Static Jupyter notebooks can be shared on and nbviewer.Another way to share Jupyter notebooks is a great Python package called Voila.Voila turns Jupyter notebooks into deployable web apps. Jupyter notebooks can produce text output, plots, and animations. The packages I used to run the code in the book are listed in requirements.txt (Note that some of these exact version numbers may not be available on your platform: you may have to tweak them for your own use).Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try. Jupyter notebooks are a great way to write and run Python code. 2.2 Jupyter on your computer Jupyter runs codes for many languages, while Python is a requirement. The code in the book was tested with Python 3.5, though most (but not all) will also work correctly with Python 2.7 and other older Python versions. The classic Jupyter Notebook only consists of a file browser and an editor view and JupyterLab contains more features and provides useful widgets. See Index.ipynb for an index of the notebooks available to accompany the text. The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.įamiliarity with Python as a language is assumed if you need a quick introduction to the language itself, see the free companion project,Ī Whirlwind Tour of Python: it's a fast-paced introduction to the Python language aimed at researchers and scientists.
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. Launch a live notebook server with these notebooks using binder:īuy the printed book through O'Reilly Media Launch executable versions of these notebooks using Google Colab:
Below is a quick refresher on installing Jupyter Notebook and using Python commands to handle data sets within the app. Run the code using the Jupyter notebooks available in this repository's notebooks directory. Jupyter Notebook is a helpful open-source web app used for all types of data transformation, modeling, and visualization. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.
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