Showing results for "Scientific Data Analysis using Jython Scripting and Java S. V Chekanov German"

Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-ana...

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language.The author focus...

From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesThis book targets features in pandas 2.x and beyondPractical, easy to implement recipes for quick solutions to common problems in data using pandasMaster the fundamentals of pand...

Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making Key Features ● Comprehensive Resource for Python-Based Time Series Analysis and Forecasting. ● Delve into real-world applications with industry-specific case studies. ● Extract valuable insights by solving time series challenges across various sectors. ● Understand the significance of Azure Time Series Insights and AWS Forecast components. ● Practical insights into leveraging cloud platfo...

Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.Key FeaturesThis is the first book on pandas 1.xPractical, easy to implement recipes for quick solutions to common problems in data using pandasMaster the fundamentals of pandas to quickly begin exploring any datasetBook DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many...

Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook...

Get started with Python for data analysis and numerical computing in the Jupyter NotebookKey FeaturesLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy, matplotlib, and seabornPerform highly-efficient numerical computations with Numba, Cython, and ipyparallelBook DescriptionPython is a user-friendly and powerful programming language. IPython offers a convenient interface to the lan...

"Mastering Data Structures and Algorithms in Python & Java" is a comprehensive guide for programmers aiming to enhance their problem-solving skills and code efficiency. It starts with a foundational overview of data structures and algorithms, including recursion, and advances through crucial topics like functional programming and clean code practices. The book covers practical exercises, mock interviews, and detailed discussions on advanced structures such as balanced trees, graphs, and tr...

Feeling overwhelmed by the abundance of conflicting information on the internet?Tired of grappling with highly unrealistic and time-consuming projects, where crucial details are often missing and instructions are confusing? Dive into the essence of effective Python programming and seize your copy of "Python Machine Learning" to kickstart your transformative journey. Bid farewell to failed projects and discover a wealth of brain-boosting ideas within these pages.Equip yourse...

Get the most out of the popular Java libraries and tools to perform efficient data analysisKey FeaturesGet your basics right for data analysis with Java and make sense of your data through effective visualizations.Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.This is your companion to understanding and implementing a solid data analysis solution using JavaBook Descript...

Have you ever experienced coincidences that cannot be logically explained? This book helps the readers understand the meaning of synchronicity, or remarkable coincidences in people's lives. This work not only explains the mystery of synchronicity, originally introduced by Carl Jung, but it also shows how to make simple calculations to estimate the chances that coincidences are not due to mere randomness. The reader will learn how to prove that the coincidences in their lives have meaning, ...

Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!Key Features● Comprehensive Learning Journey from fundamentals of Julia ML to advanced techniques.● Immersive practical approach with real-world examples, exercises, and scenarios, ensuring immediate application of acquired knowledge.● Delve into the unique features of Julia and unlock its true potential to excel in modern ML applications.