python

How to Effectively Communicate Data with Tables (including Cheat Sheet) Link

A tool to show, inspect and manipulate Parquet file. Link

This book is an introduction to the Polars DataFrame library. Its goal is to introduce you to Polars by going through examples and comparing it to other solutions. Some design choices are introduced here. The guide will also introduce you to optimal usage of Polars. Link

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Key-value storage supporting any python object Link

smart_open is a Python 3 library for efficient streaming of very large files from/to storages such as S3, GCS, Azure Blob Storage, HDFS, WebHDFS, HTTP, HTTPS, SFTP, or local filesystem. It supports transparent, on-the-fly (de-)compression for a variety of different formats. Link

A time series is a sequence of data points indexed in time order. It’s an observation of the same variable at successive points in time. In other words, it’s a set of data that has been observed over a period of time. Link

Implementations are for learning purposes only. As they may be less efficient than the implementations in the Python standard library, use them at your discretion. Link

This repository hosts the code for over 100 open-source Dash apps written in Python or R. They can serve as a starting point for your own Dash app, as a learning tool to better understand how Dash works, as a reusable templates, and much more. Link

Asynchronous tasks in the Django rest framework are delivered using a task queue like Celery that stores messages in a message broker like Redis and distributes them to their destination in an application. Link

SberPM is an open-source Python library for conducting a comprehensive analysis of business processes with the use of process mining and machine learning techniques. By implementing this tool, objective and deep insights into the process on all levels can be revealed. These insights are then used to detect problems such as bottlenecks and deviations and identify potential opportunities for process improvement and optimization. Link Example

This article will show how software development teams can build on-demand environments for dog-food testing, quality review and demos Link terraform-aws-django terraform-aws-ad-hoc-environments

A Time-Series is a sequence of data points collected at different timestamps. These are essentially successive measurements collected from the same data source at the same time interval. Further, we can use these chronologically gathered readings to monitor trends and changes over time. The time-series models can be univariate or multivariate. The univariate time series models are implemented when the dependent variable is a single time series, like room temperature measurement from a single sensor.

This tutorial is divided into four parts; they are: Benefits of multiprocessing Basic multiprocessing Multiprocessing for real use Using joblib Link

Auto-syncing code diagrams to drive collaboration, improve code review, reduce onboarding friction, and more. Dependencies display in Go, Java, JavaScript, Python, & Type Link