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Item #:
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
Item #:
34894596
MYR 274
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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.
Product Details
- 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?
-
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.
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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.
Product Description
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
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Algorithms Editorial Review
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries is a thorough resource for those in engineering, finance, and medical fields. Readers have found the book particularly beneficial for its in-depth coverage of libraries such as pandas, numpy, sympy, and scipy, which are crucial for tackling mathematical problems effectively. Many reviews highlight its straightforward approach to complex topics like optimization, linear algebra, and calculus, making it an excellent read for both beginners and experienced practitioners. While some users noted the need for more guidance on memory management in larger projects, the book remains a solid recommendation for anyone looking to deepen their understanding of the math behind machine learning and its applications in Python.
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Pros
- In-depth coverage of Python libraries for math and stats
- Great for engineering, finance, and medical applications
- Straightforward explanations of complex mathematical concepts
- Useful for ML practitioners needing efficient code
- Includes practical examples for real-world applications
Cons
- Could include more on memory management best practices
Product Price History
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MYR 274
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Features & Benefits
- 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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