How to make the most of Pydantic
How to Make the Most of PydanticExplore techniques for data contract validation, higher ...
https://towardsdatascience.com/how-to-make-the-most-of-pydantic-aa374d5c12d
How to Make the Most of PydanticExplore techniques for data contract validation, higher ...
https://towardsdatascience.com/how-to-make-the-most-of-pydantic-aa374d5c12d
Medium
How to Make the Most of Pydantic
Explore techniques for data contract validation, higher interoperability with JSON Schemas, and simplified data model processing.
pytorch / torchrec
Pytorch domain library for recommendation systems
https://github.com/pytorch/torchrec
Pytorch domain library for recommendation systems
https://github.com/pytorch/torchrec
GitHub
GitHub - pytorch/torchrec: Pytorch domain library for recommendation systems
Pytorch domain library for recommendation systems. Contribute to pytorch/torchrec development by creating an account on GitHub.
Discovering basic blocks
In this post, we will learn how to construct a control-flow graph (CFG) from a subset of CPython (3.6+) bytecode. We will also coincidentally be using Python (3.6+) as a programming language, but the concepts should be applicable to other bytecode and using other programming languages.
https://bernsteinbear.com/blog/discovering-basic-blocks/
In this post, we will learn how to construct a control-flow graph (CFG) from a subset of CPython (3.6+) bytecode. We will also coincidentally be using Python (3.6+) as a programming language, but the concepts should be applicable to other bytecode and using other programming languages.
https://bernsteinbear.com/blog/discovering-basic-blocks/
Max Bernstein
Discovering basic blocks
Lifting a graph structure out of Python bytecode
Decorators in Python – How to enhance functions without changing the code?
Decorators in python allow you to dynamically change the functionality of another function, without ...
https://www.machinelearningplus.com/python/decorators-in-python-how-to-enhance-functions-without-changing-the-code/
Decorators in python allow you to dynamically change the functionality of another function, without ...
https://www.machinelearningplus.com/python/decorators-in-python-how-to-enhance-functions-without-changing-the-code/
Machine Learning Plus
Decorators in Python – How to enhance functions without changing the code?
Learn Data Science Online
MatrixTM / MHDDoS
Best DDoS Attack Script Python3, Cyber Attack With 51 Methods
https://github.com/MatrixTM/MHDDoS
Best DDoS Attack Script Python3, Cyber Attack With 51 Methods
https://github.com/MatrixTM/MHDDoS
GitHub
GitHub - MatrixTM/MHDDoS: Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods
Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods - MatrixTM/MHDDoS
Python in Visual Studio Code – April 2022 Release
In this release we’re introducing the following changes:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-april-2022-release/
In this release we’re introducing the following changes:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-april-2022-release/
Microsoft News
Python in Visual Studio Code – April 2022 Release
The April 2022 release of the Python Extension for Visual Studio Code is now available. In this release we’re introducing a Pylint extension, a simpler way to create empty Python and Jupyter Notebook files, fixes for running and debugging files with conda…
Stop Hardcoding Values in Python Apps — Use JSON Configuration Files Instead
Hardcoding Python app configuration is never a good idea. Try this alternative insteadContinue ...
https://towardsdatascience.com/stop-hardcoding-values-in-python-apps-use-json-configuration-files-instead-cce8f15f647a
Hardcoding Python app configuration is never a good idea. Try this alternative insteadContinue ...
https://towardsdatascience.com/stop-hardcoding-values-in-python-apps-use-json-configuration-files-instead-cce8f15f647a
Medium
Stop Hardcoding Values in Python Apps — Use JSON Configuration Files Instead
Hardcoding Python app configuration is never a good idea. Try this alternative instead
Time Series Forecasting with Ploomber, Arima, Python, and Slurm
In this post you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.
https://www.kdnuggets.com/2022/03/time-series-forecasting-ploomber-arima-python-slurm.html
In this post you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.
https://www.kdnuggets.com/2022/03/time-series-forecasting-ploomber-arima-python-slurm.html
KDnuggets
Time Series Forecasting with Ploomber, Arima, Python, and Slurm - KDnuggets
In this blog you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.
Streamify
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
https://github.com/ankurchavda/streamify
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
https://github.com/ankurchavda/streamify
GitHub
GitHub - ankurchavda/streamify: A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and…
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more! - ankurchavda/streamify
Hands On Signal Processing with Python
From theory to practice: here’s how to perform frequency analysis, noise filtering and ...
https://towardsdatascience.com/hands-on-signal-processing-with-python-9bda8aad39de
From theory to practice: here’s how to perform frequency analysis, noise filtering and ...
https://towardsdatascience.com/hands-on-signal-processing-with-python-9bda8aad39de
Blankly
Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
https://github.com/Blankly-Finance/Blankly
Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
https://github.com/Blankly-Finance/Blankly
GitHub
GitHub - blankly-finance/blankly: 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos…
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. - blankly-finance/blankly
The best way to store data in python & pandas.. spoiler: it's not CSV
In this video we discuss the best way to save off data as files using python and pandas. When you are working with large datasets there comes a time when you need to store your data. Most people turn to CSV files because they are easy to share and universally used. But there are much better options out there!
https://www.youtube.com/watch?v=u4rsA5ZiTls
In this video we discuss the best way to save off data as files using python and pandas. When you are working with large datasets there comes a time when you need to store your data. Most people turn to CSV files because they are easy to share and universally used. But there are much better options out there!
https://www.youtube.com/watch?v=u4rsA5ZiTls
YouTube
This INCREDIBLE trick will speed up your data processes.
In this video we discuss the best way to save off data as files using python and pandas. When you are working with large datasets there comes a time when you need to store your data. Most people turn to CSV files because they are easy to share and universally…
Pyjion, a JIT compiler for Python using .NET Core with Anthony Shaw
https://www.hanselminutes.com/834/pyjion-a-jit-compiler-for-python-using-net-core-with-anthony-shaw
https://www.hanselminutes.com/834/pyjion-a-jit-compiler-for-python-using-net-core-with-anthony-shaw
Hanselminutes
Pyjion, a JIT compiler for Python using .NET Core with Anthony Shaw
In this episode Scott talks to developer Anthony Shaw about Pyjion (pronounced "Pidgeon" like the bird) a JIT compiler for Python that uses .NET Core technology for speed! We discuss the concept of JIT'ers in general, look at the Python JIT ecosystem, and…
Pathways Language Model (PaLM)
Scaling to 540 Billion Parameters for Breakthrough Performance.
https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html
Scaling to 540 Billion Parameters for Breakthrough Performance.
https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html
research.google
Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrou
Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language un...
Python f-strings Are More Powerful Than You Might Think
Learn about the unknown features of Python’s f-strings — the formatted string literals — and up your text formatting knowledge and skills.
https://martinheinz.dev/blog/70
Learn about the unknown features of Python’s f-strings — the formatted string literals — and up your text formatting knowledge and skills.
https://martinheinz.dev/blog/70
martinheinz.dev
Python f-strings Are More Powerful Than You Might Think
<p>
Formatted string literals - also called <i>f-strings</i> - have been around since Python 3.6, so we all know what they are and how to use them. There a...
Formatted string literals - also called <i>f-strings</i> - have been around since Python 3.6, so we all know what they are and how to use them. There a...