John M. Shea – författare

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.

This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.

Key Features:

Applies a modern, computational approach to working with data Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues Teaches the fundamentals of some of the most important tools in the Python data-science stack Provides a basic, but rigorous, introduction to Probability and its application to Statistics Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.

This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.

Key Features:

Applies a modern, computational approach to working with data Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues Teaches the fundamentals of some of the most important tools in the Python data-science stack Provides a basic, but rigorous, introduction to Probability and its application to Statistics Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.Key Features:Applies a modern, computational approach to working with dataUses real data sets to conduct statistical tests that address a diverse set of contemporary issuesTeaches the fundamentals of some of the most important tools in the Python data-science stackProvides a basic, but rigorous, introduction to Probability and its application to StatisticsOffers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.Key Features:Applies a modern, computational approach to working with dataUses real data sets to conduct statistical tests that address a diverse set of contemporary issuesTeaches the fundamentals of some of the most important tools in the Python data-science stackProvides a basic, but rigorous, introduction to Probability and its application to StatisticsOffers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Linear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of matrices and vectors to data fitting, transforming time-series data into the frequency domain, and dimensionality reduction. This book uses a computational-first approach: the reader will learn how to use Python and the associated data-science libraries to work with and visualize vectors and matrices and their operations, as well as to import data to apply these techniques. Readers learn the basics of performing vector and matrix operations by hand but are also shown how to use several different Python libraries for performing these operations.Key Features:Teaches the most important concepts and techniques for working with multi-dimensional data using vectors and matricesIntroduces readers to some of the most important Python libraries for working with data, including NumPy and PyTorchDemonstrate the application of linear algebra in real data and engineering applicationsIncludes many color visualizations to illustrate mathematical operations involving vectors and matricesProvides practice and feedback through a unique set of online, interactive tools on the accompanying website

Linear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of matrices and vectors to data fitting, transforming time-series data into the frequency domain, and dimensionality reduction. This book uses a computational-first approach: the reader will learn how to use Python and the associated data-science libraries to work with and visualize vectors and matrices and their operations, as well as to import data to apply these techniques. Readers learn the basics of performing vector and matrix operations by hand but are also shown how to use several different Python libraries for performing these operations.Key Features: Teaches the most important concepts and techniques for working with multi-dimensional data using vectors and matrices Introduces readers to some of the most important Python libraries for working with data, including NumPy and PyTorch Demonstrate the application of linear algebra in real data and engineering applications Includes many color visualizations to illustrate mathematical operations involving vectors and matrices Provides practice and feedback through a unique set of online, interactive tools on the accompanying website

Linear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of matrices and vectors to data fitting, transforming time-series data into the frequency domain, and dimensionality reduction. This book uses a computational-first approach: the reader will learn how to use Python and the associated data-science libraries to work with and visualize vectors and matrices and their operations, as well as to import data to apply these techniques. Readers learn the basics of performing vector and matrix operations by hand but are also shown how to use several different Python libraries for performing these operations.Key Features: Teaches the most important concepts and techniques for working with multi-dimensional data using vectors and matrices Introduces readers to some of the most important Python libraries for working with data, including NumPy and PyTorch Demonstrate the application of linear algebra in real data and engineering applications Includes many color visualizations to illustrate mathematical operations involving vectors and matrices Provides practice and feedback through a unique set of online, interactive tools on the accompanying website

Recycling is a great way to help take care of the planet. Many people recycle glass, paper, metal, and plastic instead of throwing it into the garbage. Inside this informative volume, readers will see up-close how recyclable garbage is transformed into new products. A fast-fact chart helps readers understand the importance of recycling.

The digestive system takes the food we put into our mouths and breaks it down into the most elemental parts. Our bodies use these nutrients to fuel life processes. The digestive system also eliminates waste products from our bodies. Readers will view this system through illustrative diagrams. They will also learn about nutrition and the importance of maintaining a healthy digestive system.

