Bøker av Wei-Meng Lee

DESCRIPTIONStatistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of statistics and how to use Python to analyze data. You will learn to find patterns, quantify uncertainty, and make data-driven predictions with confidence. You will start with basic statistics and then use Python libraries like NumPy and Pandas for data manipulation. You will also learn data visualization with Matplotlib and Seaborn to create informative charts. The book covers probability theory and statistical inference to help you make data-driven decisions. You will be exploring regression and time series analysis with ARIMA for forecasting. Finally, the book introduces ML algorithms, preparing you for real-world data science projects.The book focuses on applying statistics rather than theory, using popular libraries like NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn. Reading this book will give you a good foundation for working with ML, business analytics, and data-driven business challenges.KEY FEATURES ● Learn the various aspects of statistics and its applications in real-world scenarios.● Learn about the various libraries in Python for working with data.● Adopt the learn-by-doing approach to solve real-world statistics problems.● Learn how statistics is applied to Machine Learning.WHAT YOU WILL LEARN● Learn the fundamentals of Python and its libraries like Numpy, Pandas, Matplotlib and Seaborn.● Grasp descriptive statistics and probability concepts.● Perform statistical inference with Chi-square, ANOVA, and regression analysis.● Skillfully navigate multivariate and time series analysis.● Apply statistical techniques in practical ML.WHO THIS BOOK IS FORThis book is for readers with basic Python knowledge who want to apply statistics in real-life scenarios, and those pursuing careers in data analytics, data engineering, data science, ML, and AI. It is also ideal for students beginning a course in statistics.

DuckDB is an open source in-process database created for OLAP workloads. It provides key advantages that separate this database from more mainstream OLAP solutions, including embeddability, compatibility with SQL, optimization for fast and efficient analytics, and integration with Python. This practical book shows you how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI. Author Wei-Meng Lee shows developers, data engineers, data analysts, and data scientists how to get started. You'll learn the primary features and functions of DuckDB, explore use cases and best practices, and examine practical examples of how DuckDB can be used for a variety of data analytics tasks. You'll also dive into specific topics including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize DuckDB data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. You'll also explore: The purpose of DuckDB and its main functions How to conduct data analytics tasks using DuckDB Methods for integrating DuckDB with pandas, Polars, and JupySQL How to use DuckDB to query your data Ways to perform spatial analytics using DuckDB's spatial extension How to work with a diverse range of data including Parquet, CSV, and JSON Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies.

Beginning-Intermediate user level

Go ist eine der neueren Programmiersprachen, die Softwareentwickler in ihrer Werkzeugkiste haben sollten. Die Sprache wurde mit dem Ziel entwickelt, besonders gut lesbar, benutzerfreundlich und effizient zu sein, und ist eine gute Wahl für Entwickler, die Anwendungen für die Cloud erstellen. Dieses Buch zeigt Ihnen die ersten Schritte in Go. Steigen Sie ein und beginnen Sie mit dem Schreiben von Code, der Daten aus der Cloud holt und sie in die Hände der Benutzer legt.

Ready, set, program with Go!Now is the perfect time to learn the Go Programming Language. It's one of the most in-demand languages among tech recruiters and developers love its simplicity and power. Go Programming Language For Dummies is an easy way to add this top job skill to your toolkit. Written for novice and experienced coders alike, this book traverses basic syntax, writing functions, organizing data, building packages, and interfacing with APIs.Go--or GoLang, as it's also known--has proven to be a strong choice for developers creating applications for the cloud-based world we live in. This book will put you on the path to using the language that's created some of today's leading web applications, so you can steer your career where you want to Go!* Learn how Go works and start writing programs and modules* Install and implement the most powerful third-party Go packages* Use Go in conjunction with web services and MySQL databases* Keep your codebase organized and use Go to structure dataWith this book, you can join the growing numbers of developers using Go to create 21st century solutions. Step inside to take start writing code that puts data in users' hands.

The simplest way to create world-class appsHave a unique app idea but worried you don't quite have the coding skills to build it? Good news: You can stop fretting about someone beating you to market with the same idea and start work right now using SwiftUI. SwiftUI is a gateway app development framework that has become one of the best ways for fledgling developers to get iOS apps off the ground without having to become a coding expert overnight.SwiftUI For Dummies makes that process even faster, providing a friendly introduction to the SwiftUI and Swift programming language and helping you feel right at home creating and building with playgrounds. The book also covers the frameworks and APIs that make it so easy to create smooth, intuitive interfaces--just dive right in and have fun!* Combine projects into workspaces* Employ Xcode editing tools* Use constants and variables* Test your code on iOS SimulatorTime is of the essence, and with SwiftUI For Dummies, it's also on your side. Get going with this friendly guide today, and you'll be celebrating the successful launch of your app way before you thought possible!

Python makes machine learning easy for beginners and experienced developersWith computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart--it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today.Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand.* Python data science--manipulating data and data visualization* Data cleansing* Understanding Machine learning algorithms* Supervised learning algorithms* Unsupervised learning algorithms* Deploying machine learning modelsPython Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.

MOST XML BOOKS in the market today fall into two main categories: They either focus just on the theoretical aspects of the language, or they contain everything related to XML and weigh more than five kilograms! When we first taught XML to beginners, we wanted to find a book that covered just enough ofXML without overwhelming them. We looked for a book that covered not just the fundamen- tals ofXML, but one that also contained the most importantXML-related technologies. Not only that, the book had to illustrate some of the practical uses ofXML in the real world. We.realized that we had to produce a book that targeted beginning to intermediate XML programmers. As trainers, we know the importance of a book that explains concepts clearly and contains concrete code examples illustrating the theory just explained. We carefully reviewed the various XML technologies and specifications that are available today, and in the end, we decided on the most common XML technologies in use today: XPath, XSLT, DOM, SAX, XML in SQL Server, WML, SOAP and XML Schema.

This handy reference provides a quick tour of the .NET compact framework and includes several working projects for getting productive straightaway.