Whether you're learning how to code for the first time, or just trying to add to your programming arsenal, you're in the right place. Python is one of, if not the most, widely used programming language today, whether you're at a large corporation or at home developing a game. It doesn't matter if you're into game development or mobile app engineering; Python is a great choice either way. The structure of the language doesn't require lengthy code to be written, and its comprehensive standard library allows it to support multiple programming paradigms.

Python Programming Guide makes no assumptions about your Python or computer programming knowledge or background. To get the most out of this book, you don't need any prior knowledge. You will be guided through the process logically and systematically. When new concepts, commands, or jargon are encountered, they are explained in simple terms so that anyone can understand them.

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.

Ignite your untapped potential with ChatGPT and revolutionize your personal and professional life using this comprehensive, step-by-step guide to AI mastery! With up to 40% of daily work activities capable of being automated, there's never been a better time to dive into the world of AI. In this guide, you'll uncover everything you need to know about ChatGPT and how to use it to streamline your workflow and enhance your productivity. You'll gain practical insights into how to make ChatGPT work for you.

The Lean Product Playbook is a practical guide to building products that customers love. Whether you work at a start-up or a large, established company, we all know that building great products is hard. Most new products fail. This book helps improve your chances of building successful products through clear, step-by-step guidance and advice.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

Python is easy to learn because the code looks a lot like regular English, but don’t let this simplicity deceive you. It’s one of the most powerful and versatile programming languages out there! In fact, it powers many of your favorite websites and services, including Instagram, Spotify, and even Google. This audiobook takes you on a practical journey through the amazing features of Python. Unlike books that focus on theoretical concepts only, this book will show you how Python is actually used and encourage you to get creative!

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners. Python is a great language that is commonly used with machine learning.

Either if you want to start up your own enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies, Computer Programming: Python will prepare the ground for your future success.

In the competitive job market, the need for SQL developers has increased dramatically throughout the years. It’s the new alternative to web design and app development that’s so saturated to the point that in order to succeed, you need to be the best of the best. SQL development is the new hidden talent that big companies are looking for that nobody has really heard about.

Three manuscripts in one book! You do not want to miss out on this incredible offer. What you'll learn: fundamentals of neural networks; algorithms; transactional control commands; understanding cursors, triggers, and errors; and much, much more.

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

Are you struggling with being organized? Do you have too much to do? Tired of forgetting important ideas or reminders? The truth is we're surrounded by so much "noise" (ideas, TV, social media, and advertising) that it's hard to slow down and keep track of the truly important things. One way to fix this problem? The Evernote app.

With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.