocorrelation
Hello coders!! In this article, we will be discussing autocorrelation in Python. We use autocorrelation to measure a set of current values against past values to see if they correlate. It is primarily
Python Pool
Cracking The Python Autocorrelation Code
Hello coders!! In this article, we will be discussing autocorrelation in Python. We use autocorrelation to measure a set of current values against
Python Pool: Everything You Wanted to Know About Numpy Arctan2
Link: https://www.pythonpool.com/numpy-arctan2/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-arctan2
Hello geeks and welcome in this article, we will cover NumPy arctan2. Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the applicat
Link: https://www.pythonpool.com/numpy-arctan2/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-arctan2
Hello geeks and welcome in this article, we will cover NumPy arctan2. Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we will see the applicat
Python Pool
Everything You Wanted to Know About Numpy Arctan2 - Python Pool
The function NumPy arctan2 helps us calculate the arc tan value between the X1 and X2 in radians. Here X1 and 2 are parameters we will discuss
Python Pool: 5 Ways to Check if the NumPy Array is Empty
Link: https://www.pythonpool.com/check-if-numpy-array-is-empty/?utm_source=rss&utm_medium=rss&utm_campaign=check-if-numpy-array-is-empty
Hello coders!! In this article, we will be learning different ways to check if the NumPy array is empty or not in Python. An array is a collection of elements of the same data type in a contiguous mem
Link: https://www.pythonpool.com/check-if-numpy-array-is-empty/?utm_source=rss&utm_medium=rss&utm_campaign=check-if-numpy-array-is-empty
Hello coders!! In this article, we will be learning different ways to check if the NumPy array is empty or not in Python. An array is a collection of elements of the same data type in a contiguous mem
Python Pool
5 Ways to Check if the NumPy Array is Empty
Hello coders!! In this article, we will be learning different ways to check if the NumPy array is empty or not in Python. An array is a collection of
Python Pool: The Ultimate Guide To Set Aspect Ratio in Matplotlib
Link: https://www.pythonpool.com/matplotlib-aspect-ratio/?utm_source=rss&utm_medium=rss&utm_campaign=matplotlib-aspect-ratio
Hello geeks and welcome in this article, we will cover the Matplotlib aspect ratio. Along with that, we look at its syntax, what difference does it make to the graph. To do so, we will look at a coupl
Link: https://www.pythonpool.com/matplotlib-aspect-ratio/?utm_source=rss&utm_medium=rss&utm_campaign=matplotlib-aspect-ratio
Hello geeks and welcome in this article, we will cover the Matplotlib aspect ratio. Along with that, we look at its syntax, what difference does it make to the graph. To do so, we will look at a coupl
Python Pool
The Ultimate Guide To Set Aspect Ratio in Matplotlib
Hello geeks and welcome in this article, we will cover the Matplotlib aspect ratio. Along with that, we look at its syntax, what difference does it