Computing & Internet Books

Eager to learn Python Programming Quickly?Have you always wanted to learn computer programming but you thought is difficult for you? Or perhaps you know other programming languages but you are interested in learning Python language fast than ever? If the answer to these questions is yes....... ...then, you are in the right place! Code is the language of the future. And the time to learn the ins and outs of coding is now, unless of course you want to be left behind from the biggest revolution that mankind will witness. So what does it take to be one of those who the masses will rely on to create products, change them and do a lot more with technology? Well, the secret is in learning programming languages because every electronic device runs on some sort of programming language. The question then becomes; so which programming language should you at least prioritize to learn given that there are so many programming languages? Well, if for whatever reason, you have been looking to learn programming or perhaps looking to improve your programming skills, Python programming language could be the best option you can get right now. It makes everything so easy! From the rich and well-designed standard library and built-ins to the availability of modules and numerous third-party open source libraries, very few programming languages can beat it. Particularly, if you are a programmer who is looking to dip his or her feet into programming, you need to learn a simple language that is easy to understand and that has easy to maintain code. You need to learn a programming language that runs on all key operating systems such as Linux, Mac OS X, and Microsoft windows, and one that is more reliable (does not contain pointers, which is case with other languages based on C). You need to learn Python.Python will provide you all that, and since new platforms like Raspberry Pi are Python based, learning Python will place you at an ideal place where you can enjoy the internet of things of opportunities and anyway (in case you have not yet noticed), Python’s popularity for the internet of things is really growing. That is just a tip of the iceberg, with Python, opportunities and possibilities are simply endless. This book has actionable information that will help you to understand Python in a advanced level.Welcome to the final issue of our Python programming book series. This book is the advanced edition that you have been building up to as you went through the exercises in the last two books. This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating. Let me explain why this book is different... I think that the best way to learn Python (or any other skills) is by doing it. This book includes visual charts that you'll guide you and help you learn those specific codes that you want to learn really fast. And in this way, believe me that you'll have an immense sense of achievement and it’ll also help you retain the knowledge and master the language.Here's what we will talk about in this book: ✓File management✓Python Iterator✓Python Generator✓Regular Expressions ✓Python Closure✓Python Property✓Python Assert, and✓Simple recap projects If you’ve been thinking seriously about digging into programming, Python Programming: Your Advanced Guide To Learn Python in 7 Days, will get you up to speed and have you writing real programs fast. Why wait any longer? Click the BUY button now and start your engines and code!

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions.This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.