Wydawca: K-i-s-publishing
David Mertz
Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way.In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with.Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses.
Ludovico Serra
Clip Studio Paint is powerful art software that can help you create artistic work with its in-built material organizer, 3D integration, and group work features. It also provides other features that can speed up the workflow of illustrators, concept artists, and comic artists. With Clip Studio Paint by Example, you’ll learn how to use CSP effectively for a wide variety of artistic purposes.The book starts by helping you create the right workspace for concept art, illustration, and comics. You’ll create a brush, set up a canvas, and develop an auto-auction. Along with covering how to work with CS Modeler that comes bundled with CSP, this book shows you how to import and rig characters easily. You’ll then create reusable changeable scenes and a 3D human character in Blender before exploring concept art, illustrations, comics, and how to create your own portfolio. The book features a glossary with brief explanations of all the main CSP functions. The focus of the book is not on drawing or painting but on helping you enhance your artistic skills using Clip Studio Paint to create an impressive portfolio.By the end of this book, you’ll be able to use the impressive capabilities of CSP to create beautiful digital art in a productive way.
Clojure for Data Science. Statistics, big data, and machine learning for Clojure programmers
Henry Garner
The term “data science” has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a scripting language with the speed of a compiled language. Together with its rich ecosystem of native libraries and an extremely simple and consistent functional approach to data manipulation, which maps closely to mathematical formula, it is an ideal, practical, and flexible language to meet a data scientist’s diverse needs.Taking you on a journey from simple summary statistics to sophisticated machine learning algorithms, this book shows how the Clojure programming language can be used to derive insights from data. Data scientists often forge a novel path, and you’ll see how to make use of Clojure’s Java interoperability capabilities to access libraries such as Mahout and Mllib for which Clojure wrappers don’t yet exist. Even seasoned Clojure developers will develop a deeper appreciation for their language’s flexibility!You’ll learn how to apply statistical thinking to your own data and use Clojure to explore, analyze, and visualize it in a technically and statistically robust way. You can also use Incanter for local data processing and ClojureScript to present interactive visualisations and understand how distributed platforms such as Hadoop sand Spark’s MapReduce and GraphX’s BSP solve the challenges of data analysis at scale, and how to explain algorithms using those programming models.Above all, by following the explanations in this book, you’ll learn not just how to be effective using the current state-of-the-art methods in data science, but why such methods work so that you can continue to be productive as the field evolves into the future.
Eduardo Díaz, Eduardo D Real
We have reached a point where machines are not getting much faster, software projects need to be delivered quickly, and high quality in software is more demanding as ever.We need to explore new ways of writing software that helps achieve those goals. Clojure offers a new possibility of writing high quality, multi-core software faster than ever, without having to leave your current platform.Clojure for Java developers aims at unleashing the true potential of the Clojure language to use it in your projects. The book begins with the installation and setup of the Clojure environment before moving on to explore the language in-depth. Get acquainted with its various features such as functional programming, concurrency, etc. with the help of example projects. Additionally, you will also, learn how the tooling works, and how it interacts with the Java environment. By the end of this book, you will have a firm grip on Clojure and its features, and use them effectively to write more robust programs.
Clojure: High Performance JVM Programming. Click here to enter text
Akhil Wali, Shantanu Kumar, Eduardo Díaz
Clojure is a general-purpose language from the Lisp family with an emphasis on functional programming. It has some interesting concepts and features such as immutability, gradual typing, thread-safe concurrency primitives, and macro-based metaprogramming, which makes it a great choice to create modern, performant, and scalable applications.This learning path aims at unleashing the true potential of the Clojure language so you can use it in your projects. It begins with installing and setting up the Clojure environment before moving on to explore the language in depth. You’ll get acquainted with its various features such as functional programming, concurrency, reducers, transducers, core.async and core.logic, and so on with a great level of detail.Moving on, you’ll also learn how to enhance performance using Java interoperability and JVM-specific features from Clojure; you’ll even master language features such as asynchronous channels, actors, logic programming, reactive programming, metaprogramming, and so on.This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:• Clojure for Java Developers by Eduardo Díaz• Clojure High Performance Programming, Second Edition by Shantanu Kumar• Mastering Clojure by Akhil Wali