Your respiratory system is working with each breath in and out. But it’s more complex than just breathing. The information inside this book covers the structure and function of the respiratory system, as well as the importance of maintaining healthy lungs. The air that enters our lungs when we breathe in contains oxygen, which our bodies need to help turn food into energy. When we breathe out, carbon dioxide is removed from the body. Colorful photographs and in-depth diagrams display how this essential life process functions ceaselessly each day.

It''s not hard to think of gross attributes of the human body. Runny noses, bad breath, and stinky feet are just some of the yucky and unavoidable parts of being human. However, the science behind the gross ways in which the body functions is pretty cool. Scabs, blisters, and mucus are actually ways for our bodies to heal and stay healthy. Readers will love learning about the body through the gross, engaging, and informational facts presented in accessible language. A graphic organizer helps reinforce basic concepts in the book.

The word "virus" conjures up a scary image. Just as people don''t want to be infected by a virus that might make them sick, they don''t want their computers—and other electronic devices—infected by computer viruses. This must-read guide explains “electronic infections" and viruses, including Trojan horses and worms. Readers can arm themselves using the safety guidelines in the text to help combat and prevent the spread of these damaging computer programs.

Peacetime duties make the U.S. Coast Guard unique among the many branches of armed force units. This military branch has a broad mission that includes search-and-rescue operations, environmental safety patrols, and boat safety. This fascinating look at the Coast Guard reveals its history and includes some of the most riveting stories of our nation''s finest men and women in uniform.

DNA is perhaps the most remarkable scientific discovery of the twentieth century. Found in almost every human cell, DNA holds the instructions for life. Readers discover how these instructions are carried out and how they make us who we are. Readers also learn the implications of genetic engineering and what recent breakthroughs may mean for the future. Amazing photographs include images of cells, DNA, chromosomes, and more.

Virus: Just the word makes people squirm and want to wash their hands. Readers will learn what these microscopic pests are and examine various strains in magnified photographs. They''ll find out how viruses replicate and travel from place to place. They''ll understand that viruses don''t just infect people. Perhaps most importantly, readers will learn what they can do to protect themselves from viruses now and in the future.

Thomas Jefferson''s Declaration of Independence was the eloquent, concise, and persuasive piece around which the American colonies rallied during the American Revolution. Jefferson listed the many grievances the colonists had with the British crown and stated it was natural for the colonies to break away. Readers will examine this document and trace the origins of the ideas found within. They''ll learn what was happening in the colonies as the Second Continental Congress debated their next move in the war with England. This book provides a thoughtful look at perhaps the most celebrated document of our nation.

Thomas Jefferson''s career is an incredible list of accomplishments. Not just the primary author of the Declaration of Independence and the third US president, he''s also the founder of the University of Virginia and the architect of Monticello. This in-depth biography of Jefferson uses his documents and private letters as primary sources to paint a complete portrait of the man and his undeniable impact on a new nation. Historical images, sidebars, and "More to Know" fact boxes add to the appeal of this absorbing book.

This helpful handbook emphasizes the role of healthy habits in preventing tooth decay and gum disease, including proper brushing and flossing, good nutrition, use of fluoride, and regular dental visits. Teens are encouraged to eliminate habits that can harm their teeth and health, including smoking cigarettes and using chewing tobacco. The final chapter discusses common dental procedures, the role of orthodontics in straightening teeth, and steps to take in handling a dental emergency. Content fulfills National Health Education Standards.

Teens'' enthusiasm for tanning can result in excessive sun exposure and the use of indoor tanning facilities. These activities put them at risk for skin cancer, including the deadliest form, melanoma. In fact, according to Johns Hopkins Children''s Center, skin cancer is becoming increasingly common among teens and young adults. Readers will come to understand the various forms of skin cancer, including how they develop and how they can be detected and treated. Teens learn how to protect themselves by practicing sun safety behaviors such as minimizing UV radiation exposure and wearing protective clothing and sunscreen. Images illuminate concepts in the text, and myths and facts correct common misconceptions.

