Real Python: Build an Asteroids Game With Python and Pygame
Link: https://realpython.com/asteroids-game-python/
Do you want to create your own computer games but like Python too much to abandon it for a career as a game developer? There’s a solution for that! With the Pygame module, you can use your amazing Pyt
Link: https://realpython.com/asteroids-game-python/
Do you want to create your own computer games but like Python too much to abandon it for a career as a game developer? There’s a solution for that! With the Pygame module, you can use your amazing Pyt
Realpython
Build an Asteroids Game With Python and Pygame – Real Python
In this tutorial, you'll build a clone of the Asteroids game in Python using Pygame. Step by step, you'll add images, input handling, game logic, sounds, and text to your program.
Python Pool: Best Ways to Use Python String __contains__() Method
Link: https://www.pythonpool.com/python-string-__contains__/?utm_source=rss&utm_medium=rss&utm_campaign=python-string-__contains__
Introduction
There are many ways to check if the substring is present on the main string in python in python. In that, one of the methods is Python String __contains__(). This method is used to check
Link: https://www.pythonpool.com/python-string-__contains__/?utm_source=rss&utm_medium=rss&utm_campaign=python-string-__contains__
Introduction
There are many ways to check if the substring is present on the main string in python in python. In that, one of the methods is Python String __contains__(). This method is used to check
Python Pool
Best Ways to Use Python String __contains__() Method
Introduction There are many ways to check if the substring is present on the main string in python in python. In that, one of the methods is Python String
Python Pool: How to Convert Numpy Array to Pandas Dataframe
Link: https://www.pythonpool.com/numpy-array-to-pandas-dataframe/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-array-to-pandas-dataframe
Introduction
In python, there are many ways to convert a numpy array to a pandas dataframe. But, sometimes we are asked to solve with particular methods. So In this tutorial, we will be seeing all the
Link: https://www.pythonpool.com/numpy-array-to-pandas-dataframe/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-array-to-pandas-dataframe
Introduction
In python, there are many ways to convert a numpy array to a pandas dataframe. But, sometimes we are asked to solve with particular methods. So In this tutorial, we will be seeing all the
Python Pool
How to Convert Numpy Array to Pandas Dataframe Python Pool
In this tutorial, we will be seeing all the functions and ways through which we can convert the numpy array to a pandas dataframe.
Python Pool: Prime Factorization | How to Find Prime Factors of a Number in Python
Link: https://www.pythonpool.com/prime-factorization-python/?utm_source=rss&utm_medium=rss&utm_campaign=prime-factorization-python
Introduction
In this article, we will see a python program to print all the prime factors of the given number. If a number is a prime number and perfectly divides the given number then that number is
Link: https://www.pythonpool.com/prime-factorization-python/?utm_source=rss&utm_medium=rss&utm_campaign=prime-factorization-python
Introduction
In this article, we will see a python program to print all the prime factors of the given number. If a number is a prime number and perfectly divides the given number then that number is
Python Pool
Prime Factorization | How to Find Prime Factors of a Number in Python
Introduction In this article, we will see a python program to print all the prime factors of the given number. If a number is a prime number and perfectly
Python Pool: How to Start Using Numpy logspace() Method in Python
Link: https://www.pythonpool.com/numpy-logspace/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-logspace
What is numpy logspace?
The Numpy logspace() function returns or creates the array by using the numbers that are evenly separated on a log scale. In the linear space, the sequence basically starts at
Link: https://www.pythonpool.com/numpy-logspace/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-logspace
What is numpy logspace?
The Numpy logspace() function returns or creates the array by using the numbers that are evenly separated on a log scale. In the linear space, the sequence basically starts at
Python Pool
How to Start Using Numpy logspace() Method in Python - Python Pool
The Numpy logspace() function returns or creates the array by using the numbers that are evenly separated on a log scale.
The Digital Cat: AWS Log Insights as CloudWatch metrics with Python and Terraform
Link: https://www.thedigitalcatonline.com/blog/2021/03/22/aws-log-insights-as-cloudwatch-metrics-with-python-and-terraform/
Recently I started using AWS CloudWatch Log Insights and I find the tool really useful to extract data about the systems I'm running without having to set up dedicated monitoring tools, which come wit
Link: https://www.thedigitalcatonline.com/blog/2021/03/22/aws-log-insights-as-cloudwatch-metrics-with-python-and-terraform/
Recently I started using AWS CloudWatch Log Insights and I find the tool really useful to extract data about the systems I'm running without having to set up dedicated monitoring tools, which come wit
Thedigitalcatonline
AWS Log Insights as CloudWatch metrics with Python and Terraform
A step-by-step report on how to build a Lambda function with Terraform and Python to convert Log Insights queries into CloudWatch metrics
Ben Cook: NumPy arrays to PyTorch tensors and back
Link: https://jbencook.com/pytorch-numpy-conversion/
The basics of converting NumPy arrays to PyTorch tensors and vice versa.
