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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
COP 236534
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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
- 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?
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Students in STEM
Ideal for students studying science, technology, engineering, or mathematics who want to improve computational skills.
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Data Analysts
Helpful for data analysts needing to apply mathematical concepts using Python for data processing and statistical analysis.
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Python Beginners
Beginners in Python seeking practical applications of math in programming will benefit from its recipe-style approach.
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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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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. **
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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.
Product Price History
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COP 236534
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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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