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Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.
In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing ... | | | | Scientific Computing with Python 3
Key Features
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Your ultimate resource for getting up and running with Python numerical computations
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Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
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A hands-on guide to implementing mathematics with Python, with complete...
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| | Python Data Analysis
Key Features
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Find, manipulate, and analyze your data using the Python 3.5 libraries
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Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
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An easy-to-follow guide with realistic examples that are frequently used in real-world data
... | | Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,... |
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Beginning Python Visualization: Crafting Visual Transformation Scripts
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of... | | Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,... | | Learning IPython for Interactive Computing and Data Visualization
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
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A practical step-by-step tutorial which will help you to replace the...
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