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For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science;
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techniques, and engineering principles. Master these core skills, and you'll be ready to use Python for AI, data-centric programming, deep learning;
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developments. By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to;
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produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for;
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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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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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2016. Cambridge IGCSE (R) and O Level Computer Science Programming Book for Python accompanies the Cambridge IGCSE and O Level Computer;
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Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches;
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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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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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for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical;
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software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical;
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scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;
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Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.;
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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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examples from snippets to case studies IPython + code in Jupyter (R) Notebooks Library-focused: Uses Python Standard Library and data science;
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for your data science project * Manipulate, fix, and explore data in order to solve data science problems * Set up an experimental pipeline;
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. Introducing Data Science teaches readers how to accomplish the fundamental tasks that occupy data scientists. They'll use the Python language and;
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This textbook is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures;
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data science pipeline for app development. You'll review Python libraries which come in very handy for automating and speeding up the day-to;
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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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Learn the art of computer programming with the most complete crash course for data science;
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Learn the art of computer programming with the most complete crash course for data science;
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to write Python code to obtain, transform, and analyse data, practicing state-of-the-art data processing techniques for use cases in business;
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The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to;
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