https://atrc.net.pk/dokuwiki/ 2026-04-12T12:06:17+00:00 https://atrc.net.pk/dokuwiki/ https://atrc.net.pk/dokuwiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2023-10-12T12:17:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:data_manipulation:bokeh&rev=1697113020&do=diff Bokeh is a popular Python library for creating interactive and visually appealing data visualizations, particularly well-suited for creating web-based, interactive, and interactive dashboards. Bokeh is designed to produce interactive, dynamic, and responsive visualizations that can be displayed in web browsers. It offers a wide range of capabilities for creating various types of plots and charts, including scatter plots, bar charts, line charts, and more. Bokeh is an excellent choice for data sc… text/html 2023-10-12T12:33:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:data_manipulation:dask&rev=1697113980&do=diff Dask is an open-source Python library that provides flexible, scalable, and parallel computing capabilities. It allows you to work with larger-than-memory and distributed datasets, perform parallel computing, and easily scale your data analysis tasks, making it particularly valuable for data scientists and engineers working with big data. Dask is designed to be a flexible and user-friendly framework that integrates well with popular Python libraries like NumPy, Pandas, and Scikit-Learn. text/html 2023-09-16T07:55:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:data_manipulation:pytables_vs_numpy_vs_pandas&rev=1694850900&do=diff PyTables, NumPy, and pandas are all Python libraries commonly used for data manipulation and storage, but they serve different purposes and have unique features. Let's compare them: NumPy: 1. Purpose: * NumPy is primarily designed for numerical and array-based operations. It provides support for multi-dimensional arrays (ndarrays) and a large collection of mathematical functions to operate on these arrays efficiently.