How Long to Read Mastering Python Scientific Computing

How Long Does it Take to Read Mastering Python Scientific Computing?

It takes the average reader 5 hours and 2 minutes to read Mastering Python Scientific Computing by Hemant Kumar Mehta

Assuming a reading speed of 250 words per minute. Learn more

Description

A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn Fundamentals and components of scientific computing Scientific computing data management Performing numerical computing using NumPy and SciPy Concepts and programming for symbolic computing using SymPy Using the plotting library matplotlib for data visualization Data analysis and visualization using Pandas, matplotlib, and IPython Performing parallel and high performance computing Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.

How long is Mastering Python Scientific Computing?

Mastering Python Scientific Computing by Hemant Kumar Mehta is 301 pages long, and a total of 75,551 words.

This makes it 102% the length of the average book. It also has 92% more words than the average book.

How Long Does it Take to Read Mastering Python Scientific Computing Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 52 minutes to read Mastering Python Scientific Computing aloud.

What Reading Level is Mastering Python Scientific Computing?

Mastering Python Scientific Computing is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Mastering Python Scientific Computing?

Mastering Python Scientific Computing by Hemant Kumar Mehta is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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