A C# beginners guide to the core parts of the C# language! About This Book ? Learn C#, Visual Studio, and Object Oriented Programming ? See practical examples of all the core C# language features so that you can easily master them yourself ? Use the C# programming language to work with code and data, which can be applied to other programming languages as well ? Complete a variety of programming assignments for hands-on practice, as you move through the course Who This Book Is For This book will appeal to anyone who is interested in learning how to program in C#. Previous programming experience will help you get through the initial sections with ease, although, it’s not mandatory to possess any experience at all. What You Will Learn ? Learn C#, Visual Studio, and object-oriented programming ? Learn all the core C# language syntax with hands-on working examples ? Learn everything from basic variable assignments to complex multidimensional arrays ? Go through practical examples of all the core C# language features so that you can easily master them yourself ? Use the C# programming language to work with code and data, which can be applied to other programming languages as well In Detail Beginning C# Hands-On - The Core Language teaches you core C# language and syntax in a working Visual Studio environment. This book covers everything from core language through to more advanced features such as object-oriented programming techniques. This book is for C# beginners who need a practical reference to core C# language features. You'll also gain a view of C# through web programming with web forms, so you'll learn HTML, basic CSS, and how to use a variety of controls, such as buttons and drop-down lists. You'll start with the fundamentals of C# and Visual Studio, including defining variables, interacting with users, and understanding data types, data conversions, and constants. You'll move on to checking conditions using if/else blocks, and see how to use loops to do things such as repeat blocks of code. After covering various operators to evaluate and assign control structures, you'll see how to use arrays to store collections of data. By the time you’ve finished the book, you’ll know how to program the vital elements of the core C# language. These are the building blocks that you can then combine to build complex C# programs. Style and approach A comprehensive book that blends theory with just the right amount of practical code implementations, to help you get up and running with the C# programming language. You’ll also get to work with other tools and technologies that complement C# programming. Each core part of the C# language is coded as you learn, and code output is tested every time to verify the syntax is working as expected, so it’s easy for you to learn directly from the working code examples.

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Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features *A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ *A modern, practical and computational approach to Bayesian statistical modeling *A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises. Book Description The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models. The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to. What you will learn *Build probabilistic models using the Python library PyMC3 *Analyze probabilistic models with the help of ArviZ *Acquire the skills required to sanity check models and modify them if necessary *Understand the advantages and caveats of hierarchical models *Find out how different models can be used to answer different data analysis questions *Compare models and choose between alternative ones *Discover how different models are unified from a probabilistic perspective *Think probabilistically and benefit from the flexibility of the Bayesian framework Who this book is for If you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory so no previous statistical knowledge is required, although some experience in using Python and NumPy is expected.