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An Introduction to Statistics with Python

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis;

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A Python Data Analyst s Toolkit

. You'll start with an introduction to Python - the syntax, functions, conditional statements, data types, and different types of containers;

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A Python Data Analyst's Toolkit

. You'll start with an introduction to Python the syntax, functions, conditional statements, data types, and different types of containers;

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An Introduction to Statistics with Python

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common;

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The Statistics and Calculus with Python Workshop

to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn;

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Big Data Analysis with Python

measurements, and transform datasets into features for other systems. The book begins with an introduction to data manipulation in Python using pandas;

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Python for Marketing Research and Analytics

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;

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Python for Marketing Research and Analytics

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;

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Python Programming for Biology

guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core;

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Python Programming For Biology

guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core;

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Linear Models with Python

This version replaces R with Python to make it accessible to a greater number of users outside of statistics including those from Machine;

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Data Science from Scratch: First Principles with Python

with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to;

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Think Stats

introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work;

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Python for MATLAB Development

MATLAB can run Python code!Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array;

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Think Stats

introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working;

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An Introduction to Python

This manual provides an introduction to Python, an easy to learn object-oriented programming language. Python combines power with clear;

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Python for Beginners: An Introduction to Learn Python Programming with Tutorials and Hands-On Examples

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QuickStart Guide to Db2 Development with Python

successfully be used with each other. By reading this book, you will receive: An introduction to Db2 An overview of SQL and how it is used An;

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Python for Probability, Statistics, and Machine Learning

worked-out examples along with Programming Tips that encourage the reader to write quality Python code. The entire text, including all the;

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Python Machine Learning

skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science;

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Python for Data Science For Dummies

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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Introduction to Computing and Programming in Python, Global Edition

For courses in Computer Programming with Python. Social Computing and Programming with Python Introduction to Computing and Programming;

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Python for Probability, Statistics, and Machine Learning

is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python;

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Python for Probability Statistics and Machine Learning

is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;

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