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matplotlib-plotting cookbook
matplotlib Plotting Cookbook Learn how to create professional scientific plots using matplotlib, with more than 60 recipes that cover common use cases...
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Python pour la Data Science - Analysez vos données par la pratique avec NumPy, Pandas, Matplotlib e
First published in 2020...
View Book →Python Matplotlib Cheat Sheet
Python Matplotlib Cheat Sheet...
View Book →UAP Analyzer Suite
Thermal FLIR Video Analysis Tool for Aerial Anomaly Research The UAP Analysis Suite is a precision-built Python application designed for forensic video evaluation of Unidentified Aerial Phenomena (UAP...
View Book →Python for finance : financial modeling and quantitative analysis explained
1 online resource (1 volume) :...
View Book →Making Animations with Matplotlib
First published in 2022...
View Book →IPython Interactive Computing and Visualization Cookbook
1 online resource...
View Book →Python - All a Scientist Needs
Any cutting-edge scientific research project requires a myriad of computational tools for data generation, management, analysis and visualization. Python is a flexible and extensible scientific progra...
View Book →Utilizing Deep Learning for Drug Side Effect Insights: The Deep Side Framework
Drug side effect prediction is important for patient safety and drug development. Conventional approaches, such as clinical trials and post-marketing surveillance, are time-consuming, resource-intensi...
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Predictive Modelling of Toxicity Resulting from Radiotherapy Treatments of Head and Neck Cancer
In radiotherapy for head and neck cancer, the radiation dose delivered to the pharyngeal mucosa (mucosal lining of the throat) is thought to be a major contributing factor to dysphagia (swallowing dys...
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Python and Matplotlib Essentials for Scientists and Engineers
First published in 2015...
View Book →Interactive Applications Using Matplotlib
First published in 2015...
View Book →Matplotlib 3. 0 Cookbook
First published in 2018...
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Gráficos en Python con Matplotlib
First published in 2020...
View Book →Solari – Finding Optimised Location Using Unsupervised Learning
The present study aims to provide an optimal solution for ensuring an organized distribution of limited resources like, fuel, food and other necessities on time during natural calamities example flood...
View Book →Matplotlib 2. x by Example
First published in 2017...
View Book →Enhancing data integrity in internet of things-based healthcare applications: a visualization approa
This study addresses the critical issue of data duplication in healthcare related internet of things (IoT) datasets, which can compromise the reliability of analyses and patient outcomes. A Python-bas...
View Book →[ Project Brief] After Work Data Visualisation With Matplotlib
[ Project Brief] After Work Data Visualisation With Matplotlib...
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Introduction to Python for Computational Science and Engineering
A beginner's guide...
View Book →Python and Matplotlib Essentials
First published in 2015...
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Python Data Analytics: With Pandas, NumPy, and Matplotlib
First published in 2018...
View Book →SunPy - Python for Solar Physics
This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, has seen widespread a...
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Web Scrapping Based Flipkart Data Analytics and Visualization
Large amounts of data are produced by e commerce companies like Flipkart, which offer valuable insights into consumer attitudes, industry trends, and product performance. Using Beautiful Soup and Scra...
View Book →Introduction to machine learning with Python : a guide for data scientists
xii, 376 pages : 24 cm...
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Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programmi
1 online resource (xxi, 337 pages)...
View Book →wallhittingproblem1
🎯 Wall Hitting Physics Simulation using Python | Projectile Motion with Vertical Rebound This Python program demonstrates the physics of a ball thrown at an angle that hits a vertical wall , calcul...
View Book →Mastering Matplotlib 2. x
First published in 2018...
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