Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Applying Math with Python
Applying Math with Python

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

Arrow left icon
Profile Icon Morley Profile Icon Sam Morley
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (4 Ratings)
Paperback Jul 2020 358 pages 1st Edition
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Morley Profile Icon Sam Morley
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (4 Ratings)
Paperback Jul 2020 358 pages 1st Edition
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Compute complex mathematical problems using programming logic with the help of step-by-step recipes
  • Learn how to utilize Python's libraries for computation, mathematical modeling, and statistics
  • Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics

Description

Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python’s scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.

Who is this book for?

This book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.

What you will learn

  • Get familiar with basic packages, tools, and libraries in Python for solving mathematical problems
  • Explore various techniques that will help you to solve computational mathematical problems
  • Understand the core concepts of applied mathematics and how you can apply them in computer science
  • Discover how to choose the most suitable package, tool, or technique to solve a certain problem
  • Implement basic mathematical plotting, change plot styles, and add labels to the plots using Matplotlib
  • Get to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methods

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2020
Length: 358 pages
Edition : 1st
Language : English
ISBN-13 : 9781838989750
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jul 31, 2020
Length: 358 pages
Edition : 1st
Language : English
ISBN-13 : 9781838989750
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$12.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$129.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$179.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 121.97
Hands-On Mathematics for Deep Learning
$43.99
The Statistics and Calculus with Python Workshop
$38.99
Applying Math with Python
$38.99
Total $ 121.97 Stars icon
Visually different images

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(4 Ratings)
5 star 75%
4 star 0%
3 star 0%
2 star 25%
1 star 0%
Akul Sep 23, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I bought an ebook version and it’s definitely worth reading. I am an ML Practitioner and sometimes I have to scroll through tons of web pages to find the right code for solving a math problem pertaining to optimization, linear algebra and calculus but with this book, everything seems straight forward and concise. It’s a great read for those who would like to understand the math behind ML and code in python.
Amazon Verified review Amazon
Viktor Kis Aug 27, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
With a mechanical engineering background this was a 100% relatable python book for me. There are many intro to python books out there that lightly touch on a wide variety of topics for the hopes of engaging a wider audience; there will be topics of pandas and numpy followed by a chapter on web APIs. That might be great for someone that wants to know a little bit about everything but I found this book to be just right in terms of what was covered. Sure i could have bought a book just on pandas but exposure to sympy for symbolic math, scipy for integration and difEqs, matplotlib (networks), Bokeh for interactive plots was just want i wanted to see. I particularly liked the section on performance and using cython for speeding up your projects. The Monte Carlo estimating was great and also directly applicable to my work - it gave me some ideas to expand my project. The one issue i have run into in my projects is memory management, and i would have like to see some more suggestions on best practices for large projects. Overall solid book for folks working in the engineering field, and i am sure with all the examples listed it is very applicable to the financial and medical fields.
Amazon Verified review Amazon
rami krispin Nov 28, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides a great introduction to Python math/stats functionality such as differential equations, probability, regression analysis, time series, and forecasting, etc. Highly recommended for R and stats people (like myself) that want to go deeper into Python.
Amazon Verified review Amazon
nh Feb 01, 2022
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
I'm not sure about the contents - which at first glance seems a little superficial.But what is really poor is print quality. The are several pictures which are supposed to be in color, but are B&W instead.The book seems to be out of an old Xerox machine (or a poor laser office printer).Not the quality I was expecting, unfortunately.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.