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full spectrum of the Python data science ecosystem to increase productivity. You will: * Write fast and efficient code for data science;
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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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provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data;
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Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive;
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and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality;
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This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data;
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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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science using Python 3.5 * Save time (and effort) with all the essential tools explained * Create effective data science projects and avoid;
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The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little;
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thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data;
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with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the;
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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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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential;
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on efficient application development with PyCharm Explore advanced features in PyCharm such as code automation, version control, and GUI;
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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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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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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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to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and;
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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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. 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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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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implement the data science project life cycle Leverage the power of R and Python to design and develop efficient data models find unique insights;
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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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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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Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience;
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