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Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools Hemant Kumar Mehta

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools Hemant Kumar Mehta - okladka książki

Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools Hemant Kumar Mehta - okladka książki

Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools Hemant Kumar Mehta - audiobook MP3

Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools Hemant Kumar Mehta - audiobook CD

Autor:
Hemant Kumar Mehta
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
300
Dostępne formaty:
     PDF
     ePub
     Mobi
Ebook
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Do przechowalni

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.

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O autorze książki

Hemant Kumar Mehta is a distributed and scientific computing enthusiast. He has more than 13 years of experience of teaching, research, and software development. He received his BSc (in computer science) Hons., master of computer applications degree, and PhD in computer science from Devi Ahilya University, Indore, India in 1998, 2001, and 2011, respectively. He has experience of working in diverse international environments as a software developer in MNCs. He is a post-doctorate fellow at an international university of high reputation. Hemant has published more than 20 highly cited research papers in reputed national and international conferences and journals sponsored by ACM, IEEE, and Springer. He is the author of Getting Started with Oracle Public Cloud, Packt Publishing. He is also the coauthor of a book named Internet and Web Technology, published by Kaushal Prakashan Mandir, Indore. He earned his PhD in the field of cloud computing and big data. Hemant is a member of ACM (Special Interest Group on High-performance Computing Education: SIGHPC-Edu), senior member of IEEE (the computer society, STC on cloud computing, and the big data technical committee), and a senior member of IACSIT, IAENG, and MIR Labs.

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