Cargando…

Numerical Python: scientific computing and data science applications with Numpy, SciPy and Matplotlib

Detalles Bibliográficos
Autor principal:	Johansson, Robert
Lenguaje:	eng
Publicado:	Apress 2019
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2665888

Ejemplares similares

SciPy and NumPy
por: Bressert, Eli
Publicado: (2012)

Python data analytics: with Pandas, NumPy, and Matplotlib
por: Nelli, Fabio
Publicado: (2018)

Raspberry Pi supercomputing and scientific programming: MPI4PY, NumPy, and SciPy for enthusiasts
por: Pajankar, Ashwin
Publicado: (2017)

Elegant SciPy: the art of scientific Python
por: Nunez-Iglesias, Juan, et al.
Publicado: (2017)

Mastering SciPy: implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack
por: Blanco-Silva, Francisco J
Publicado: (2015)

Learning NumPy array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively
por: Idris, Ivan
Publicado: (2014)

SciPy 1.0: fundamental algorithms for scientific computing in Python
por: Virtanen, Pauli, et al.
Publicado: (2020)

SciPy recipes: a cookbook with over 110 proven recipes for performing mathematical and scientific computations
por: Martins, Luiz Felipe, et al.
Publicado: (2017)

Mastering numerical computing with NumPy: master scientific computing and perform complex operations with ease
por: Cakmak, Umit Mert, et al.
Publicado: (2018)

Raspberry Pi image processing programming: develop real-life examples with Python, Pillow, and SciPy
por: Pajankar, Ashwin
Publicado: (2017)

Python for data analysis: data wrangling with Pandas, NumPy, and IPython
por: McKinney, Wes
Publicado: (2017)

NumPy essentials: boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy
por: Chin, Leo (Liang-Huan), et al.
Publicado: (2016)

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
por: Virtanen, Pauli, et al.
Publicado: (2020)

Hands-on data analysis with NumPy and Pandas: implement Python packages from data manipulation to processing
por: Miller, Curtis
Publicado: (2016)

Matplotlib for Python developers: effective techniques for data visualization with Python
por: Yim, Aldrin Kay Yuen, et al.
Publicado: (2018)

Python data analytics: data analysis and science using Pandas, Matplotlib and the Python programming language
por: Nelli, Fabio
Publicado: (2015)

NumPy: beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library
por: Idris, Ivan
Publicado: (2015)

Mastering Matplotlib 2.x: effective data visualization techniques with Python
por: Keller, Benjamin Walter
Publicado: (2018)

matplotlib plotting cookbook
por: Devert, Alexandre
Publicado: (2014)

Mastering matplotlib: a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
por: McGreggor, Duncan M
Publicado: (2015)

Matplotlib 3.0 cookbook: over 150 recipes to create highly detailed interactive visualizations using Python
por: Poladi, Srinivasa Rao
Publicado: (2018)

Array programming with NumPy
por: Harris, Charles R., et al.
Publicado: (2020)

CherryPy essentials: Rapid python web application development
por: Hellegouarch, Sylvain
Publicado: (2007)

PyBus -- A Python Software Bus
por: Lavrijsen, W
Publicado: (2005)

Matplotlib 2.x by example: multi-dimensional charts, graphs, and plots
por: Yu, Allen Chi Shing, et al.
Publicado: (2017)

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

Foundations of PyGTK development: GUI creation with Python
por: Ashley, W David, et al.
Publicado: (2019)

Python, PyGame, and Raspberry Pi game development
por: Kelly, Sloan
Publicado: (2019)

Python, PyGame and Raspberry Pi game development
por: Kelly, Sloan
Publicado: (2016)

Instant SymPy starter: learn to use SymPy's symbolic engine to simplify Python calculations
por: Lamy, Ronan
Publicado: (2013)

Python scripting for computational science
por: Langtangen, Hans Petter
Publicado: (2009)

A New PyROOT: Modern, Interoperable and More Pythonic
por: Galli, Massimiliano, et al.
Publicado: (2020)

Numerical Python: a practical techniques approach for industry
por: Johansson, Robert
Publicado: (2015)

Scientific computing with Python 3: an example-rich, comprehensive guide for all of your Python computational needs
por: Führer, Claus, et al.
Publicado: (2016)

Classic computer science problems in Python
por: Kopec, David
Publicado: (2019)

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

ArcPy and ArcGIS-geospatial analysis with Python: use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS
por: Toms, Silas
Publicado: (2015)

Python for data science
por: Massaron, Luca, et al.
Publicado: (2015)

Explorations in computing : an introduction to computer science and Python programming
por: Conery, John S
Publicado: (2015)

Numerical methods in engineering with Python
por: Kiusalaas, Jaan
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_qjru61vnrhtpvdalgp53e6jkh8