BLGM's mission is to promote a love of books and reading to all by offering advice and information needed to help our visitors to find their next favorite book. We regularly create and post so-called listicles (also known as booklists) on various mostly tech-related topics.

Best Scipy Books You Must Read

In this post, we have prepared a curated top list of reading recommendations for beginners and experienced. This hand-picked list of the best Scipy books and tutorials can help fill your brain this January and ensure you’re getting smarter. We have also mentioned the brief introduction of each book based on the relevant Amazon or Reddit descriptions.

1. SciPy Recipes: A cookbook with over 110 proven recipes for performing mathematical and scientific computations (2017)

 Best Scipy Books You Must ReadWith the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others.
Author(s): L. Felipe Martins, Ruben Oliva Ramos

2. Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy (2017)

 Best Scipy Books You Must ReadWrite your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform. This concise quick-start guide provides working code examples and exercises. Learn how to interface Raspberry Pi with various image sensors. What You’ll Learn: Understand Raspberry Pi concepts and setup; Understand digital image processing concepts; Study pillow, the friendly PIL fork; Explore scipy.ndimage and matplotlib;  Master use of the Pi camera and webcam. Raspberry Pi and IoT enthusiasts…
Author(s): Ashwin Pajankar

3. Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts (2017)

 Best Scipy Books You Must ReadBuild an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards…
Author(s): Ashwin Pajankar

4. Python Data Science Handbook (2016)

 Best Scipy Books You Must ReadFor many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming…
Author(s): Jake VanderPlas

5. Elegant SciPy: The Art of Scientific Python (2017)

 Best Scipy Books You Must ReadWelcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write elegant code that’s clear, concise, and efficient at executing the task at hand. Throughout the book, you’ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined…
Author(s): Juan Nunez-Iglesias, Stéfan van der Walt

6. Learning SciPy for Numerical and Scientific Computing Second Edition (2015)

 Best Scipy Books You Must ReadQuick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy. This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms.
Author(s): Sergio J. Rojas G., Erik A Christensen

7. Python for Data Science For Dummies (For Dummies (Computer/Tech)) (2015)

 Best Scipy Books You Must ReadUnleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns.
Author(s): John Paul Mueller, Luca Massaron

8. Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series) (2018)

 Best Scipy Books You Must ReadThe Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python. Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together…
Author(s): Daniel Y. Chen

9. Data Analysis with Open Source Tools: A Hands-On Guide for Programmers (2010)

 Best Scipy Books You Must ReadThese days it seems like everyone is collecting data. But all of that data is just raw information — to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data…
Author(s): Philipp K. Janert

10. PySpark Recipes: A Problem-Solution Approach with PySpark2 (2017)

 Best Scipy Books You Must ReadQuickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand…
Author(s): Raju Kumar Mishra

11. Mastering SciPy (2015)

 Best Scipy Books You Must ReadIf you are a professional with a proficiency in Python and familiarity with IPython, this book is for you. Some basic knowledge of numerical methods in scientific computing would be helpful. The SciPy stack is a collection of open source libraries of the powerful scripting language Python, together with its interactive shells. This environment offers a cutting-edge platform for numerical computation, programming, visualization and publishing, and is used by some of the world’s…
Author(s): Francisco J. Blanco-Silva

12. Introducing Data Science (2016)

 Best Scipy Books You Must ReadIntroducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you’ll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist…
Author(s): Davy Cielen, Arno Meysman

You might also be interested in:, SAP, Redis, ASP.NET MVC, Sinatra, Angular, CUDA, Typo3, Nodejs, GPS Books.

Best Scipy Books You Must Read

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Genesis and download some Scipy books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Author(s): Robert Johansson
ID: 2302028, Publisher: Apress, Year: 2019, Size: 23 Mb, Format: pdf

Raspberry Pi Supercomputing and Scientific Programming. MPI4PY, NumPy, and SciPy for Enthusiasts

Author(s): Ashwin Pajankar
ID: 1685037, Publisher: Apress, Year: 2017, Size: 5 Mb, Format: pdf

Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts

Author(s): Ashwin Pajankar
ID: 1697930, Publisher: Apress, Year: 2017, Size: 5 Mb, Format: pdf

Please note that this booklist is not absolute. Some books are absolutely chart-busters according to USA Today, others are composed by unknown writers. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Leave a comment if you have any feedback on the list.

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