How to Support A/B Testing in Your Python Code
This video takes a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those decisions based on what you think will work, you’re basically flying blind because you don’t know what the customer actually prefers.
https://www.youtube.com/watch?v=115SeMub-P0
This video takes a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those decisions based on what you think will work, you’re basically flying blind because you don’t know what the customer actually prefers.
https://www.youtube.com/watch?v=115SeMub-P0
YouTube
How to Support A/B Testing in Your Python Code
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In today's video, I am taking a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those…
In today's video, I am taking a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those…
unittest’s new context methods in Python 3.11 (with backports)
Python 3.11 only made one change to unittest, but it’s a good one: context manager methods.
These ...
https://adamj.eu/tech/2022/11/14/unittest-context-methods-python-3-11-backports/
Python 3.11 only made one change to unittest, but it’s a good one: context manager methods.
These ...
https://adamj.eu/tech/2022/11/14/unittest-context-methods-python-3-11-backports/
adamj.eu
unittest’s new context methods in Python 3.11 (with backports) - Adam Johnson
Python 3.11 only made one change to unittest, but it’s a good one: context manager methods. These methods can simplify setup and teardown logic in many cases, such as dynamic use of unittest.mock.
Machine Learning Algorithms Cheat Sheet
A quick reference guide to 5 common algorithmsContinue reading on Towards Data Science ...
https://towardsdatascience.com/machine-learning-algorithms-cheat-sheet-2f01d1d3aa37
A quick reference guide to 5 common algorithmsContinue reading on Towards Data Science ...
https://towardsdatascience.com/machine-learning-algorithms-cheat-sheet-2f01d1d3aa37
MicroPython officially becomes part of the Arduino ecosystem
https://blog.arduino.cc/2022/11/10/micropython-officially-becomes-part-of-the-arduino-ecosystem/
https://blog.arduino.cc/2022/11/10/micropython-officially-becomes-part-of-the-arduino-ecosystem/
Inline caches in the Skybison Python runtime
https://bernsteinbear.com/blog/inline-caches-in-skybison/
https://bernsteinbear.com/blog/inline-caches-in-skybison/
Max Bernstein
Inline caches in the Skybison Python runtime
Inline caching is a popular technique for optimizing dynamic language runtimes. The idea comes from the 1984 paper Efficient implementation of the Smalltalk-80 system (PDF) by L. Peter Deutsch and Allan M. Schiffman. I have written about it before (Inline…
How To Filter Django QuerySets – 15 Examples For Beginners
https://ctrlzblog.com/django-queryset-filter-15-examples/
https://ctrlzblog.com/django-queryset-filter-15-examples/
CTRL Z Blog
How to Filter Django QuerySets - 15 Examples For Beginners - CTRL Z Blog
A tutorial on creating QuerySets with Django ORM and filtering the data. Includes how to convert QuerySets into lists.
Python Configuration: Top Built-In and Third-Party Libraries
Python programs can be configured in many different ways. Understand the code you need for the ...
https://codesolid.com/python-configuration/
Python programs can be configured in many different ways. Understand the code you need for the ...
https://codesolid.com/python-configuration/
CodeSolid.com - Python Learning Community
Python Configuration: Top Built-In and Third-Party Libraries - CodeSolid.com
Python programs can be configured in many different ways. Understand the code you need for the various approaches and the best tools for the job.
Microservice Architecture and System Design with Python & Kubernetes
https://www.youtube.com/watch?v=hmkF77F9TLw
https://www.youtube.com/watch?v=hmkF77F9TLw
YouTube
Microservice Architecture and System Design with Python & Kubernetes – Full Course
Learn about software system design and microservices. This course is a hands-on approach to learning about microservice architectures and distributed systems using Python, Kubernetes, RabbitMQ, MongoDB, mySQL.
✏️ Course from Kantan Coding. Check out his…
✏️ Course from Kantan Coding. Check out his…
Hstream – quick Python web apps (Streamlit alternative using htmx)
https://github.com/conradbez/hstream
https://github.com/conradbez/hstream
GitHub
GitHub - conradbez/hstream: Hyper Stream
Hyper Stream. Contribute to conradbez/hstream development by creating an account on GitHub.
twitter-archive-parser
Python code to parse a Twitter archive and output in various ways.
https://github.com/timhutton/twitter-archive-parser
Python code to parse a Twitter archive and output in various ways.
https://github.com/timhutton/twitter-archive-parser
GitHub
GitHub - timhutton/twitter-archive-parser: Python code to parse a Twitter archive and output in various ways
Python code to parse a Twitter archive and output in various ways - timhutton/twitter-archive-parser
SpyGuard
SpyGuard is a forked and enhanced version of TinyCheck. SpyGuard's main objective is to detect signs of compromise by monitoring network flows transmitted by a device.
https://github.com/SpyGuard/SpyGuard
SpyGuard is a forked and enhanced version of TinyCheck. SpyGuard's main objective is to detect signs of compromise by monitoring network flows transmitted by a device.
https://github.com/SpyGuard/SpyGuard
GitHub
GitHub - SpyGuard/SpyGuard: SpyGuard is a forked and enhanced version of TinyCheck. SpyGuard's main objective is to detect signs…
SpyGuard is a forked and enhanced version of TinyCheck. SpyGuard's main objective is to detect signs of compromise by monitoring network flows transmitted by a device. - SpyGuard/SpyGuard
Getting started with semantic search
Learn about this rapidly developing capability.
https://medium.com/neuml/getting-started-with-semantic-search-a9fd9d8a48cf
Learn about this rapidly developing capability.
https://medium.com/neuml/getting-started-with-semantic-search-a9fd9d8a48cf
Medium
Getting started with semantic search
Learn about this rapidly developing capability
Parallel Nested For-Loops in Python
In this tutorial, you will discover how to change a nested for-loop to be concurrent or parallel in Python with a suite of worked examples.
https://superfastpython.com/parallel-nested-for-loops-in-python/
In this tutorial, you will discover how to change a nested for-loop to be concurrent or parallel in Python with a suite of worked examples.
https://superfastpython.com/parallel-nested-for-loops-in-python/
Super Fast Python
Parallel Nested For-Loops in Python - Super Fast Python
You can convert nested for-loops to execute concurrently or in parallel in Python using thread pools or process pools, depending on the types of tasks that are being executed. In this tutorial, you will discover how to change a nested for-loop to be concurrent…
How to Benchmark (Python) Code
There are plenty of ways to measure the speed of your code. Let me show you a few that I considered for the Writing Faster Python series.
https://switowski.com/blog/how-to-benchmark-python-code/
There are plenty of ways to measure the speed of your code. Let me show you a few that I considered for the Writing Faster Python series.
https://switowski.com/blog/how-to-benchmark-python-code/
Sebastian Witowski
How to Benchmark (Python) Code
There are plenty of ways to measure the speed of your code. Let me show you a few that I considered for the Writing Faster Python series.
frame-interpolation
The official Tensorflow 2 implementation of our high quality frame interpolation neural network. We present a unified single-network approach that doesn't use additional pre-trained networks, like optical flow or depth, and yet achieve state-of-the-art results.
https://github.com/google-research/frame-interpolation
The official Tensorflow 2 implementation of our high quality frame interpolation neural network. We present a unified single-network approach that doesn't use additional pre-trained networks, like optical flow or depth, and yet achieve state-of-the-art results.
https://github.com/google-research/frame-interpolation
GitHub
GitHub - google-research/frame-interpolation: FILM: Frame Interpolation for Large Motion, In ECCV 2022.
FILM: Frame Interpolation for Large Motion, In ECCV 2022. - google-research/frame-interpolation