9798868816147 - introduction to programming for researchers: learning programming fundamentals through dataset processing in bash and python de derry, james r. (16 resultados)
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Paperback. Condición: New. Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on the previous ones to ensure a solid foundation in programming.You'll b…egin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter notebooks are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy.Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities.What You Will LearnApply programming skills to enhance research productivity and efficiency.Write Bash pipelines and executable scripts.Implement basic algorithms in Python, focusing on time efficiency and structured programming.Who This Book Is ForExperienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies.
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Paperback. Condición: New. Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on the previous ones to ensure a solid foundation in programming.You'll b…egin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter notebooks are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy.Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities.What You Will LearnApply programming skills to enhance research productivity and efficiency.Write Bash pipelines and executable scripts.Implement basic algorithms in Python, focusing on time efficiency and structured programming.Who This Book Is ForExperienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Introduction to Programming for Researchers | Learning Programming Fundamentals Through Dataset Processing in Bash and Python | James R. Derry | Taschenbuch | xxi | Englisch | 2026 | Apress | EAN 9798868816147 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelber…ger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on… the previous ones to ensure a solid foundation in programming.You ll begin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter not Elektronisches Buch are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy.Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities.What You Will LearnApply programming skills to enhance research productivity and efficiency.Write Bash pipelines and executable scripts.Implement basic algorithms in Python, focusing on time efficiency and structured programming.Who This Book Is ForExperienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies. 456 pp. Englisch.
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Paperback. Condición: new. Paperback. Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on the previous ones to ensure a solid foundation in programmi…ng.Youll begin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter notebooks are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy.Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities.What You Will LearnApply programming skills to enhance research productivity and efficiency.Write Bash pipelines and executable scripts.Implement basic algorithms in Python, focusing on time efficiency and structured programming.Who This Book Is ForExperienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. Introduction.- 2. Digital Computation.- 3. Operating Systems.- 4. Introduction to Bash.- 5. Bash: Combining Commands & Variables To Make Pipelines & Scripts To Process Data.- 6. Algorithms & Coding.- 7. Floating-Point Numbers.- 8. In…troduction to Python.- 9. Using Python As A Calculator.- 10. Programming.- 11. Functions.- 12. Software Design.- 13. Working with Datasets.- 14. Programming Efficiency.- 15. Other Subjects.- 16. SciPy.- 17. Odds & Ends.- 18. Writing A Large Project.- Reference List.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on the…previous ones to ensure a solid foundation in programming.You ll begin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter not Elektronisches Buch are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy.Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities.What You Will LearnApply programming skills to enhance research productivity and efficiency.Write Bash pipelines and executable scripts.Implement basic algorithms in Python, focusing on time efficiency and structured programming.Who This Book Is ForExperienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies.
