Amit Saha

YOUR PRACTICAL, HANDS-ON GUIDE TO WRITING APPLICATIONS USING GO Google announced the Go programming language to the public in 2009, with the version 1.0 release announced in 2012. Since its announcement to the community, and the compatibility promise of the 1.0 release, the Go language has been used to write scalable and high-impact software programs ranging from command-line applications and critical infrastructure tools to large-scale distributed systems. It’s speed, simplicity, and reliability make it a perfect choice for developers working in various domains. In Practical Go - Building Scalable Network + Non-Network Applications, you will learn to use the Go programming language to build robust, production-ready software applications. You will learn just enough to building command line tools and applications communicating over HTTP and gRPC. This practical guide will cover: Writing command line applicationsWriting a HTTP services and clientsWriting RPC services and clients using gRPCWriting middleware for network clients and serversStoring data in cloud object stores and SQL databasesTesting your applications using idiomatic techniquesAdding observability to your applicationsManaging configuration data from your applications You will learn to implement best practices using hands-on examples written with modern practices in mind. With its focus on using the standard library packages as far as possible, Practical Go will give you a solid foundation for developing large applications using Go leveraging the best of the language’s ecosystem.

With the high prevalence of autism spectrum disorders among the younger generation, there is a shortage of adequate resources to deliver care for these individuals. Therefore, social media and online forums help create a sense of community and a sense of social network, where members provide support for each other.Assessing Social Support and Stress in Autism-Focused Virtual Communities: Emerging Research and Opportunities is a critical reference volume featuring the latest academic research on online communities and how using social media can provide stress relief for families and individuals diagnosed with an autism spectrum disorder. Including coverage among a variety of applicable viewpoints and subjects such as social media concepts, stress relief, and healthcare communities, this book is ideally designed for academics and practitioners as well as healthcare professionals, researchers, students, academics, and practitioners looking for innovative research on autism spectrum disorders.

Explore les math matiques en codant Cet ouvrage va te montrer comment utiliser Python pour ma triser des sujets du niveau fin de coll ge/lyc e comme les statistiques, la g om trie, les probabilit s et le calcul infinit simal. Tu d buteras par des projets simples, comme cr er un programme calculant la factorielle ou r solvant une quation quadratique, puis, une fois que tu auras appris les bases, tu pourras t'attaquer des projets plus compliqu s.Au fil de ta lecture, tu vas d couvrir de nouvelles mani res d'explorer les math matiques tout en acqu rant des comp tences en programmation qui te serviront tout au long de tes tudes. Tu verras entre autres comment: d crire des donn es avec les statistiques et les organiser sous forme de courbes, diagrammes en b tons ou de dispersion;explorer la th orie des ensembles et les probabilit s avec des programmes simulant des lancers de pi ce et de d , et autres jeux de chance;r soudre des probl mes d'alg bre avec les symboles en Python;tracer des formes g om triques et explorer les fractales comme la foug re de Barnsley, le triangle de Sierpinski et l'ensemble de Mandelbrot; crire des programmes calculant des d riv es et des int grales de fonctions.Coder un programme r solvant des in galit s, tracer le graphique d'un projectile en mouvement, m langer un paquet de cartes, estimer l'aire d'un cercle en jetant 100 000 fl chettes virtuelles sur une surface, explorer la relation entre la suite de Fibonacci et le nombre d'or, voil ce qui t'attend dans ce livre et bien plus encore.Que tu sois int ress par les math matiques mais encore d butant en programmation ou que vous soyez un professeur cherchant introduire la programmation dans vos cours, vous verrez que Python rend la programmation simple et pratique.

Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You ll write an inequality solver, plot gravity s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 'darts' at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. 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 programming easy and practical. Let Python handle the grunt work while you focus on the math. Uses Python 3