With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key FeaturesDiscover how most programmers use the main Python libraries when performing statistics with PythonUse descriptive statistics and visualizations to answer business and scientific questionsSolve complicated calculus problems, such as arc length and solids of revolution using derivatives and integralsBook Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learnGet to grips with the fundamental mathematical functions in PythonPerform calculations on tabular datasets using pandasUnderstand the differences between polynomials, rational functions, exponential functions, and trigonometric functionsUse algebra techniques for solving systems of equationsSolve real-world problems with probabilitySolve optimization problems with derivatives and integralsWho this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.
Dyslexia is a complex condition that affects not only learning but every part of life. Experience or fear of social stigma can lead people with dyslexia to camouflage the difficulties they face, to withdraw and to adopt negative coping strategies, particularly if they lack adequate support, identification and intervention. This can have lasting impact on their emotional health. Neil Alexander-Passe is an experienced researcher and a special needs teacher in secondary mainstream education. He also has dyslexia. Neil uses his personal and professional experience to shed light on the complexities surrounding dyslexia and examines psychological theories such as ego-defence mechanisms and learned helplessness that reveal how people deal with its emotional impact. He offers guidelines and advice, illustrated with real life examples, about how to help people with dyslexia avoid harmful coping strategies and learn to deal with stress, anxiety and low self-esteem in more effective and psychologically positive ways. This book will help educational and clinical psychologists, teachers, mental health specialists, counsellors and therapists understand the emotional complexities of dyslexia.
How the Civilian Conservation Corps constructed, rejuvenated, and protected American forests and parks at the height of the Great Depression. Propelled by the unprecedented poverty of the Great Depression, President Franklin D. Roosevelt established an array of massive public works programs designed to provide direct relief to America’s poor and unemployed. The New Deal’s most tangible legacy may be the Civilian Conservation Corps’s network of parks, national forests, scenic roadways, and picnic shelters that still mark the country’s landscape. CCC enrollees, most of them unmarried young men, lived in camps run by the Army and worked hard for wages (most of which they had to send home to their families) to preserve America’s natural treasures. In The New Deal’s Forest Army, Benjamin F. Alexander chronicles how the corps came about, the process applicants went through to get in, and what jobs they actually did. He also explains how the camps and the work sites were run, how enrollees spent their leisure time, and how World War II brought the CCC to its end. Connecting the story of the CCC with the Roosevelt administration’s larger initiatives, Alexander describes how FDR’s policies constituted a mixed blessing for African Americans who, even while singled out for harsh treatment, benefited enough from the New Deal to become an increasingly strong part of the electorate behind the Democratic Party. The CCC was the only large-scale employment program whose existence FDR foreshadowed in speeches during the 1932 campaign—and the dearest to his heart throughout the decade that it lasted. Alexander reveals how the work itself left a lasting imprint on the country’s terrain as the enrollees planted trees, fought forest fires, landscaped public parks, restored historic battlegrounds, and constructed dams and terraces to prevent floods. A uniquely detailed exploration of life in the CCC, The New Deal’s Forest Army compellingly demonstrates how one New Deal program changed America and gave birth to both contemporary forestry and the modern environmental movement.
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