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Books on the topic 'Python tool'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Krivolapov, Sergey. Introduction to data analysis. Searching for a data structure using Python. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2082643.

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The tutorial discusses Python language tools for identifying and subsequent use of the internal structure of data using Markov process methods, statistical, cluster and regression analysis of data. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students, postgraduates, researchers and teachers.

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2

Krivolapov, Sergey. Data analysis. Methods of probability theory and mathematical statistics in Python. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2034420.

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The textbook contains a description of probabilistic and statistical methods that form the theoretical basis of data analysis. It is characterized by intensive use of Python language tools. Detailed solutions are provided for all examples and tasks. Meets the requirements of the latest generation of federal state educational standards for higher education. For students, postgraduates, researchers and teachers.

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3

Inc, ebrary, ed. Python geospatial development: Build a complete and sophisticated mapping application from scratch using Python tools for GIS development. Packt Open Source, 2010.

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4

Nazarov, Dmitriy, and Anton Kopnin. Information technologies in professional activity: data mining and business analytics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110964.

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The textbook offers a comprehensive look covering a wide range of topics related to the role of information technology in the modern world. Starting with an overview of the history of information technology and its evolution, the book introduces the reader to professions in the field of information and digital technologies, emphasizing them in various professional fields. The content of the textbook includes a detailed analysis of key concepts such as Data Science, Data Mining and Machine Learning, and their role in healthcare, law, education, science and business. The textbook provides a deta

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5

Publishing, K. M. L. Python Programmer Notebook: Lined Notebook / Journal Gift, 120 Pages, 6x9, ... Python for Dummies, Key Fob Programming Tool. Independently Published, 2021.

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6

Publishing, K. M. L. Python Programmer Notebook: Lined Notebook / Journal Gift, 120 Pages, 8. 5x11 ... Python for Dummies, Key Fob Programming Tool. Independently Published, 2021.

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7

Essick, John. The Python-Based Laboratory. Oxford University PressOxford, 2024. https://doi.org/10.1093/9780191998478.001.0001.

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Abstract The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work. The Python-Based Laboratory leads its readers to mastery of the popular, open-source Python computer language in its role as a powerful laboratory tool by carrying out interesting and relevant projects that explore the acquisition, production, analysis, and presentation of digitized waveforms. Readers, who are assumed to have no prior computer programming or Python background,

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8

Scratch, Michael, and Erik Scratch. Coding Python: The Ultimate Tool to Progress Your Python Programming from Good to Great While Making Coding in Scratch Look Easy. Independently Published, 2020.

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9

Overy, Enedina. Tool for Raspberry Pi 3 Configuration : Interacting with Raspberry Pi: Python Raspberry Pi Tutorial. Independently Published, 2021.

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10

Lawhead, Joel. QGIS Python Programming Cookbook: Over 140 Recipes to Help You Turn QGIS from a Desktop GIS Tool into a Powerful Automated Geospatial Framework. Packt Publishing, Limited, 2015.

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11

Machine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to the Next Level of Coding and Algorithms Optimization. Independently Published, 2021.

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12

Yudin, Art. Basic Python for Data Management, Finance, and Marketing: Advance Your Career by Learning the Most Powerful Analytical Tool. Apress L. P., 2021.

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13

Wall, Eric. Python Crash Course: A Beginner's Guide to Master the Basics of Python and Data Science. Learn Coding with This Machine Learning Tool. Discover the Endless Possibilities of Computers and Codes. Independently Published, 2020.

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14

Python Crash Course: A Beginner's Guide to Master the Basics of Python and Data Science. Learn Coding with This Machine Learning Tool. Discover the Endless Possibilities of Computers and Codes. Independently Published, 2020.

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15

Learn Python : This Book Includes: Crash Course and Coding. a Guide to Master Python, Data Science and Analysis. Advanced Methods to Learn How to Create Codes with This Machine Learning Tool. Independently Published, 2020.

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16

Sabia, Martino, and Cathy Wang. Python Tools for Visual Studio. Packt Publishing, Limited, 2014.

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17

Lean Python: Learn Just Enough Python to Build Useful Tools. Apress, 2016.

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18

Gundecha, Unmesh. Learning Selenium Testing Tools with Python. Packt Publishing, 2014.

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19

Gundecha, Unmesh. Learning Selenium Testing Tools with Python. Packt Publishing, Limited, 2014.

