Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
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Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
Discover easy-to-follow solutions and techniques to implement applied mathematical concepts using Python's numeric and scientific libraries
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
Nº de artículo: 34894596

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

86% of respondents would recommend this to a friend

Nº de artículo: 34894596

BOB 391

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Discover easy-to-follow solutions and techniques to implement applied mathematical concepts using Python's numeric and scientific libraries
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What Stands Out

Hands-On Recipes
Provides practical, step-by-step recipes that enable users to tackle real-world computational math problems efficiently using Python, making complex concepts accessible to learners and professionals alike.
Diverse Libraries
Leveraging a variety of Python libraries, the book equips readers with tools that enhance computational capabilities, thereby addressing a broad spectrum of mathematical challenges in effective and innovative ways.
Targeted Audience
Designed for both beginners and seasoned programmers, it offers insights tailored to users looking to enhance their mathematical problem-solving skills through programming, ensuring a valuable resource for diverse learning backgrounds.

Detalles de producto

Shop Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries online at a best price in Bolivia. 1838989757
  • Learn how to implement applied mathematical concepts using Python programming and its libraries
  • Compute complex mathematical problems using step-by-step recipes
  • Discover techniques for solving equations, probability, calculus, graph theory, optimization, and geometry
  • Gain practical coding solutions for computational mathematics and data science problems
  • Explore basic packages, tools, and libraries for solving mathematical problems in Python
  • Suitable for professional programmers and students with basic knowledge of mathematics
Publisher Packt Publishing
Publication date July 31, 2020
Language English
Print length 358 pages
ISBN-10 1838989757
ISBN-13 978-1838989750
Item Weight 1.36 pounds (620 grams)
Dimensions 7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Students in STEM

    Ideal for students studying science, technology, engineering, or mathematics who want to improve computational skills.

  • Data Analysts

    Helpful for data analysts needing to apply mathematical concepts using Python for data processing and statistical analysis.

  • Python Beginners

    Beginners in Python seeking practical applications of math in programming will benefit from its recipe-style approach.

Not Suitable For
  • Advanced Mathematicians

    Not suitable for highly advanced mathematicians who require in-depth theoretical exploration of complex mathematical concepts.

DESCRIPCIÓN DEL PRODUCTO

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

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Preguntas y respuestas de los clientes

  • Pregunta: What is the main focus of 'Applying Math with Python'?

    Respuesta: The book primarily focuses on leveraging Python programming to solve computational math problems. It covers various mathematical concepts while demonstrating their application through practical recipes that users can implement in real-world scenarios. This hands-on approach helps learners not only understand theoretical math but also apply these concepts effectively using Python libraries, making it a valuable resource for students, educators, and professionals looking to enhance their computational skills.
  • Pregunta: Who is the target audience for this book?

    Respuesta: The target audience for 'Applying Math with Python' includes students studying mathematics, computer science professionals, and educators looking to incorporate computational methods into their teaching. The book is suitable for those who possess a basic understanding of Python and wish to deepen their knowledge in applying mathematical concepts programmatically. It serves as a bridge for beginners to advanced learners, providing practical insights into computational problem-solving.
  • Pregunta: What Python libraries are covered in the book?

    Respuesta: The book presents several popular Python libraries such as NumPy, SciPy, and Matplotlib, which are essential for performing mathematical calculations, visualizing data, and implementing algorithms. These libraries are integral for tackling various computational math problems, such as numerical analysis, optimization, and data visualization. Readers will learn how to utilize these powerful tools to enhance their programming skills and apply them in practical contexts.
  • Pregunta: Can beginners effectively use this book?

    Respuesta: Yes, beginners can effectively use 'Applying Math with Python' as it starts with fundamental concepts and gradually progresses to more complex topics. The book includes step-by-step instructions and code examples that guide readers through the computational problem-solving process. Additionally, it encourages practical application, allowing new learners to experiment and build confidence in their programming and mathematical abilities.
  • Pregunta: Are there any prerequisites to read this book?

