- Mājas lapa /
- Grāmatas /
- Datori un tehnoloģijas /
- Programming /
- Algorithms /
- Applying Math with Python: Practical recipes ...
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
€ 51
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from ASV
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Discover easy-to-follow solutions and techniques to implement applied mathematical concepts using Python's numeric and scientific libraries
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Produkta informācija
- 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.
-
Python Beginners
Beginners in Python seeking practical applications of math in programming will benefit from its recipe-style approach.
-
Advanced Mathematicians
Not suitable for highly advanced mathematicians who require in-depth theoretical exploration of complex mathematical concepts.
PRODUKTA APRAKSTS
Klientu jautājumi un atbildes
-
jautājums:
Kā iepirkties Applying Math with Python: Practical recipes for tiešsaistē no Ubuy?
atbildi: Ir viegli iepirkties Applying Math with Python: Practical recipes for tiešsaistē no Ubuy.. Jums vienkārši ir jāmeklē prece, izrakstīšanās laikā jāizvēlas piegādes veids un jāsaņem tā piegāde uz jūsu atrašanās vietu. -
jautājums:
Vai Applying Math with Python: Practical recipes for ir pieejams iepirkšanās tiešsaistē šeit: Latvia?
atbildi: Jā, Ubuy Latvia šis produkts ir pieejams, lai jūs varētu iepirkties par saprātīgu cenu.. Applying Math with Python: Practical recipes for nav pieejams lokāli, taču varat mums uzticēt mūsu ātrās piegādes pakalpojumus. -
jautājums:
Cik ilgs laiks nepieciešams, lai saņemtu preci pēc pasūtījuma veikšanas?
atbildi: Jūsu pasūtītās preces piegādes laiks atšķiras atkarībā no jūsu pasūtījuma un jūsu izvēlētā piegādes veida.. Paredzamais piegādes laiks tiek minēts norēķināšanās procesā, tāpēc iepērkoties esiet bezrūpīgs.
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.
Customer Reviews & Ratings
-
5 zvaigzne
74%
-
4 zvaigzne
11%
-
3 zvaigzne
7%
-
2 zvaigzne
6%
-
1 zvaigzne
2%
Pārskatiet šo produktu
Dalieties savās domās ar citiem klientiem
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
Mīnusi
- Could include more on memory management best practices
Product Price History
Svarīga informācija
- Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
- Ne visi Ubuy uzskaitītie produkti ir pārdošanā, jo Ubuy ir globāla meklētājprogramma. Uz produktiem attiecas eksporta/tirdzniecības noteikumi.
€ 51
Pasūtiet tūlīt un saņemiet to Piektdiena, Oktobris 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Funkcijas un priekšrocības
- 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
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.