Название: Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis
Автор: Аbhinаbа Ваnеrjее
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 507
Язык: английский
Формат: pdf, epub
Размер: 14.9 MB

Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.

Название: Data Visualization with Python: Exploring Matplotlib, Seaborn, and Bokeh for Interactive Visualizations
Автор: Dr. Рооjа
Издательство: BPB Publications
Год: 2023
Страниц: 350
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Transforming data into actionable insights using Python. Python is a popular programming language for data visualization due to its rich ecosystem of libraries and tools. If you're interested in delving into data visualization in Python, this book is an excellent resource to begin your journey. With Matplotlib, you'll master the art of creating a wide range of charts, plots, and graphs. From basic line plots to complex 3D visualizations, you'll learn how to transform raw data into engaging visuals that tell compelling stories. Dive into Seaborn, a high-level library built on top of Matplotlib, and discover how to effortlessly create beautiful and informative statistical visualizations effortlessly. From heatmaps to distribution plots, you'll unleash the full potential of Seaborn in your data analysis endeavors. Lastly, you will learn how to unleash the true potential of Bokeh and create compelling data visualizations that allow users to explore and interact with data dynamically. By the end of the book, you will have acquired the knowledge and skills necessary to create a diverse range of visualizations proficiently.

Название: Python 3 and Data Visualization
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 281
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.2 MB, 10.1 MB

Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. You will learn how to generate graphics using Pandas, Matplotlib, and Seaborn. In addition, an appendix contains SVG-based and D3-based graphics effects, along with links for many additional code samples. This book is intended primarily for those who have worked with Python and are interested in learning about graphics effects with Python libraries. It is also intended to reach an international audience of readers with highly diverse backgrounds in various age groups. Consequently, the book uses standard English rather than colloquial expressions that might be confusing to those readers. It provides a comfortable and meaningful learning experience for the intended readers.

Название: Overview of Practical Time Series Forecasting using Python: Forecast AirQuality using algorithms like SARIMAX
Автор: Aditya Kaushal
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 14.6 MB

This is a short book to show the readers how to build a Time Series Model using mathematical models, Python and concepts of statistics to predict real-time air quality in a local mapped area by using open source data. The main objective of this book is to teach the readers about forecasting algorithms like SARIMAX and how to build a Python project to forecast and monitor air pollution to track personal exposure to PM 2.5. At the end of the book, you will have a good understanding of SARIMAX Algorithm to make a good forecast Particulate Matter 2.5 (PM 2.5) similar to what Sci-kit - Learn regression algorithms provide. This book can be a foundation to build a mobile application/web application to forecast air quality.