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
Python Pool: 4 Ways to Draw a Rectangle in Matplotlib
Link: https://www.pythonpool.com/matplotlib-draw-rectangle/?utm_source=rss&utm_medium=rss&utm_campaign=matplotlib-draw-rectangle
Hello geeks and welcome in today’s article, we will cover the Matplotlib draw rectangle. Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we wi
Link: https://www.pythonpool.com/matplotlib-draw-rectangle/?utm_source=rss&utm_medium=rss&utm_campaign=matplotlib-draw-rectangle
Hello geeks and welcome in today’s article, we will cover the Matplotlib draw rectangle. Along with that, for an overall better understanding, we will also look at its syntax and parameter. Then we wi
Python Pool
4 Ways to Draw a Rectangle in Matplotlib
Hello, geeks, and welcome to today's article; we will cover the Matplotlib draw a rectangle. Along with that, we will also look at its syntax and
Real Python: Python Microservices With gRPC
Link: https://realpython.com/python-microservices-grpc/
Microservices are a way to organize complex software systems. Instead of putting all your code into one app, you break your app into microservices that are deployed independently and communicate with
Link: https://realpython.com/python-microservices-grpc/
Microservices are a way to organize complex software systems. Instead of putting all your code into one app, you break your app into microservices that are deployed independently and communicate with
Realpython
Python Microservices With gRPC – Real Python
In this tutorial, you'll learn how to build a robust and developer-friendly Python microservices infrastructure. You'll learn what microservices are and how you can implement them using gRPC and Kubernetes. You'll also explore advanced topics such as interceptors…
Codementor: Common Python security pitfalls, and how to avoid them
Link: https://www.codementor.io/saifsadiq1995/common-python-security-pitfalls-and-how-to-avoid-them-1ez7sh0mp0
Python's popularity attracts black and white-hat hackers alike. Here's how static code analysis solutions like Bandit can help us find and fix security flaws in our Python apps.
Link: https://www.codementor.io/saifsadiq1995/common-python-security-pitfalls-and-how-to-avoid-them-1ez7sh0mp0
Python's popularity attracts black and white-hat hackers alike. Here's how static code analysis solutions like Bandit can help us find and fix security flaws in our Python apps.
Patrick Kennedy: Generating a Static Site with Flask and Deploying it to Netlify
Link: http://www.patricksoftwareblog.com/static-site-with-flask-and-deploy-to-netlify/
I wrote a blog post on TestDriven.io about how to generate a static site using Flask and deploy it to Netlify:
Generating a Static Site with Flask and Deploying it to Netlify
This tutorial looks at ho
Link: http://www.patricksoftwareblog.com/static-site-with-flask-and-deploy-to-netlify/
I wrote a blog post on TestDriven.io about how to generate a static site using Flask and deploy it to Netlify:
Generating a Static Site with Flask and Deploying it to Netlify
This tutorial looks at ho
Karim Elghamrawy: Python: What Is Object-Oriented Programming?
Link: https://www.afternerd.com/blog/python-oop-concepts/
The post Python: What Is Object-Oriented Programming? appeared first on Afternerd.
Link: https://www.afternerd.com/blog/python-oop-concepts/
The post Python: What Is Object-Oriented Programming? appeared first on Afternerd.
Afternerd
Python: What Is Object-Oriented Programming? - Afternerd
Karim Elghamrawy: Python: Round a Number to the Nearest Integer
Link: https://www.afternerd.com/blog/round-number-nearest-integer/
The post Python: Round a Number to the Nearest Integer appeared first on Afternerd.
Link: https://www.afternerd.com/blog/round-number-nearest-integer/
The post Python: Round a Number to the Nearest Integer appeared first on Afternerd.
Afternerd
Python: Round a Number to the Nearest Integer - Afternerd
Kushal Das: Defending against side channel attacks via dependencies
Link: https://kushaldas.in/posts/defending-against-side-channel-attacks-via-dependencies.html
Yesterday Alex Birsan posted a
blog
explaining how he made a supply chain attack on various companies via
dependencies. I was waiting for this blog from last August when we noticed the
mentioned pack
Link: https://kushaldas.in/posts/defending-against-side-channel-attacks-via-dependencies.html
Yesterday Alex Birsan posted a
blog
explaining how he made a supply chain attack on various companies via
dependencies. I was waiting for this blog from last August when we noticed the
mentioned pack
Python Bytes: #220 What, why, and where of friendly errors in Python
Link: https://pythonbytes.fm/episodes/show/220/what-why-and-where-of-friendly-errors-in-python
<p>Sponsored by Datadog: <a href="http://pythonbytes.fm/datadog"><strong>pythonbytes.fm/datadog</strong></a></p>
<p>Special guest: <a href="https://twitter.com/HannahStepanek"><strong>Hannah Stepanek
Link: https://pythonbytes.fm/episodes/show/220/what-why-and-where-of-friendly-errors-in-python
<p>Sponsored by Datadog: <a href="http://pythonbytes.fm/datadog"><strong>pythonbytes.fm/datadog</strong></a></p>
<p>Special guest: <a href="https://twitter.com/HannahStepanek"><strong>Hannah Stepanek
pythonbytes.fm
What, why, and where of friendly errors in Python
News and announcements from the Python community for the week of Feb 11th, 2021