Download Learning IPython for Interactive Computing and Data by Cyrille Rossant PDF

By Cyrille Rossant

ISBN-10: 1782169938

ISBN-13: 9781782169932

Learn IPython for interactive Python programming, high-performance numerical computing, and information visualization.

Overview

• a pragmatic step by step instructional on the way to assist you to interchange the Python console with the strong IPython command-line interface;
• Use the IPython computing device to modernize how you have interaction with Python;
• practice hugely effective computations with NumPy and Pandas;
• Optimize your code utilizing parallel computing and Cython.

In Detail

You already use Python as a scripting language, yet were you aware it's also more and more used for medical computing and information research? Interactive programming is vital in such exploratory initiatives and IPython is the appropriate device for that. as soon as you’ve learnt it, you won't be capable to dwell with no it.

Learning IPython for Interactive Computing and knowledge Visualization is a realistic, hands-on, example-driven educational to significantly increase your productiveness in the course of interactive Python classes, and indicates you the way to successfully use IPython for interactive computing and knowledge analysis.

This ebook covers all features of IPython, from the hugely robust interactive Python console to the numerical and visualization positive aspects which are normally linked to IPython.

You will learn the way IPython enables you to practice effective vectorized computations, via examples masking numerical simulations with NumPy, information research with Pandas, and visualization with Matplotlib. additionally, you will detect how IPython could be comfortably used to optimize your code utilizing parallel computing and dynamic compilation in C with Cython.

Learning IPython for Interactive Computing and information Visualization will let you optimize your productiveness in interactive Python sessions.

What you'll research from this book

• Debug your code from the IPython console;
• Benchmark and profile your code from IPython;
• practice effective vectorized computations with NumPy;
• learn information tables with Pandas;
• Create visualizations with Matplotlib;
• Parallelize your code simply with IPython;
• customise IPython and create your personal magic commands;
• speed up your Python code utilizing dynamic C compilation with Cython.

Approach

A useful hands-on consultant which makes a speciality of interactive programming, numerical computing, and information research with IPython.

Who this booklet is written for

This ebook is for Python builders who use Python as a scripting language or for software program improvement, and have an interest in studying IPython for expanding their productiveness in the course of interactive classes within the console.

Knowledge of Python is needed, while no wisdom of IPython is necessary.

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It has introduced the concepts of views, models, and templates. In the final section, we will write another view and make use of all the information that we have learned so far. This view will display a list of all the bookmarks that belong to a certain user. Creating the URL The URL of this view will have the form user/username, where username is the owner of the bookmarks that we want to see. This URL is different from the first URL that we added because it contains a dynamic portion. So we will have to employ the power of regular expressions in order to express this URL.

Our main page looks a little basic without CSS. Therefore, we will learn to use templates, which will make it easy to style our pages using stylesheets. Before doing this, we will learn about database models as well as how to store and manage our data. 0 application requires a database to store and manage its data. The database engine is a fundamental component of web development today. Web applications offer the user a UI to enter and manage his or her data, and use a database engine behind the scenes to manage this data.

One user can have many bookmarks, but each bookmark is associated with only one user. That is to say, each user can bookmark a particular link once. The second of these is the one-to-many relationship between a link and its bookmarks. One link can have many bookmarks associated with it if multiple users have bookmarked it, but each bookmark is associated with only one link. Now that we have two separate one-to-many relationships, it is possible to represent all of this in a database system. To do so, we create a third table—the bookmarks table—that connects the user table and the links table.

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