Cyrille Rossant's Books

IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

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IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

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899

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Packt Publishing Ltd

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ISBN 10

178328482X

ISBN 13

9781783284825

Learning IPython for Interactive Computing and Data Visualization

By: Cyrille Rossant

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Learning IPython for Interactive Computing and Data Visualization

By: Cyrille Rossant

Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book Learn the basics of Python in the Jupyter Notebook Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know. What You Will Learn Install Anaconda and code in Python in the Jupyter Notebook Load and explore datasets interactively Perform complex data manipulations effectively with pandas Create engaging data visualizations with matplotlib and seaborn Simulate mathematical models with NumPy Visualize and process images interactively in the Jupyter Notebook with scikit-image Accelerate your code with Numba, Cython, and IPython.parallel Extend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data. Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.

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201

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Packt Publishing Ltd

Published Date

ISBN 10

1783986999

ISBN 13

9781783986996

IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

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IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

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Solve jigsaw puzzle

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899

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

178328482X

ISBN 13

9781783284825

Learning IPython for Interactive Computing and Data Visualization

By: Cyrille Rossant

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Learning IPython for Interactive Computing and Data Visualization

By: Cyrille Rossant

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201

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Packt Publishing Ltd

Published Date

ISBN 10

1783986999

ISBN 13

9781783986996

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, 2nd Edition

By: Cyrille Rossant

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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, 2nd Edition

By: Cyrille Rossant

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 comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book Description Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What you will learn Master all features of the Jupyter Notebook Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Simulate deterministic and stochastic dynamical systems in Python Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory Who this book is for This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

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548

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Packt Publishing Ltd

Published Date

ISBN 10

1785881930

ISBN 13

9781785881930

Learning IPython for Interactive Computing and Data Visualization - Second Edition

By: Cyrille Rossant

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Learning IPython for Interactive Computing and Data Visualization - Second Edition

By: Cyrille Rossant

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more. Overview A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface Use the IPython notebook to modernize the way you interact with Python Perform highly efficient computations with NumPy and Pandas Optimize your code using parallel computing and Cython In Detail 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 it. "Learning IPython for Interactive Computing and Data Visualization" is a practical, hands-on, example-driven tutorial to considerably improve your productivity during interactive Python sessions, and shows you how to effectively use IPython for interactive computing and data analysis. This book covers all aspects of IPython, from the highly powerful interactive Python console to the numerical and visualization features that are commonly associated with IPython. You will learn how IPython lets you perform efficient vectorized computations, through examples covering numerical simulations with NumPy, data analysis with Pandas, and visualization with Matplotlib. You will also discover how IPython can be conveniently used to optimize your code using parallel computing and dynamic compilation in C with Cython. "Learning IPython for Interactive Computing and Data Visualization" will allow you to optimize your productivity in interactive Python sessions. What you will learn from this book Debug your code from the IPython console Benchmark and profile your code from IPython Perform efficient vectorized computations with NumPy Analyze data tables with Pandas Create visualizations with Matplotlib Parallelize your code easily with IPython Customize IPython and create your own magic commands Accelerate your Python code using dynamic C compilation with Cython Approach A practical hands-on guide which focuses on interactive programming, numerical computing, and data analysis with IPython. Who this book is written for This book is for Python developers who use Python as a scripting language or for software development, and are interested in learning IPython for increasing their productivity during interactive sessions in the console. Knowledge of Python is required, whereas no knowledge of IPython is necessary.

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1783986980

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9781783986989

Book's by Cyrille Rossant

IPython Interactive Computing and Visualization Cookbook

IPython Interactive Computing and Visualization Cookbook

Learning IPython for Interactive Computing and Data Visualization

Learning IPython for Interactive Computing and Data Visualization

IPython Interactive Computing and Visualization Cookbook

IPython Interactive Computing and Visualization Cookbook

Learning IPython for Interactive Computing and Data Visualization

Learning IPython for Interactive Computing and Data Visualization

IPython Interactive Computing and Visualization Cookbook

IPython Interactive Computing and Visualization Cookbook

Learning IPython for Interactive Computing and Data Visualization - Second Edition

Learning IPython for Interactive Computing and Data Visualization - Second Edition

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