Cargando…

Learning Jupyter 5 : explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab /

Mostrar otras versiones (1)

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter Key Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different Python packages...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Toomey, Dan (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham, UK : Packt Publishing, 2018.
Edición:	Second edition.
Temas:	Science > Data processing. Data mining. Information visualization. Python (Computer program language) Java (Computer program language) Data Mining Sciences > Informatique. Exploration de données (Informatique) Visualisation de l'information. Python (Langage de programmation) Java (Langage de programmation) REFERENCE > Questions & Answers. Data mining Information visualization Science > Data processing
Acceso en línea:	Texto completo Texto completo

Ejemplares similares

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

Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data /
por: Galea, Alex
Publicado: (2018)

Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
por: Toomey, Dan (Computer programmer)
Publicado: (2018)

Data wrangling with Python : creating actionable data from raw sources /
por: Sarkar, Tirthajyoti, et al.
Publicado: (2019)

Data wrangling with Python : creating actionable data from raw sources /
por: Sarkar, Tirthajyoti, et al.
Publicado: (2019)

Jupyter cookbook : over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more /
por: Toomey, Dan
Publicado: (2018)

Jupyter Notebook for data science /
Publicado: (2018)

Data science with Python and Dask /
por: Daniel, Jesse C.
Publicado: (2019)

Instant Weka how-to : implement cutting-edge data mining aspects in Weka to your applications /
por: Kaluža, Boštjan
Publicado: (2013)

Practical data analysis with JMP /
por: Carver, Robert
Publicado: (2019)

Practical data analysis using Jupyter Notebook : learn how to speak the language of data by extracting useful and actionable insights using Python /
por: Wintjen, Marc
Publicado: (2020)

Extending Power BI with Python and R /
por: Zavarella, Luca, et al.
Publicado: (2021)

Data visualization with Python and JavaScript : scrape, clean, explore & transform your data /
por: Dale, Kyran
Publicado: (2016)

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)

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)

Intro to Pandas : Pragmatic AI Labs course.
Publicado: (2022)

Java data analysis : data mining, big data analysis, NoSQL, and data visualization /
por: Hubbard, J. R. (John Rast), 1943-
Publicado: (2017)

Java data analysis : data mining, big data analysis, NoSQL, and data visualization /
por: Hubbard, J. R. (John Rast), 1943-
Publicado: (2017)

Python data science essentials : become an efficient data science practitioner by understanding Python's key concepts /
por: Boschetti Alberto, et al.
Publicado: (2016)

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

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

Data visualization with JavaScript /
por: Thomas, Stephen A., 1962-
Publicado: (2015)

Network science with Python and NetworkX quick start guide : explore and visualize network data effectively /
por: Platt, Edward L.
Publicado: (2019)

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

Datenanalyse mit Python /
por: McKinney, Wes
Publicado: (2015)

Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python /
por: Petrou, Theodore
Publicado: (2017)

Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python /
por: Petrou, Theodore
Publicado: (2017)

Practical data science with Python 3 : synthesizing actionable insights from data /
por: Varga, Ervin (Professional software engineer)
Publicado: (2019)

Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn /
por: Klosterman, Stephen
Publicado: (2019)

Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn /
por: Klosterman, Stephen
Publicado: (2019)

Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn /
por: Klosterman, Stephen
Publicado: (2019)

Learning Data Mining with Python /
por: Layton, Robert
Publicado: (2017)

Practical Data Wrangling.
por: Visochek, Allan
Publicado: (2017)

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

Mastering data mining with Python : find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques /
por: Squire, Megan
Publicado: (2016)

Mastering data mining with Python : find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques /
por: Squire, Megan
Publicado: (2016)

Practical data science cookbook : practical recipes on data pre-processing, analysis and visualization using R and Python /
por: Tattar, Prabhanjan, 1979-, et al.
Publicado: (2017)

Hands-on web scraping with Python : perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others /
por: Chapagain, Anish
Publicado: (2019)

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

Python for secret agents : gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents /
por: Lott, Steven F.
Publicado: (2015)