Showing results for "Introduction to computer science using Python Charles Dierbach English"

Classroom-tested by generations of students, this new edition of the popular intro to programming book is for anyone who wants to understand computer science.Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python: a language that's used across industries and platforms. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use...

Harness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization.You’ll start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating th...

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved.Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some pract...

Learn data science by doing data science!Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-...

This book is an innovative resource designed to bridge the gap between traditional psychological research methods and contemporary data science techniques. This book provides a comprehensive introduction to using Python for analyzing psychological data, enabling researchers, educators, and students to harness the analytical power of data science within their work. The volume is structured into four parts, encompassing programming skills, data preparation, advanced data processing, and the ...

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.Key FeaturesTake your first steps in the world of data science by understanding the tools and techniques of data analysisTrain efficient Machine Learning models in Python using the supervised and unsupervised learning methodsLearn how to use Apache Spark for processing Big D...

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementationBuild deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Des...

This book provides a structured introduction to data science, explaining its foundational concepts, processes, and practical applications across industries. It examines the definition of data science, its advantages over traditional business intelligence, and the role of machine learning, statistics, and programming in modern analytics. The content outlines the complete data science lifecycle, including concept study, data gathering and preparation, exploratory data analysis, model plannin...

In this accessible and engaging book, you'll traverse the fundamentals of Python programming, seamlessly transitioning into the realm of data science. From setting up your Python environment to mastering essential libraries like NumPy, Pandas, and Matplotlib, each chapter builds upon the last, providing a scaffolded approach to learning.Explore the art of data wrangling with Pandas, gaining proficiency in cleaning, preprocessing, and merging datasets. Demystify the complexities of ...

Python Programming by Knowledge Flow is a comprehensive eBook designed to provide beginners and aspiring developers with a solid foundation in Python programming. Covering essential topics such as data types, control structures, functions, object-oriented programming, and file handling, this book simplifies complex concepts with clear explanations and practical examples. It also delves into advanced topics like modules, exceptions, and data analysis, making it a versatile resource for both...

Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language f...

Python Data Science: A Simple and Effective Guide to Python Data ScienceWritten by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.This book is a go-to for every ...