Artificial Intelligence with Python by
(EBSCO eBook) New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more.
Concepts of Computer and C Programming by
(EBSCO eBook) Concept of Computer and 'C' Programming contains some special features about fundamental concepts of computer and later programming with C in easy way. Each chapter provides concrete examples and explanation of concepts. Numerous sample programs illustrate C's features and concepts, so that one can apply them in computer lab with ease.
Django 3 by Example by
(EBSCO eBook) In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications. In this book, you will build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Step-by-step guidance will teach you how to integrate popular technologies, enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. This book is intended for developers with Python knowledge who wish to learn Django in a pragmatic way. Some previous knowledge of HTML and JavaScript is assumed.
Effective Theories in Programming Practice by
Set theory, logic, discrete mathematics, and fundamental algorithms (along with their correctness and complexity analysis) will always remain useful for computing professionals and need to be understood by students who want to succeed. This textbook explains a number of those fundamental algorithms to programming students in a concise, yet precise, manner.
Key Dynamics in Computer Programming by
The Key Dynamics in Computer Science gives readers an integrated and rigorous tour into the overall computer architecture, including its hardware and software components.
Solving Ordinary Differential Equations in Python by
This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software.
650 E Parkway S, Memphis, TN 38104 · (901) 321-3432