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- Title NumPy Tutorials
- Author(s) Usman Malik, Anne Bonner, Justin Johnson, Tutorials Point
- Publisher: Internet Communities
- Hardcover/Paperback N/A
- eBook HTML
- Language: English
- ISBN-10: N/A
- ISBN-13: N/A
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These excellent tutorials provide everything you need to know to get started with NumPy.
They explain the basics of NumPy such as its architecture and environment, discusses the various array functions, types of indexing, etc. An introduction to Matplotlib is also provided. All this is explained with the help of examples for better understanding.
They cover multiple topics and concepts during the tutorial, such as Python versions, basic data types, lists, containers, dictionaries, sets, and much more.
- A set of carefully selected extensive free tutorials that can help you build a strong knowledge of various Python and NumPy concepts for data science
- Learn the basics and advanced concepts of NumPy, such as how it can be used with Python programming, how to create pie charts and bar charts with NumPy, etc.
- Learn from the comfort of your home on any device without any deadline
- N/A
- NumPy Beginner's Guide
- NumPy Tutorial: A Simple Example-Based Guide (Usman Malik)
- The Ultimate Beginner's Guide to NumPy (Anne Bonner)
- Python Numpy Tutorial with Jupyter and Colab (Justin Johnson)
- NumPy Tutorial by Tutorials Point
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From Python to NumPy (Nicolas P. Rougier)
NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts.
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Guide to NumPy (Travis E. Oliphant)
This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python. It will give you a solid foundation in NumPy arrays and universal functions.
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Programming for Computations - Python 3 Edition
This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.
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Scipy Lecture Notes (Emmanuelle Gouillart, et al)
This book teaches the scientific Python ecosystem, a quick introduction to central tools and techniques. It is for programmers from beginner to expert. Work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries.
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SciPy Programming Succinctly (James McCaffrey)
This book offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices.
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Computational Physics with Python (Eric Ayars)
This book provides an unusually broad survey of the topics of modern computational physics. Its philosophy is rooted in learning by doing, with new scientific materials as well as with the Python programming language.
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Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, it guides readers through the essential steps to quickly solving a PDE in FEniCS.
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Python Scripting for Computational Science (Hans Langtangen)
With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language.
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