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Scientific Data: A 50 Steps Guide Using Python - (De Gruyter Textbook) by Matthias Josef Hofmann (Paperback)

Name: Scientific Data: A 50 Steps Guide Using Python - (De Gruyter Textbook) by Matthias Josef Hofmann (Paperback)
Brand: de Gruyter
SKU: 1010971660
Price: 51.99 USD
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Details

Highlights

"Scientific Data: A 50 Steps Guide using Python" is your guide towards experimental scientific data.
About the Author: Matthias Hofmann holds a Ph.D. in Physical Chemistry from the University of Regensburg.
234 Pages
Science, Chemistry
Series Name: de Gruyter Textbook

Description

About the Book

This guide offers a comprehensive understanding of experimental data analysis in the natural sciences while ensuring sustainable processing routines from a programmer's perspective. It applies a concise problem-solution-discussion format, supported

Book Synopsis

"Scientific Data: A 50 Steps Guide using Python" is your guide towards experimental scientific data. It aims to bridge the gap between classical natural sciences as taught in universities and the ever-growing need for technological/digital capabilities, particularly in industrial research. Topics covered include instructions for setting up a workspace, guidelines for structuring data, examples for interfacing with results files and suggestions for drawing scientific conclusions therefrom. Additionally, concepts for designing experiments and visualizing the corresponding results are highlighted next to ways of extracting meaningful characteristics and leveraging those in terms of multi-objective optimizations.

The concise problem-solution-discussion structure used throughout supported by Python code snippets emphasizes the work's focus on practitioners. This guide will provide you with a solid understanding of how to process and understand experimental data within a natural scientific context while ensuring sustainable use of your findings and processing as seen through a programmer's eyes.

About the Author

Matthias Hofmann holds a Ph.D. in Physical Chemistry from the University of Regensburg. At Albert Invent, Matthias continues to contribute to innovative methods in natural science research and accelerating R&D through a data-driven approach.

He is the author of "Data Management for Natural Scientists - A Practical Guide to Data Extraction and Storage Using Python".

Specifications

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .49 Inches (D)

Weight: .84 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 234

Genre: Science

Sub-Genre: Chemistry

Series Title: De Gruyter Textbook

Publisher: De Gruyter

Theme: General

Format: Paperback

Author: Matthias Josef Hofmann

Language: English

Street Date: October 7, 2024

TCIN: 1010971660

UPC: 9783111334578

Item Number (DPCI): 247-00-9522

Origin: Made in the USA or Imported

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Shipping details

Estimated ship dimensions: 0.49 inches length x 6.69 inches width x 9.61 inches height

Estimated ship weight: 0.84 pounds

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