Computer Language

Even if you are a complete newbie in the field of computer programming, that’s perfectly fine. By starting out with a beginner’s guide, everything will be thoroughly explained for you to eliminate any confusion you may have along the way. Not only is this considerably cheaper than enrolling in an online course or attending college lecture but it also allows for flexibility in your tight schedule so you don’t have to worry about deadlines or being thrown out of class for too many absences.

Newly updated for 2024! Want to learn how to code in less than a day? This book was designed for absolute beginners – you don’t need any prior experience or knowledge. Written by the Co-Founders of The Tech Academy (www.learncodinganywhere.com), it serves as a perfect introduction to computer programming for anyone. This book utilizes Python, one of the most popular programming languages in the world. Learn Coding Basics in Hours with Python is easy and simple, and it can be completed fast. The Tech Academy is a technology school that specializes in coding bootcamps. You can enroll ...

Did you know that coding and programming jobs are one of the most secure and best-paid jobs around the world? According to BSL, the median annual wage for computer programmers was $84,280 in 2018. The field is growing strong and companies are headhunting coders. But even if you don't want to become a professional coder, programming skills increase your salary in other fields such as marketing, finance, and business analysis. Several studies have shown that programming skills added more than $20,000 to the annual salary.

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.

In this comprehensive guide to C programming, readers embark on a journey that starts with the basics and advances to the most sophisticated applications of C. Authored by the writer of numerous number 1 titles, J.J.F. Reibel, this book meticulously explores the language’s most powerful features while emphasizing the crucial role C has played—and continues to play—in powering technology since the late 20th century.

Microsoft project veteran Scott Berkun offers a collection of essays on field-tested philosophies and strategies for defining, leading, and managing projects. Each essay distills complex concepts and challenges into practical nuggets of useful advice, and the new edition now adds more value for leaders and managers of projects everywhere.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

Are you ready to transform your career and start earning with Python? Whether you're looking to land a tech job, freelance gigs, or create profitable side hustles, this practical audiobook is your fast track to Python success! Forget theoretical lectures and complex jargon - this guide focuses on real-world applications and money-making opportunities. Learn while you commute, exercise, or relax!

Curious about AI, but unsure how it works? Want to tap into the lucrative potential of this rapidly advancing technology? Unlock the immense potential of AI with this transformative book! Welcome to Fundamentals of Artificial Intelligence & Large Language Models, the second in a series of books crafted to help you join a movement toward a more financially fruitful future.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained.

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

Introducing "Navigating Computer Systems Architecture": Your all-in-one comprehensive guide to the fascinating world of computer systems architecture! Are you ready to embark on a captivating journey through the intricate mechanisms that power the digital devices we use every day? This insightful eBook is your ultimate resource to mastering the essential concepts that shape the world of computing today. From the industry's time-tested principles to today's cutting-edge breakthroughs, "Navigating Computer Systems Architecture" provides you with a spectacular bird's-eye view of the entire ...

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.