From the early years at Archbold Gymnasium to today''s record-breaking crowds at the Carrier Dome, readers learn the rich history of the Syracuse Orange, the fifth winningest Division I men''s basketball program. Early chapters trace the team from its founding in 1901 to its emergence onto the national scene in the 1960s, led by Hall of Famer Dave Bing and his teammate and future coach Jim Boeheim. Since 1976, Coach Boeheim has led Syracuse to multiple NCAA appearances, including a national championship. Later chapters follow the team through its membership in the Big East from 1979 to 2013, when it left to join the ACC.

Self-injury and cutting refers to harming one’s own body on purpose, a troubling problem that tends to begin in the teen or early adult years. Also known by several other terms, including “self-harm” and “self-mutilation,” the behavior is often used as an outlet to get temporary relief from tormenting emotions. Written by a medical doctor, this book offers honest information about self-injury, who it tends to affect, and possible reasons people self-injure. The author is straightforward, yet sympathetic and supportive, in detailing the dangers of the behavior and how teens can help themselves or others to stop. Myths and facts, questions for a therapist, and organizations to contact for further information are helpful features.

Franklin D. Roosevelt was one of the most powerful and popular US presidents. He was the only one to serve 12 years and was elected four times. As the leader of the nation, he saw the country through an economic depression and World War II. Through primary sources, personal and political writings, and quotations, readers will become familiar with the man behind the famous name, from his early life to his momentous presidency. This book is a unique way to examine US history in the early twentieth century through the biography of one remarkable man.

Tuskegee Airmen, the first African American flying unit in the American military, were some of the most decorated servicemen of the Army Air Forces during World War II. Trained at Tuskegee Army Air Field in Alabama, these courageous men flew more than 1,500 missions. This stirring narrative describes the fight to allow African Americans to serve as pilots, the training the men received, and some of the most exciting missions and sorties the unit faced. Not only did these exceptional soldiers fight the Axis powers, they fought prejudice and discrimination at home.

Eleanor Roosevelt wasn’t content to be a seldom-seen, never-heard First Lady. Instead, she worked tirelessly for the many causes dear to her heart, including the rights of African Americans, women, and the poor. After Franklin D. Roosevelt’s death, she traveled the world promoting peace in the aftermath of World War II. Roosevelt was so beloved she became known as the “First Lady of the World.” This extraordinary woman’s life and work is presented in this charming biography that utilizes her own words from her prolific writings. Roosevelt’s wit, charm, and intelligence shine in each passage, while carefully chosen photographs reflect important moments in her life.

Vlad III, the 15th century ruler of what is now southern Romania, had a terrifying nickname—the Impaler. It originated with the grisly way he dealt with his enemies: He demanded that their not-yet-dead bodies be impaled on stakes. Vlad’s reputation for brutality only grew and later became entwined with the legend of the vampire Dracula. This in-depth account presents the true story of Vlad the Impaler and his fight against the Ottoman Empire, a struggle that makes the villain a hero to some. An appealing design and features such as sidebars and fact boxes make this biography an especially high-interest read for young historians.

Thomas Jefferson''s Declaration of Independence was the eloquent, concise, and persuasive piece around which the American colonies rallied during the American Revolution. Jefferson listed the many grievances the colonists had with the British crown and stated it was natural for the colonies to break away. Readers will examine this document and trace the origins of the ideas found within. They''ll learn what was happening in the colonies as the Second Continental Congress debated their next move in the war with England. This book provides a thoughtful look at perhaps the most celebrated document of our nation.

Tuskegee Airmen, the first African American flying unit in the American military, were some of the most decorated servicemen of the Army Air Forces during World War II. Trained at Tuskegee Army Air Field in Alabama, these courageous men flew more than 1,500 missions. This stirring narrative describes the fight to allow African Americans to serve as pilots, the training the men received, and some of the most exciting missions and sorties the unit faced. Not only did these exceptional soldiers fight the Axis powers, they fought prejudice and discrimination at home.