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20

Allen, Michael P., and Dominic J. Tildesley. Computer Simulation of Liquids. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.001.0001.

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This book provides a practical guide to molecular dynamics and Monte Carlo simulation techniques used in the modelling of simple and complex liquids. Computer simulation is an essential tool in studying the chemistry and physics of condensed matter, complementing and reinforcing both experiment and theory. Simulations provide detailed information about structure and dynamics, essential to understand the many fluid systems that play a key role in our daily lives: polymers, gels, colloidal suspensions, liquid crystals, biological membranes, and glasses. The second edition of this pioneering book

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21

Python Tools for Data Scientists Pocket Primer. Mercury Learning & Information, 2022.

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22

Booth, Travis. Python Coding: Tools and Basics for Beginners. Independently Published, 2019.

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23

Python Tools for Data Scientists Pocket Primer. Mercury Learning & Information, 2022.

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24

Python Tools for Data Scientists Pocket Primer. Mercury Learning & Information, 2022.

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25

Browning, J. Burton. Pro Python 3: Features and Tools for Professional Development. Apress, 2019.

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26

Schanafelt, Dawn, ed. Python Data Science Handbook: Essential Tools for Working with Data. O’Reilly Media, 2016.

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27

Python Data Science Handbook: Essential Tools for Working with Data. O'Reilly Media, Incorporated, 2023.

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28

Jarmul, Katharine, and Jacqueline Kazil. Data Wrangling with Python: Tips and Tools to Make Your Life Easier. O'Reilly Media, Incorporated, 2016.

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29

Kruk, Serge. Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools. Apress, 2018.

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30

Jarmul, Katharine, and Jacqueline Kazil. Data Wrangling with Python: Tips and Tools to Make Your Life Easier. O'Reilly Media, Incorporated, 2016.

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31

Jarmul, Katharine, and Jacqueline Kazil. Data Wrangling with Python: Tips and Tools to Make Your Life Easier. O'Reilly Media, Incorporated, 2016.

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32

Mehta, Hemant Kumar. Mastering Python Scientific Computing: A Complete Guide for Python Programmers to Master Scientific Computing Using Python APIs and Tools. Packt Publishing, Limited, 2015.

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33

Norton, Bill. Python Programming: A Complete Beginners Guide on Python Machine Learning, Data Science and Tools. Independently Published, 2020.

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34

Machine Learning with Python: Hands on Machine Learning with Python Tools, Concept and Techniques. Independently Published, 2020.

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35

Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques. Bob Mather, 2019.

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36

Mather, Bob. Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques. Independently Published, 2018.

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37

Soranson, Oliver. Learning Python: The Ultimate Guide for Beginners to Coding with Python with Useful Tools. Independently Published, 2019.

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38

Solem, Jan Erik. Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images. O'Reilly Media, Incorporated, 2012.

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39

Solem, Jan Erik. Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images. O'Reilly Media, Incorporated, 2012.

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40

Kazarinoff, Peter D. Problem Solving with Python 3.7 Edition: A beginner's guide to Python & open-source programming tools. Independently published, 2019.

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41

Learning Python: The Ultimate Guide for Beginners to Coding with Python Accompanied by Useful Tools. Independently Published, 2020.

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42

Python Data Science Cookbook. Packt Publishing, Limited, 2015.

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43

Python Data Science Cookbook. Packt Publishing, Limited, 2015.

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44

Westra, Erik. Python Geospatial Analysis Essentials: Process, Analyze, and Display Geospatial Data Using Python Libraries and Related Tools. Packt Publishing, Limited, 2015.

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45

Python for Security and Networking: Leverage Python Modules and Tools in Securing Your Network and Applications. de Gruyter GmbH, Walter, 2023.

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46

Kazarinoff, Peter D. Problem Solving with Python 3. 6 Edition: A Beginner's Guide to Python & Open-Source Programming Tools. Independently Published, 2019.

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47

SNYDER, Neil NEIL. Python Data Science: A Complete Guide to Learn Python for Data Analysis, with Business Analytics Tools. Independently Published, 2021.

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48

Python for Security and Networking: Leverage Python Modules and Tools in Securing Your Network and Applications. Packt Publishing, Limited, 2023.

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49

Galea, Alex. Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data. Packt Publishing, 2018.

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50

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools. Manning Publications, 2016.

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