Learning IPython for Interactive Computing and Data Visualization

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Book Description 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.

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. 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.

Free access for Packt account holders Preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Downloading the color images of this book Errata Piracy Questions 1.

Learning IPython for Interactive Computing and Data Visualization [Video]

Interactive Data Analysis with pandas Exploring a dataset in the Notebook Provenance of the data Downloading and loading a dataset Making plots with matplotlib Descriptive statistics with pandas and seaborn Manipulating data Selecting data Selecting columns Selecting rows Filtering with boolean indexing Computing with numbers Working with text Working with dates and times Handling missing data Complex operations Group-by Joins Summary 3. How an ndarray is stored in memory Why operations on ndarrays are fast Creating and loading arrays Creating arrays Loading arrays from files Basic array manipulations Computing with NumPy arrays Selection and indexing Boolean operations on arrays Mathematical operations on arrays A density map with NumPy Other topics Summary 4.

High-Performance and Parallel Computing. Deep Learning with Keras.

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Learning Predictive Analytics with Python. Emotional Intelligence for IT Professionals. View our Cookie Policy. We understand your time is important. Uniquely amongst the major publishers, we seek to develop and publish the broadest range of learning and information products on each technology. Every Packt product delivers a specific learning pathway, broadly defined by the Series type. This structured approach enables you to select the pathway which best suits your knowledge level, learning style and task objectives.

Learning IPython for Interactive Computing and Data Visualization

As a new user, these step-by-step tutorial guides will give you all the practical skills necessary to become competent and efficient. Friendly, informal tutorials that provide a practical introduction using examples, activities, and challenges. Fast paced, concentrated introductions showing the quickest way to put the tool to work in the real world. A collection of practical self-contained recipes that all users of the technology will find useful for building more powerful and reliable systems. Guides you through the most common types of project you'll encounter, giving you end-to-end guidance on how to build your specific solution quickly and reliably.

Take your skills to the next level with advanced tutorials that will give you confidence to master the tool's most powerful features.

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Starting Accessible to readers adopting the topic, these titles get you into the tool or technology so that you can become an effective user. Progressing Building on core skills you already have, these titles share solutions and expertise so you become a highly productive power user. With pages of data analysis and numerical computing tutorials at your disposal this completely free title offers you the chance to discover how to make the most of IPython right now.

Discover why Python is so loved in the data world and revolutionize your work today!

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