Data Science Language

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.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

Every new version of Java is important, but Java 8 was a game changer. Java 8 in Action is a clearly written guide to the new features of Java 8. It begins with a practical introduction to lambdas, using real-world Java code. Next, it covers the new Streams API and shows how you can use it to make collection-based code radically easier to understand and maintain.

There are a lot of benefits to making sure that your network is always safe and secure. And working with the Python language is one of the best ways for you to make sure that we are able to work with some of our own attacks and penetration testing to keep that network safe. Even if you have never worked on hacking in the past, this audiobook is going to give you some of the steps and tips that we need to see the best results with hacking, overall.

Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The audiobook will teach you about the most important services on AWS. You will also learn about best practices regarding security, high availability, and scalability.

Are you a newbie to computer programming and you want to start but you are a little confusing? Are you searching for a book with many practical examples within? Are you curious to understand why Python is the best way to begin? If you feel related to those questions, then this audibook is for you. Here you will find tons of useful information about Python divided into sections to make the learning process easier and more interesting.

You are about to discover how you can learn Python to ride in the next wave of big/advanced computing that is in artificial intelligence, deep learning, data science, big data, data analytics, deep learning, and more! There has been a lot of talk about artificial intelligence, data analytics, data mining, big data, data science, and many other fancy names lately. Lucky for you, this audiobook is meant to answer all these topics and many others.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Artificial intelligence is the secret behind the big ones like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this audiobook, you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies. If programming will open you many doors, Python programming will open you even more.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web.

If you are an experienced coder or a beginner looking for the first time at this topic, the only thing you really need to know is that Python is one of the most requested and used languages, and there is no sign of change in the future. This is why Python programmers are among the most valued professionals and, therefore, well-paid. This is certainly one very good reason, I think, to start learning more about this topic. Don’t you agree?

Demystifying IT has been hailed as the one book about information technology that leaders of midsized companies should listen to. Given the importance of IT in today’s world, it might also be the most timely and valuable business book of any kind to be published recently. The co-authors are masters of leveraging IT for creating sustainable competitive advantages for businesses. They’ve been at it for decades, solving problems that defied other experts, and leading digitization projects which have boosted client companies into new realms of growth and profit.

In the digital age, where data is king, the role of data engineering has become paramount in deciphering the vast ocean of data into structured insights. "Ace the Data Engineering Job Interview" is an indispensable resource for anyone looking to stand out in the rigorous interview processes of top tech companies like Google, Amazon, Facebook, Apple, Netflix, and more.

Many people are afraid of programming and feel like it's just too hard. But with Python programming language, you will find that it can be easier than ever to learn about coding and even to read it as a professional. As you know, there are many computer programming languages. You’ll, perhaps, need more than one life to master them all.