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transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask;
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common Python libraries as they experience firsthand the challenges of dealing with data at scale. They'll discover how Python allows them to;
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multiple processors and machines with parallel programming Who This Book Is For The book is aimed at Python developers who want to improve;
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Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;
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decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with;
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guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python;
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Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python;
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reconstruction Perform complex analysis with protemics data Use Python to interact with Galaxy servers Use High-performance computing techniques with;
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Do you want to know how Data science works? Learning data science with Python can be intimidating at times due to the;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;
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Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features;
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Manipulate and analyze network data with the power of Python and NetworkX Key Features Understand the terminology and basic concepts;
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foundation with the best data science tools available in Python Add value to yourself, your organization, and society by extracting actionable;
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Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity;
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. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;
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approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the;
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This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;
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you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with;
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interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy;
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This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science;
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through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;
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This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science;
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and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business;
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