Cargando…

Practical Data Analysis Using Jupyter Notebook

Detalles Bibliográficos
Autor principal:	Wintjen, Marc
Lenguaje:	eng
Publicado:	Packt Publishing 2020
Materias:	XX
Acceso en línea:	http://cds.cern.ch/record/2734192

Ejemplares similares

IPython/Jupyter Notebooks
por: AVILÉS, Alejandro
Publicado: (2015)

Biotechnology Data Analysis Training with Jupyter Notebooks
por: Liebal, Ulf W., et al.
Publicado: (2023)

Integration of TMVA Output into Jupyter notebooks
por: Saliji, Albulena
Publicado: (2016)

Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
por: Silaparasetty, Nikita
Publicado: (2020)

Prototyping Controlled Mathematical Languages in Jupyter Notebooks
por: Schaefer, Jan Frederik, et al.
Publicado: (2020)

Understanding and improving the quality and reproducibility of Jupyter notebooks
por: Pimentel, João Felipe, et al.
Publicado: (2021)

Integration of Jupyter Notebook Gallery with JupyterLab Interface of SWAN - Service for Web Based Analysis.
por: Nabil, Yasser
Publicado: (2022)

Appyters: Turning Jupyter Notebooks into data-driven web apps
por: Clarke, Daniel J.B., et al.
Publicado: (2021)

Tools for Quantitative Analysis of Calcium Signaling Data Using Jupyter-Lab Notebooks
por: Rugis, John, et al.
Publicado: (2023)

Using Jupyter Notebooks for re-training machine learning models
por: Smajić, Aljoša, et al.
Publicado: (2022)

Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
por: Mendez, Kevin M., et al.
Publicado: (2019)

Docker for data science: building scalable and extensible data infrastructure around the Jupyter notebook server
por: Cook, Joshua
Publicado: (2017)

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
por: Rule, Adam, et al.
Publicado: (2019)

ScienceBox 2.0: From EOS Storage to Jupyter notebooks in Kubernetes
por: Bocchi, Enrico
Publicado: (2022)

Gwaihir: Jupyter Notebook graphical user interface for Bragg coherent diffraction imaging
por: Simonne, David, et al.
Publicado: (2022)

Learning IPython for interactive computing and data visualization: get started with Python for data analysis and numerical computing in the Jupyter notebook
por: Rossant, Cyrille
Publicado: (2015)

Cloud-enabled Biodepot workflow builder integrates image processing using Fiji with reproducible data analysis using Jupyter notebooks
por: Hung, Ling-Hong, et al.
Publicado: (2022)

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive
por: Bernstein, Matthew N., et al.
Publicado: (2020)

Enhancing Learning About Epidemiological Data Analysis Using R for Graduate Students in Medical Fields With Jupyter Notebook: Classroom Action Research
por: Kumwichar, Ponlagrit
Publicado: (2023)

JupyterLab Quick Start Guide
por: Richman, Lindsay
Publicado: (2019)

Jupyter for data science: exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
por: Toomey, Dan
Publicado: (2017)

NanoDJ: a Dockerized Jupyter notebook for interactive Oxford Nanopore MinION sequence manipulation and genome assembly
por: Rodríguez-Pérez, Héctor, et al.
Publicado: (2019)

IPython interactive computing and visualization cookbook: over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook
por: Rossant, Cyrille
Publicado: (2018)

Data visualization for business decisions: a laboratory notebook
por: Fortino, Andres
Publicado: (2020)

xml2jupyter: Mapping parameters between XML and Jupyter widgets
por: Heiland, Randy, et al.
Publicado: (2019)

Jupyter live demo
por: Forde, Jessica
Publicado: (2018)

SWAN, Rucio, and Jupyter
por: Lassnig, Mario
Publicado: (2021)

Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks
por: Mendez, Kevin M., et al.
Publicado: (2020)

Evolution of the HEPS Jupyter-based remote data analysis System
por: Liu, Zhibin
Publicado: (2021)

Nonlinear science: an interactive Mathematica notebook
por: Campbell, David K, et al.
Publicado: (2012)

The golden notebook /
por: Lessing, Doris May, 1919-
Publicado: (1973)

Learning Jupyter 5: explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab
por: Toomey, Dan
Publicado: (2018)

Data Science Environments: JupyterLab sharing and collaborative editing
por: Sieprawski, Marcin
Publicado: (2023)

A Jupyter-based Interface Integrated with ROOT for ATLAS Open Data Analysis
por: Wang, Yixin
Publicado: (2019)

A Jupyter-based Interface Integrated with ROOT for ATLAS Open Data Analysis
por: Wang, Yixin
Publicado: (2019)

Selected cryogenic data notebook
por: Jensen, Jack E, et al.
Publicado: (1966)

Everything you need to ace computer science and coding in one big fat notebook: the complete middle school study guide (big fat notebooks)
por: Publishing, Workman, et al.
Publicado: (2020)

Notebooks
por: Skinner, B. F. (Burrhus Frederic), 1904-1990
Publicado: (1980)

JupyterLab+ScienceMesh: Collaborative Data Science in sync-and-share environment.
por: Sieprawski, Marcin
Publicado: (2022)

Ramanujan’s notebooks
por: Berndt, Bruce C
Publicado: (1985)

Cannot write session to /tmp/vufind_sessions/sess_rg77re126uu6dqnrod5sg46aq6