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  • - With Examples in Python, Solidity, and JavaScript
    av Wei-Meng Lee
    816,-

    Beginning-Intermediate user level

  • av Wei-Meng Lee
    130,-

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

  • av Wei-Meng Lee
    466,-

    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.

  • av Wei-Meng Lee & Soo Mee Foo
    696,-

    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.

  • av Wei-Meng Lee
    410,-

    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.

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