Scientific Computing with Python : High-performance scientiﬁc computing with NumPy, SciPy, and pandas

Scientific Computing with Python : High-performance scientiﬁc computing with NumPy, SciPy, and pandas

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Bibliografiske detaljer
Hovedforfatter:	Führer, Claus. (Auteur)
Andre forfattere:	Solem, Jan Erick. (Auteur), Verdier, Olivier.
Format:	E-Book
Sprog:	Anglais
Udgivet:	Birmingham : Packt Publishing, 2021.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

Lignende værker

Learning SciPy for numerical and scientific computing
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Scientific computing with Python 3
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Mastering numerical computing with NumPy : master scientific computing and perform complex operations with ease
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Mastering Python scientific computing : a complete guide for Python programmers to master scientific computing using Python APIs and tools
af: Mehta, Hemant Kumar.
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Scientific computing with Scala
af: Jancauskas, Vytautas.
Udgivet: (2016)

SciPy recipes
af: Martins, L. Felipe.
Udgivet: (2017)

Mastering SciPy
af: Blanco-Silva, Francisco J..
Udgivet: (2015)

Mastering scientific computing with R
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Udgivet: (2015)

Essentials of scientific computing : numerical methods in science and engineering
af: Zalizniak, Victor.
Udgivet: (2008)

Monte Carlo strategies in scientific computing
af: Liu, Jun S.
Udgivet: (2001)

Data Analysis with Python : Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (English Edition)
af: Dixit, Rituraj.
Udgivet: (2022)

NumPy essentials
af: Chin, Leo (Liang-Huan).
Udgivet: (2016)

Analyse de données en Python : manipulation de données avec pandas, NumPy et IPython
af: McKinney, Wes, 1985-
Udgivet: (2015)

Learning NumPy Array
af: Idris, Ivan.
Udgivet: (2014)

NumPy : beginner's guide
af: Idris, Ivan.
Udgivet: (2015)

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy
af: Idris, Ivan.
Udgivet: (2012)

Python Data Cleaning Cookbook : Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
af: Walker, Michael.

Hands-on data analysis with NumPy and pandas : implement Python packages from data manipulation to processing
af: Miller, Curtis.
Udgivet: (2018)

Python 3 Image Processing : Learn Image Processing with Python 3, NumPy, Matplotlib, and Scikit-image
af: Pajankar, Ashwin.

NumPy beginner's guide (Second Edition)
af: Idris, Ivan.
Udgivet: (2013)

Hands-On GPU Computing with Python : Explore the capabilities of GPUs for solving high performance computational problems
af: Bandyopadhyay, Avimanyu.
Udgivet: (2019)

Learning Julia : build high-performance applications for scientiﬁc computing
af: Joshi, Anshul.
Udgivet: (2017)

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python
af: Fuentes, Alvaro.
Udgivet: (2018)

Reality and scientific theology
af: Torrance, Thomas Forsyth (1913-2007).
Udgivet: (2017)

The principles of scientific management
af: Taylor, Frederick Winslow, 1856-1915.
Udgivet: (2014)

Dictionary of scientific principles
af: Marvin, Stephen.
Udgivet: (2010)

Creating scientific concepts
af: Nersessian, Nancy J..
Udgivet: (2008)

Distributed computing with Python : harness the power of multiple computers using Python through this fast-paced informative guide
af: Pierfederici, Francesco (19..-....; informaticien).
Udgivet: (2016)

The scientific revolution and world politics
af: Haskins, Caryl Parker, 1908-
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Listening comprehension for scientific english
af: Upjohn, Jonathan.
Udgivet: (1993)

Christian theology and scientific culture
af: Torrance, Thomas Forsyth (1913-2007).
Udgivet: (2017)

French scientific and cultural diplomacy
af: Lane, Philippe.

Neural Network for Beginners : Build Deep Neural Networks and Develop Strong Fundamentals using Python's NumPy, and Matplotlib
af: Klaas, Sebastian.

Minimum competence in scientific English
af: Upjohn, Jonathan.
Udgivet: (2000)

Speaking skills in scientific english,
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Udgivet: (1997)

Minimum competence in scientific English
af: Blattès, Susan (1955-....; angliciste).
Udgivet: (2013)

Numerical computing with Python : harness the power of Python to analyze and find hidden patterns in the data
af: Dangeti, Pratap.
Udgivet: (2018)

Marxism and Scientific Socialism : From Engels to Althusser
af: Thomas, Paul.

Encyclopedia of the Scientific Revolution From Copernicus to Newton
af: Applebaum, Wilbur.

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
af: Amr, Tarek (19..-....).
Udgivet: (2020)

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