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Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
상세정보
- 자료유형
- 전자책(국외)
- 미국국회도서관 청구기호
- QA76.9.D3-.T666 2018eb
- 자관 청구기호
- 기본표목-개인명
- 표제와 책임표시사항
- Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
- 발행, 배포, 간사 사항
- 형태사항
- 1 online resource (229 pages)
- 일반주기
- How it works ...
- 내용주기
- 완전내용Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Installation and Setting up the Environment; Introduction; Installing Jupyter on Windows; Getting ready; How to do it ... ; Installing Jupyter directly; Installing Jupyter through Anaconda; Installing Jupyter on the Mac; Getting ready; How to do it ... ; Installing Jupyter on the Mac via Anaconda; Installing Jupyter on the the Mac via the command line; Installing Jupyter on Linux; How to do it ... ; Installing Jupyter on a server; How to do it ... ; Example Notebook with a user data collision.
- 내용주기
- 완전내용Chapter 2: Adding an EngineIntroduction; Adding the Python 3 engine; How to do it ... ; Installing the Python 3 engine; Running a Python 3 script; Adding the R engine; How to do it ... ; Installing the R engine using Anaconda Navigator; Installing the R engine via command line; Running an R Script; Adding the Julia engine; How to do it ... ; Installing the Julia engine; Running a Julia script; Adding the JavaScript engine; How to do it ... ; Installing the Node. JS engine; Running a Node. JS script; Adding the Scala engine; How to do it ... ; Installing the Scala engine; Running a Scala script.
- 내용주기
- 완전내용Adding the Spark engineHow to do it ... ; Installing the Spark engine; Running a Spark script; Chapter 3: Accessing and Retrieving Data; Introduction; Reading CSV files; Getting ready; How to do it ... ; How it works ... ; Reading JSON files; Getting ready; How to do it ... ; How it works ... ; Accessing a database; Getting ready; How to do it ... ; How it works ... ; Reading flat files; Getting ready; How to do it ... ; How it works ... ; Reading text files; Getting ready; How to do it ... ; How it works ... ; Chapter 4: Visualizing Your Analytics; Introduction; Generating a line graph using Python.
- 내용주기
- 완전내용How to do it ... How it works ... ; Generating a histogram using Python; How to do it ... ; How it works ... ; Generating a density map using Python; How to do it ... ; How it works ... ; Plotting 3D data using Python; How to do it ... ; How it works ... ; Present a user-interactive graphic using Python; How to do it ... ; How it works ... ; Visualizing with R; How to do it ... ; How it works ... ; Generate a regression line of data using R; How to do it ... ; How it works ... ; Generate an R lowess line graph; How to do it ... ; How it works ... ; Producing a Scatter plot matrix using R; How to do it ... ; How it works ...
- 내용주기
- 완전내용Producing a bar chart using RHow to do it ... ; How it works ... ; Producing a word cloud using R; How to do it ... ; How it works ... ; Visualizing with Julia; Getting ready; How to do it ... ; Drawing a Julia scatter diagram of Iris data using Gadfly; How to do it ... ; Drawing a Julia histogram using Gadfly; How to do it ... ; How it works ... ; Drawing a Julia line graph using the Winston package; How to do it ... ; How it works ... ; Chapter 5: Working with Widgets; Introduction; What are widgets?; Getting ready; How to do it ... ; How it works ... ; Using ipyleaflet widgets; Getting ready; How to do it ...
- 요약 등 주기
- 요약Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share applications related to data analysis and visualization.
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 기타형태저록
- Print version Toomey Dan Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python R Scala Spark JavaScript and more
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MARC
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■24510▼aJupyter Cookbook▼bOver 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
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■5050 ▼aCover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Installation and Setting up the Environment; Introduction; Installing Jupyter on Windows; Getting ready; How to do it ... ; Installing Jupyter directly; Installing Jupyter through Anaconda; Installing Jupyter on the Mac; Getting ready; How to do it ... ; Installing Jupyter on the Mac via Anaconda; Installing Jupyter on the the Mac via the command line; Installing Jupyter on Linux; How to do it ... ; Installing Jupyter on a server; How to do it ... ; Example Notebook with a user data collision.
■5058 ▼aChapter 2: Adding an EngineIntroduction; Adding the Python 3 engine; How to do it ... ; Installing the Python 3 engine; Running a Python 3 script; Adding the R engine; How to do it ... ; Installing the R engine using Anaconda Navigator; Installing the R engine via command line; Running an R Script; Adding the Julia engine; How to do it ... ; Installing the Julia engine; Running a Julia script; Adding the JavaScript engine; How to do it ... ; Installing the Node. JS engine; Running a Node. JS script; Adding the Scala engine; How to do it ... ; Installing the Scala engine; Running a Scala script.
■5058 ▼aAdding the Spark engineHow to do it ... ; Installing the Spark engine; Running a Spark script; Chapter 3: Accessing and Retrieving Data; Introduction; Reading CSV files; Getting ready; How to do it ... ; How it works ... ; Reading JSON files; Getting ready; How to do it ... ; How it works ... ; Accessing a database; Getting ready; How to do it ... ; How it works ... ; Reading flat files; Getting ready; How to do it ... ; How it works ... ; Reading text files; Getting ready; How to do it ... ; How it works ... ; Chapter 4: Visualizing Your Analytics; Introduction; Generating a line graph using Python.
■5058 ▼aHow to do it ... How it works ... ; Generating a histogram using Python; How to do it ... ; How it works ... ; Generating a density map using Python; How to do it ... ; How it works ... ; Plotting 3D data using Python; How to do it ... ; How it works ... ; Present a user-interactive graphic using Python; How to do it ... ; How it works ... ; Visualizing with R; How to do it ... ; How it works ... ; Generate a regression line of data using R; How to do it ... ; How it works ... ; Generate an R lowess line graph; How to do it ... ; How it works ... ; Producing a Scatter plot matrix using R; How to do it ... ; How it works ...
■5058 ▼aProducing a bar chart using RHow to do it ... ; How it works ... ; Producing a word cloud using R; How to do it ... ; How it works ... ; Visualizing with Julia; Getting ready; How to do it ... ; Drawing a Julia scatter diagram of Iris data using Gadfly; How to do it ... ; Drawing a Julia histogram using Gadfly; How to do it ... ; How it works ... ; Drawing a Julia line graph using the Winston package; How to do it ... ; How it works ... ; Chapter 5: Working with Widgets; Introduction; What are widgets?; Getting ready; How to do it ... ; How it works ... ; Using ipyleaflet widgets; Getting ready; How to do it ...
■520 ▼aJupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share applications related to data analysis and visualization.
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■77608▼iPrint version▼aToomey, Dan.▼tJupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.▼dBirmingham : Packt Publishing, 짤2018
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