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milaan9

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

Total Products
2

Software by milaan9

12_Python_Seaborn_Module
Open Source

12_Python_Seaborn_Module

12PythonSeabornModule is a comprehensive Python educational resource focused on the Seaborn library, a high-level statistical data visualization tool built on Matplotlib. This module introduces users to creating attractive and informative graphs specifically designed for Exploratory Data Analysis (EDA). It emphasizes a dataset-oriented API that simplifies the visualization of relationships between multiple variables, particularly when working with Pandas DataFrames in tidy format. The content highlights key updates from Seaborn version 0.9, including the introduction of the relplot function which unifies scatterplot and lineplot capabilities on data-aware grids. It also covers the deprecation of older functions like tsplot in favor of the more robust lineplot. The module is structured to guide learners through practical examples and new plotting features, enabling data scientists and analysts to efficiently generate complex visualizations. It supports interactive learning through integration with Jupyter envi

Education & Learning Data Visualisation
233 Github Stars
11_Python_Matplotlib_Module
Open Source

11_Python_Matplotlib_Module

This module provides a comprehensive learning resource for Matplotlib, a powerful multi-platform data visualization library for Python. Built on NumPy arrays and designed to integrate seamlessly with the SciPy stack, Matplotlib enables users to create high-quality 2D plots including line graphs, bar charts, scatter plots, and histograms. Originally introduced by John Hunter in 2002, this library allows developers and data scientists to transform complex datasets into easily digestible visual formats. The module covers the pyplot interface, offering an object-oriented API for integrating plots into Python scripts, shells, web applications, and graphical user interfaces. Unlike the default Python standard library, Matplotlib requires separate installation but extends functionality through various toolkits. This specific repository includes numbered tutorial notebooks and practical exercises to guide users from basic plotting concepts to advanced visualization techniques. It serves as an essential toolkit for an

Education & Learning Data Visualisation
228 Github Stars