    Respuesta: While 'Applying Math with Python' is aimed at those with a basic understanding of Python programming, readers should also have a fundamental grasp of high school-level mathematics. Comfort with basic programming concepts and mathematical principles will enhance the learning experience, enabling readers to tackle the recipes and apply the techniques discussed. However, any motivated learner willing to explore the subject matter will find value in the book.
  • Pregunta: What kind of practical problems does the book address?

    Respuesta: The book addresses a variety of practical problems ranging from simple calculations to complex data analyses. It includes recipes for statistical analysis, data visualization, and algorithm development, making it applicable in fields such as data science, engineering, and economic modeling. By following the hands-on examples, readers can see how these concepts translate into solving real-world issues, fostering a deeper understanding of computational applications.
  • Pregunta: How does the book enhance programming skills?

    Respuesta: The book enhances programming skills by providing practical coding exercises alongside mathematical theories. Readers will learn how to write efficient Python code to solve complex problems, understand the intricacies of various algorithms, and apply best practices in programming. This combination of mathematical insight and programming proficiency allows readers to not only improve their coding abilities but also apply their knowledge to innovative solutions in various fields.
  • Pregunta: Does the book provide examples or case studies?

    Respuesta: Yes, 'Applying Math with Python' is rich with examples and case studies that illustrate the application of mathematical concepts in solving computational problems. These real-life scenarios help readers relate the material to practical situations they might encounter in their careers or studies. By analyzing these examples, readers gain insights into effective problem-solving techniques and how to implement them using Python.
  • Pregunta: How is the content structured in the book?

    Respuesta: The content in 'Applying Math with Python' is structured logically, starting with fundamental concepts and progressively delving into more advanced topics. Each chapter typically begins with a theoretical explanation, followed by practical coding examples and exercises that reinforce the concepts discussed. This structure supports learners in building their knowledge step-by-step, making it easier to digest complex ideas and apply them effectively using Python.
  • Pregunta: Where can I buy 'Applying Math with Python' in Bolivia?

    Respuesta: You can purchase 'Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries' through Ubuy in Bolivia. Ubuy offers a wide variety of books and materials, ensuring you have access to this insightful resource. Simply visit their website, search for the book title, and follow the steps to secure your copy, allowing you to explore the exciting intersection of mathematics and programming.

Python Editorial Review

**** "Applying Math with Python" presents a targeted and practical approach for individuals looking to deepen their computational math skills within the context of Python programming. Readers with technical backgrounds, such as those in mechanical engineering or machine learning, have found this book to be particularly beneficial, as it equips them with the knowledge to navigate complex topics without diluting the content with unnecessary breadth. The book distinguishes itself from its competitors by focusing on specific libraries and their applications, such as pandas, numpy, sympy, scipy, and visualization tools like matplotlib and Bokeh. This depth of coverage is praised by users who appreciate the hands-on application of these tools to real-world problems, including Monte Carlo simulations and optimization tasks that are directly related to their work. Moreover, the book serves as an entry point for readers familiar with other programming languages, like R, who want to transition to Python while exploring the mathematical and statistical functionalities available in this ecosystem. Users also noted its concise nature, making it easier to reference solutions quickly and effectively, which is a significant advantage for those juggling multiple coding resources. However, some feedback has pointed out the need for more comprehensive strategies regarding memory management in larger projects, suggesting that while the book is solid in its current offerings, an expansion in this area could enhance the learning experience for more complex projects. Overall, "Applying Math with Python" is highly recommended for practitioners in engineering, finance, and healthcare looking for a resource that bridges the gap between mathematical theory and practical programming. **

Customer Reviews & Ratings

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ventajas

  • Targeted content focused on practical applications of math in Python.
  • Coverage of essential libraries like pandas, numpy, sympy, and scipy.
  • Useful for both engineering and machine learning applications.
  • Concise and easy to reference solutions.
  • Great for transitioning from R to Python for statistics.

Contras

  • Limited guidance on memory management for large projects.

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características y beneficios

  • Learn to solve complex mathematical problems using Python programming
  • Explore techniques to solve computational mathematical problems
  • Understand applied mathematics core concepts
  • Choose the most suitable package, tool or technique to solve a problem
  • Implement basic mathematical plotting and probability theory
  • For advanced programmers and students with basic mathematics knowledge

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