Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant
Learning IPython For Interactive Computing And Data Visualization - Second Edition, By Cyrille Rossant. Delighted reading! This is what we wish to claim to you that enjoy reading a lot. Just what concerning you that claim that reading are only responsibility? Don't bother, reviewing behavior needs to be begun from some certain factors. One of them is reading by obligation. As just what we wish to provide right here, the book qualified Learning IPython For Interactive Computing And Data Visualization - Second Edition, By Cyrille Rossant is not kind of required e-book. You can appreciate this publication Learning IPython For Interactive Computing And Data Visualization - Second Edition, By Cyrille Rossant to review.
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant
Free Ebook PDF Learning IPython for Interactive Computing and Data Visualization - Second Edition, 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.
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant- Amazon Sales Rank: #232477 in Books
- Published on: 2015-10
- Released on: 2015-10-21
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .46" w x 7.50" l, .78 pounds
- Binding: Paperback
- 200 pages
About the Author
Cyrille Rossant
Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale Superieure, Paris, where he studied mathematics and computer science. He has worked at Princeton University, University College London, and College de France. As part of his data science and software engineering projects, he gained experience in machine learning, high-performance computing, parallel computing, and big data visualization. He is one of the main developers of VisPy, a high-performance visualization package in Python. He is the author of the IPython Interactive Computing and Visualization Cookbook, Packt Publishing, an advanced-level guide to data science and numerical computing with Python, and the sequel of this book.
Where to Download Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant
Most helpful customer reviews
2 of 2 people found the following review helpful. Excellent starting point for learning iPython By Tim Crothers This is a really excellent book for getting started with iPython. The author's writing and flow are very easy to follow. Also clearly evident is that the writer really understands the subject. Coverage of topics is very broad and gives a great overview of the capabilities and options in iPython. I'd love to see more in-depth coverage of several of the topics but given the book clearly states it is intended for beginners on the topic it seems unfair to ding the author for that. Despite the fact that I've used iPython for a few years I picked up several tidbits I was unaware of and was easily able to add them to my repetoire. All in all an excellent book.
3 of 3 people found the following review helpful. Amazingly Powerful! By Perry Nally Learning IPython for Interactive Computing and Data Visualization, 2nd Edition shows amazingly powerful techniques to run high-performance data processing and visualize the results in a standardized manner. It's impressive how much detailed information is packed into this book; which even includes a refresher on the python language and setting up the computing environment. It even dives into advanced topics such as modifying the Jupyter kernel and adding your own magic commands to IPython. I highly recommend this book if you've new to IPython or need a quick setup to understand high-performance and parallel computing. Use of the Notebook has opened a whole new avenue of documentation resources for me. Well done!
2 of 2 people found the following review helpful. Great reference to get started with iPython (jupyter) By Leif C. Ulstrup This is a great introduction to using the latest version of iPython (aka jupyter notebook). It is well written with a wide range of examples. The examples are at just the right level to get you started and nudge you in the right direction to explore more. I intend to purchase the author's iPython Cookbook with more in depth examples based on the quality of this book.
See all 6 customer reviews... Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille RossantLearning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant PDF
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant iBooks
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant ePub
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant rtf
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant AZW
Learning IPython for Interactive Computing and Data Visualization - Second Edition, by Cyrille Rossant Kindle
Tidak ada komentar:
Posting Komentar