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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 Analytics and Visualization
Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for... | | Python Recipes Handbook: A Problem-Solution Approach
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your... |
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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,... | | Python Data Analysis Cookbook
Key Features
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Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
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Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
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Authored by Ivan Idris, expert in python programming and proud
... | | Python High Performance Programming
If you have at least a basic knowledge of Python, this book will help you maximize the performance of your code and applications. Easy to follow tutorials will make you a hard act to follow in Python programming.
Overview
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Identify the bottlenecks in your applications and solve them using the best...
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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... | | NumPy Cookbook
We, NumPy users, live in exciting times. New NumPy-related developments seem to come
to our attention every week or maybe even daily. When this book was being written, NumPy
Foundation of Open Code for Usable Science was created. The Numba project—NumPy-aware,
dynamic Python compiler using LLVM—was announced. Also,... | | Python for Finance: Analyze Big Financial Data
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects... |
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