Doing Math With Python,PDF EPUB Download
14/04/ · • Pages • MB • English. + Python. Posted April 14, • Submitted by blogger.com Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus!Math Summary Math Adventures with Python Book 1 Math Adventures with Python MATH ADVENTURES WITH PYTHON EBOOK AUTHOR BY PETER FARRELL Math Adventures 08/01/ · Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and Rating: 2 ( Rating) Highest rating: 5. Lowest rating: 1. Descriptions: Math Adventures with Python teaches you how to use Python to transform learning . Ebook (PDF, Mobi, and ... read more
Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Math Adventures with Python will show you how to harness the power of programming to keep math relevant and fun. With the aid of the Python programming language, you'll learn how to visualize solutions to a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices, and cellular automata. Once you've learned the programming basics like loops and variables, you'll write your own programs to solve equations quickly, make cool things like an interactive rainbow grid, and automate tedious tasks like factoring numbers and finding square roots.
You'll learn how to write functions to draw and manipulate shapes, create oscillating sine waves, and solve equations graphically. You'll also learn how to: - Draw and transform 2D and 3D graphics with matrices - Make colorful designs like the Mandelbrot and Julia sets with complex numbers - Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle - Generate virtual sheep that graze on grass and multiply autonomously - Crack secret codes using genetic algorithms As you work through the book's numerous examples and increasingly challenging exercises, you'll code your own solutions, create beautiful visualizations, and see just how much more fun math can be!
Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie Neuronale Netze arbeiten. Dafür brauchen Sie keine tieferen Mathematik-Kenntnisse, denn alle mathematischen Konzepte werden behutsam und mit vielen Illustrationen erläutert. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht.
Zum Schluss lassen Sie das Netz noch auf einem Raspberry Pi Zero laufen. 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. The second edition of the best-selling Python book in the world over 1 million copies sold! A fast-paced, no-nonsense guide to programming in Python. Updated and thoroughly revised to reflect the latest in Python code and practices. Python Crash Course is the world's best-selling guide to the Python programming language. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You'll also learn how to make your programs interactive and test your code safely before adding it to a project.
In the second half, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, a set of data visualizations with Python's handy libraries, and a simple web app you can deploy online. Why wait any longer? Start your engines and code! py Author : Tristan Bunn Publisher: No Starch Press ISBN: Category: Computers Page: View: An accessible, visual, and creative approach to teaching core coding concepts using Python's Processing. py, an open-source graphical development environment. This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex.
As you grow more fluent in both Python and programming in general, topics shift toward the mastery of algorithmic thinking, as you explore periodic motion, Lissajous curves, and using classes to create objects. Author : Sean McManus Publisher: No Starch Press ISBN: Category: Computers Page: View: Learn how to:. Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. Let Python handle the grunt work while you focus on the math. Download You can also get this PDF by using our Android Mobile App directly:. Dev Books Web development Angular Books CSS3 Language HTML5 Language JQuery Books Laravel Books Reactjs Books NodeJs Books Sails. js Books TypeScript Books Vue. Js Books Symfony Books Github Books Software Development Python Language Java Language.
Home Random Books Doing Math With Python. Random Books. You can also get this PDF by using our Android Mobile App directly:. Share this: Click to share on Twitter Opens in new window Click to share on Facebook Opens in new window. RELATED ARTICLES MORE FROM AUTHOR. Articulate Storyline Essentials. Beginning SharePoint Development. Beginning SharePoint SharePoint WCM Advanced Cookbook.
A comprehensive introduction to mathematics in Python for artificial intelligence applications. PDF EPUB Download in Computers Peter Farrell Math Adventures with Python An Illustrated Guide to Exploring Math with Code Author : Peter Farrell Publisher: No Starch Press ISBN: Category: Computers Page: View: Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Math Adventures with Python will show you how to harness the power of programming to keep math relevant and fun.
With the aid of the Python programming language, you'll learn how to visualize solutions to a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices, and cellular automata. Once you've learned the programming basics like loops and variables, you'll write your own programs to solve equations quickly, make cool things like an interactive rainbow grid, and automate tedious tasks like factoring numbers and finding square roots. You'll learn how to write functions to draw and manipulate shapes, create oscillating sine waves, and solve equations graphically. You'll also learn how to: - Draw and transform 2D and 3D graphics with matrices - Make colorful designs like the Mandelbrot and Julia sets with complex numbers - Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle - Generate virtual sheep that graze on grass and multiply autonomously - Crack secret codes using genetic algorithms As you work through the book's numerous examples and increasingly challenging exercises, you'll code your own solutions, create beautiful visualizations, and see just how much more fun math can be!
Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie Neuronale Netze arbeiten. Dafür brauchen Sie keine tieferen Mathematik-Kenntnisse, denn alle mathematischen Konzepte werden behutsam und mit vielen Illustrationen erläutert. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht. Zum Schluss lassen Sie das Netz noch auf einem Raspberry Pi Zero laufen. 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. The second edition of the best-selling Python book in the world over 1 million copies sold! A fast-paced, no-nonsense guide to programming in Python. Updated and thoroughly revised to reflect the latest in Python code and practices. Python Crash Course is the world's best-selling guide to the Python programming language. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic.
You'll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, a set of data visualizations with Python's handy libraries, and a simple web app you can deploy online. Why wait any longer? Start your engines and code! py Author : Tristan Bunn Publisher: No Starch Press ISBN: Category: Computers Page: View: An accessible, visual, and creative approach to teaching core coding concepts using Python's Processing. py, an open-source graphical development environment. This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context.
Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex. As you grow more fluent in both Python and programming in general, topics shift toward the mastery of algorithmic thinking, as you explore periodic motion, Lissajous curves, and using classes to create objects. Author : Sean McManus Publisher: No Starch Press ISBN: Category: Computers Page: View: Program a graphical adventure game in this hands-on, beginner-friendly introduction to coding in the Python language. Launch into coding with Mission Python, a space-themed guide to building a complete computer game in Python. You'll learn programming fundamentals like loops, strings, and lists as you build Escape!
As you work through the book, you'll build exercises and mini-projects, like making a spacewalk simulator and creating an astronaut's safety checklist that will put your new Python skills to the test. You'll learn how to use Pygame Zero, a free resource that lets you add graphics and sound effects to your creations, and you'll get useful game-making tips, such as how to design fun puzzles and intriguing maps. Before you know it, you'll have a working, awesome game to stump your friends with and some nifty coding skills, too! You can follow this book using a Raspberry Pi or a Microsoft Windows PC, and the 3D graphics and sound effects you need are provided as a download. An introduction to modeling and simulating physical systems with MATLAB, mathematical computing software for engineers and scientists. A concise introduction to programming and modeling real world systems with MATLAB, a popular programming language for science and engineering. Unlike competing books which are often too mathematical and theoretical, this book by best-selling author Allen Downey is designed to be practical, with an emphasis on thinking about how to design and use models.
The author shows the reader that systems may have many possible models and shows them how to justify modeling decisions, choose appropriate models, validate their choices, and iteratively improve their models. Readers are taught basic programming skills and how to combine them with MATLAB to model and simulate systems like population growth, baseball flight trajectories, bungee jumping, and celestial mechanics. For example, the book explores concepts like the Penny Drop Myth: the claim that a penny dropped from the top of the Empire State Building lands with enough force to injure a person or the sidewalk. The author addresses this myth by developing and implementing three models of the system, including or excluding features like air resistance and spin.
Other physical systems include world population growth, infectious disease, the coffee cooling problem, baseball trajectories, bungee jumping, and celestial mechanics. Readers learn to use MATLAB to visualize and summarize their results, as well as how to use their models to predict, explain, and design systems. The book presents applications from a range of areas including demography, thermodynamics, epidemiology, ecology, pharmacokinetics, and mechanics. Numerous exercises, sample code, and MATLAB Live Scripts notebooks that include code, results, and explanatory text help the reader develop the knowledge and skills necessary to work comfortably in MATLAB. A book for anyone teaching computer science, from elementary school teachers and coding club coaches to parents looking for some guidance.
Computer science opens more doors for today's youth than any other discipline - which is why Coding in the Classroom is your key to unlocking students' future potential. Author Ryan Somma untangles the current state of CS education standards; describes the cognitive, academic, and professional benefits of learning CS; and provides numerous strategies to promote computational thinking and get kids coding! Whether you're a teacher, an after-school coach, or a parent seeking accessible ways to boost your kid's computer savvy, Coding in the Classroom is here to help. With quick-start programming strategies, scaffolded exercises for every grade level, and ideas for designing CS events that promote student achievement, this book is a rock-solid roadmap to CS integration from a wide variety of on-ramps.
From learning computational thinking via board games to building their own websites, students are offered a variety of entry points for acquiring the skills they need to succeed in the 21st-century workforce. Moreover, Somma understands how schools operate - and he's got your back. You'll be empowered to advocate for the value of implementing CS across the curriculum, get stakeholder buy-in, and build the supportive, equitable coding community that your school deserves. Learn to program with visual examples. Programs increase in complexity as you progress — from drawing a circle to 3D graphics, animations, and simulations.
A Graphical Introduction to Programming teaches computer programming with the aid of example programs, each of which integrates graphical or sound output. The Processing-language-based examples range from drawing a circle and animating bouncing balls to 3D graphics, audio visualization, and interactive games. Readers learn core programming concepts like conditions, loops, arrays, strings and functions, as well as how to use Processing to draw lines, shapes, and 3D objects. Advanced examples include sound effects and audio visualization, network communication, 3D geometry and animation, simulations of snow and smoke, predator-prey populations, and interactive games. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily.
You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence syntactic dependency parsing ; identify nouns, verbs, and other parts of speech part-of-speech tagging ; and sort proper nouns into categories like people, organizations, and locations named entity recognizing. You'll even learn how to transform statements into questions to keep a conversation going. By the end of the book, you'll be creating your own NLP applications with Python and spaCy. Best Books True Comfort African Marriage and Social Change Wizard Hacking Ethical Nature's Garden Betty in the Sky with a Suitcase Super Green Smoothies Be Affirmed The United Nations Decade of International Law How Not to Summon a Demon Lord Manga Vol.
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Math Adventures with Python,Visit PDF download
Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus!Math Rating: 2 ( Rating) Highest rating: 5. Lowest rating: 1. Descriptions: Math Adventures with Python teaches you how to use Python to transform learning . Ebook (PDF, Mobi, and Computer science books Recommended by AzatAI. (Education ONLY) - cs_books/Math Adventures with Python (en).Pdf at master · AzatAI/cs_books Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus!Math Adventures with Python will show you 08/01/ · Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes ... read more
Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Readers learn core programming concepts like conditions, loops, arrays, strings and functions, as well as how to use Processing to draw lines, shapes, and 3D objects. Beginning PowerShell for SharePoint With quick-start programming strategies, scaffolded exercises for every grade level, and ideas for designing CS events that promote student achievement, this book is a rock-solid roadmap to CS integration from a wide variety of on-ramps.
Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex. 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. Author : Sean McManus Publisher: No Starch Press ISBN: Category: Computers Page: View: Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Programs increase in complexity as you progress — from drawing a math adventures with python pdf download to 3D graphics, animations, and simulations. RELATED ARTICLES MORE FROM AUTHOR, math adventures with python pdf download.
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