Link: https://jbencook.com/pytorch-numpy-conversion/
The basics of converting NumPy arrays to PyTorch tensors and vice versa.
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.
ABlog for Sphinx: ABlog v0.10.15 released
Link: https://ablog.readthedocs.org/release/ablog-v0.10-released/#ablog-v0-10-15-released
ABlog v0.10.15 released
Link: https://ablog.readthedocs.org/release/ablog-v0.10-released/#ablog-v0-10-15-released
ABlog v0.10.15 released
Python for Beginners: How to Comment Inside a Python Dictionary
Link: https://www.pythonforbeginners.com/comments/how-to-comment-inside-a-python-dictionary
Comments in python are very handy in increasing the readability and maintainability of code. Generally we use comments to describe functions and class descriptions, for documentation purposes or to e
Link: https://www.pythonforbeginners.com/comments/how-to-comment-inside-a-python-dictionary
Comments in python are very handy in increasing the readability and maintainability of code. Generally we use comments to describe functions and class descriptions, for documentation purposes or to e
PythonForBeginners.com
How to Comment Inside a Python Dictionary - PythonForBeginners.com
How to Comment Inside a Python Dictionary will help you improve your python skills with easy to follow examples and tutorials. Click here to view code examples.
Peter Bengtsson: Umlauts (non-ascii characters) with git on macOS
Link: https://www.peterbe.com/plog/umlauts-with-git-on-osx
Use `git config --global core.quotePath false` to not get problems with umlauts in `git`.
Link: https://www.peterbe.com/plog/umlauts-with-git-on-osx
Use `git config --global core.quotePath false` to not get problems with umlauts in `git`.
Peterbe
Umlauts (non-ascii characters) with git on macOS
Use `git config --global core.quotePath false` to not get problems with umlauts in `git`.
Podcast.__init__: Be Data Driven At Any Scale With Superset
Link: https://www.pythonpodcast.com/superset-data-driven-episode-207/
Becoming data driven is the stated goal of a large and growing number of organizations. In order to achieve that mission they need a reliable and scalable method of accessing and analyzing the data th
Link: https://www.pythonpodcast.com/superset-data-driven-episode-207/
Becoming data driven is the stated goal of a large and growing number of organizations. In order to achieve that mission they need a reliable and scalable method of accessing and analyzing the data th
The Python Podcast.__init__
The Python Podcast.__init__: Be Data Driven At Any Scale With Superset
An interview about the Superset platform for data exploration and how it supports organizations in being data driven
Matthew Wright: Unit testing Python code in Jupyter notebooks
Link: https://www.wrighters.io/unit-testing-python-code-in-jupyter-notebooks/
It is possible to unit test Python code that lives in a Jupyter notebook. This article looks at three reasonable choices.The post Unit testing Python code in Jupyter notebooks appeared first on wright
Link: https://www.wrighters.io/unit-testing-python-code-in-jupyter-notebooks/
It is possible to unit test Python code that lives in a Jupyter notebook. This article looks at three reasonable choices.The post Unit testing Python code in Jupyter notebooks appeared first on wright
wrighters.io
Unit testing Python code in Jupyter notebooks - wrighters.io
It is possible to unit test Python code that lives in a Jupyter notebook. This article looks at three reasonable choices.
"CodersLegacy": Improving Performance in Pygame – Speed up your Game
Link: https://coderslegacy.com/improving-speed-performance-in-pygame/
While Pygame may be lacking features and optimization when compared to actual game development frameworks, low performance in it is not often it’s fault. If your simple 2D game is having performance i
Link: https://coderslegacy.com/improving-speed-performance-in-pygame/
While Pygame may be lacking features and optimization when compared to actual game development frameworks, low performance in it is not often it’s fault. If your simple 2D game is having performance i
CodersLegacy
Improving Performance in Pygame - Speed up your Game - CodersLegacy
In this article on Improving Performance in Pygame, we'll explain how exactly you can improve the performance of your Pygame Project.
