Showing results for "Scientific data analysis using Jython scripting and Java S. V Chekanov English"

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...

Empower Your Data Insights with Java's Top Tools and Frameworks.Key Features● Explore diverse techniques and algorithms for data analytics using Java.● Learn through hands-on examples and practical applications in each chapter.● Master essential tools and frameworks such as JFreeChart for data visualization and Deeplearning4j for deep learning.Book DescriptionThis book is a comprehensive guide to...

Empower Your Data Insights with Java's Top Tools and Frameworks.Book DescriptionThis book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis.The middle section of the book dives deeper into statistical techniques like descriptive analysis a...

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...

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 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...

Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wranglingDiscover supervised, unsupervised, probabilistic, and Bayesian machine learning methodsGet to grips with graph processing and sentiment analysisBook DescriptionData analysis enables you to generate value fro...

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...