Most Of The Papers Of This Book Were Read And Discussed In Various Conferences Of The All India Oriental Conferences Held In Jaipur University, Gujarat University, Maharashtra University And Gurukul Visvavidyalay And Seminars Organised By The Asiatic Society And Other Universities.
Most Of The Papers Of This Book Were Read And Discussed In Various Conferences Of The All India Oriental Conferences Held In Jaipur University, Gujarat University, Maharashtra University And Gurukul Visvavidyalay And Seminars Organised By The Asiatic Society And Other Universities.
The natural gas business consists of two major aspects, sourcing and transportation, and distribution has been a growing area of interest to industry, government and academia. With the emphasis on promoting natural gas sector, there is an increasing need to have a well documented book that deals with the business issues, particularly the transportation and distribution of this sector, specifically aimed at petroleum engineers and professionals. This book fills this gap to provide structured material that deals with managerial and regulatory aspects with an applied technical perspective wherever needed.
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.
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