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Understand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics;
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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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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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Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental;
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Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include;
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Explore the world of data science through Python and learn how to make sense of data About This Book * Master data science methods;
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Learn to effectively manage data and execute data science projects from start to finish using Python Key Features Understand and;
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Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data;
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Building efficient Python applications at minimal cost by adopting serverless architectures Key Features Design and set up a data flow;
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in production A step-by-step guide on implementing and deploying interactive Python-based web applications on graph data model Who This Book;
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to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how;
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Learn to process massive real-time data streams using Storm and Python-no Java required! About This Book * Learn to use Apache Storm;
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Implement classic and functional data structures and algorithms using Python About This Book * A step by step guide, which will;
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Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;
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Programming - Second Edition by Fabrizio Romano Python Data Structures and Algorithms by Benjamin Baka Python 3 Object-Oriented Programming by Dusty;
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. What You Will Learn * Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux * Get data ready;
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Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business;
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Book Is For This book is for Python developers who have developed Python programs for data processing and now want to learn how to write;
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experienced Python developers who want to learn about geospatial concepts, obtain and work with geospatial data, solve spatial problems, and build;
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Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;
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Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you;
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know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science;
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Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book * Master;
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-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to;
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