Jupyter cookbook: over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

✍ Scribed by Toomey, Dan

Publisher: Packt Publishing
Year: 2018
Tongue: English
Leaves: 238
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Jupyter 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.

📜 SIMILAR VOLUMES

Jupyter Cookbook: Over 75 recipes to per

📁 Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

✍ Dan Toomey 📂 Library 📅 2018 🏛 Packt Publishing 🌐 English

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassleAbout This Book<ul><li>Create and share interactive documents with live code, text and visualizations</li><li>Integrate popular programming languages such as Python, R

IPython Interactive Computing and Visual

📁 IPython Interactive Computing and Visualization Cookbook: Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python

✍ Cyrille Rossant 📂 Library 📅 2014 🏛 Packt Publishing 🌐 English

IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an ideal gateway to data analysis and numerical computing in Python. IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-pe

IPython Interactive Computing and Visual

📁 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

✍ Cyrille Rossant 📂 Library 📅 2018 🏛 Packt Publishing Limited 🌐 English

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling A comprehensiv

Learning Jupyter 5 explore interactive c

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

✍ Toomey, Dan 📂 Library 📅 2018 🏛 Packt Publishing 🌐 English

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

NumPy Cookbook, 2nd Edition: Over 90 fas

📁 NumPy Cookbook, 2nd Edition: Over 90 fascinating recipes to learn and perform mathematical, scientific, and engineering Python computations with NumPy

✍ Ivan Idris 📂 Library 📅 2015 🏛 Packt Publishing 🌐 English

NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time. This book will give you a solid foundation in NumPy arrays and univ

Learning IPython for Interactive Computi

📁 Learning IPython for Interactive Computing and Data Visualization: Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization

✍ Cyrille Rossant 📂 Library 📅 2013 🏛 Packt Publishing 🌐 English

You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once you've learnt it, you won't be able to live without