ABlog for Sphinx: ABlog v0.10.16 released
Link: https://ablog.readthedocs.org/release/ablog-v0.10-released/#ablog-v0-10-16-released
ABlog v0.10.16 released
Link: https://ablog.readthedocs.org/release/ablog-v0.10-released/#ablog-v0-10-16-released
ABlog v0.10.16 released
Matt Layman: Deploy A Site Live
Link: https://www.mattlayman.com/understand-django/deploy-site-live/
In the previous Understand Django article, we looked at automated testing and how writing tests to check your Django project can be very valuable to save you time and make sure your site works for you
Link: https://www.mattlayman.com/understand-django/deploy-site-live/
In the previous Understand Django article, we looked at automated testing and how writing tests to check your Django project can be very valuable to save you time and make sure your site works for you
Matt Layman
Deploy A Site Live
You're ready to take the site you developed and share it with the world. What steps should you take to prepare your Django project for life on the web? That's the focus of this article.
Mike Driscoll: Python 201: The functools Module (Video)
Link: https://www.blog.pythonlibrary.org/2021/03/23/python-201-the-functools-module-video/
I recently did a talk on Python’s neat functools module. This screencast covers the majority of the module:
Caching
cache
lru_cache
total_ordering
partial
reduce
singledispatch
wraps
Related R
Link: https://www.blog.pythonlibrary.org/2021/03/23/python-201-the-functools-module-video/
I recently did a talk on Python’s neat functools module. This screencast covers the majority of the module:
Caching
cache
lru_cache
total_ordering
partial
reduce
singledispatch
wraps
Related R
Anarcat: Major email crash with syncmaildir
Link: https://anarc.at/blog/2021-03-22-email-crash/
TL:DR; lost half my mail (150,000 messages, ~6GB) last night. Cause
uncertain, but possibly a combination of a dead CMOS battery, systemd
OnCalendar=daily, a (locking?) bug in syncmaildir, and general
Link: https://anarc.at/blog/2021-03-22-email-crash/
TL:DR; lost half my mail (150,000 messages, ~6GB) last night. Cause
uncertain, but possibly a combination of a dead CMOS battery, systemd
OnCalendar=daily, a (locking?) bug in syncmaildir, and general
Real Python: Records and Sets: Selecting the Ideal Data Structure
Link: https://realpython.com/courses/records-sets-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/records-sets-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
Records and Sets: Selecting the Ideal Data Structure – Real Python
In this course, you'll learn about two of Python's data structures: records and sets. You'll look at multiple types and classes for both of these and learn which implementations are best for your specific use cases.
death and gravity: Dataclasses without type annotations
Link: https://death.andgravity.com/dataclasses
The dataclasses standard library module
reduces the boilerplate of writing classes
by generating special methods like __init__ and __repr__.
I've noticed a small (but vocal) minority of people that:
Link: https://death.andgravity.com/dataclasses
The dataclasses standard library module
reduces the boilerplate of writing classes
by generating special methods like __init__ and __repr__.
I've noticed a small (but vocal) minority of people that:
death and gravity
Dataclasses without type annotations
... in which we talk about the many ways of using Python dataclasses without type annotations (or even variable annotations!), and what this says about Python.
Python⇒Speed: The worst so-called "best practice" for Docker
Link: https://pythonspeed.com/articles/security-updates-in-docker/
Somebody is always wrong on the Internet, and bad Docker packaging advice is quite common.
But one particular piece of advice keeps coming up, and it’s dangerous enough to merit its own article.
In a
Link: https://pythonspeed.com/articles/security-updates-in-docker/
Somebody is always wrong on the Internet, and bad Docker packaging advice is quite common.
But one particular piece of advice keeps coming up, and it’s dangerous enough to merit its own article.
In a
Python⇒Speed
The worst so-called “best practice” for Docker
Many people (although fewer than in the past) will tell you not to install security updates in your Docker image. This is terrible advice.
Reuven Lerner: One year of “Python for non-programmers”
Link: https://lerner.co.il/2021/03/23/one-year-of-python-for-non-programmers/
In the spring of last year, as the coronavirus pandemic began, it was pretty clear that this would be the major event of our lives, and that a lot of people were going to be affected in big, terrible
Link: https://lerner.co.il/2021/03/23/one-year-of-python-for-non-programmers/
In the spring of last year, as the coronavirus pandemic began, it was pretty clear that this would be the major event of our lives, and that a lot of people were going to be affected in big, terrible
Reuven Lerner
One year of "Python for non-programmers"
In the spring of last year, as the coronavirus pandemic began, it was pretty clear that this would be the major event of our lives, and that a lot of people were going to be