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Coding all-in-one / by Nikhil Abraham, Andy Harris, Eva Holland, Joris Meys, Luca Massaron, Chris Minnick, John Paul Mueller, and Andrie de Vries.

By: Abraham, Nikhil [author.].
Contributor(s): Harris, Andrew, 1964- [author.] | Holland, Eva [author.] | Meys, Joris [author.] | Massaron, Luca [author.] | Minnick, Chris [author.] | Mueller, John, 1958- [author.] | De Vries, Andrie [author.].
Material type: TextTextSeries: Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., 2017Description: xxi, 755 pages : illustrations ; 24 cm.ISBN: 9781119363026.Other title: Coding all-in-one for dummies.Subject(s): Computer programming | Application software -- Design | Computer programming | Internet softwareDDC classification: 005.1
Contents:
Getting started with coding. What is coding? ; Programming for the web ; Becoming a programmer -- Career building with coding. Exploring coding career paths ; Exploring undergraduate and graduate degrees ; Training on the job ; Coding career myths -- Basic web coding. Exploring basic HTML ; Getting more out of HTML ; Getting stylish with CSS ; Next steps with CSS ; Building floating page layouts ; Using alternative positioning -- Advanced web coding. Working faster with Twitter bootstrap ; Adding in JavaScript ; Understanding callbacks and closures ; Embracing AJAX and JSON ; jQuery -- Creating web applications. Building your own app ; Researching your first web application ; Coding and debugging your first web application -- Selecting data analysis tools. Wrapping your head around Python ; Installing a Python distribution ; Working with real data -- Evaluating data. Conditioning your data ; Shaping data ; Getting a crash course in MatPlotLib ; Visualizing the data ; Exploring data analysis ; Exploring four simple and effective algorithms -- Essentials of machine learning. Introducing how machines learn ; Demystifying the math behind machine learning ; Descending the right curve ; Validating machine learning -- Applying machine learning. Starting with simple learner ; Leveraging similarity ; Hitting complexity with neural networks ; Resorting to ensembles of learners ; Real-world applications.
Summary: Gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces the languages and processes you'll need to know. Peek inside to quickly learn the basics of simple web languages, then move on to start thinking like a professional coder and using languages that power big applications. Take a look inside for the steps to get started with updating a website, creating the next great mobile app, or exploring the world of data science. Whether you're looking for a complete beginner's guide or a trusted resource for when you encounter problems with coding, there's something for you! --Publisher's description.
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Item type Home library Call number Status Date due Barcode Item holds
Book Book KCST Library
005.1 Ab Co (Browse shelf) Available 1000000028
Total holds: 0

Includes index.

Getting started with coding. What is coding? ; Programming for the web ; Becoming a programmer -- Career building with coding. Exploring coding career paths ; Exploring undergraduate and graduate degrees ; Training on the job ; Coding career myths -- Basic web coding. Exploring basic HTML ; Getting more out of HTML ; Getting stylish with CSS ; Next steps with CSS ; Building floating page layouts ; Using alternative positioning -- Advanced web coding. Working faster with Twitter bootstrap ; Adding in JavaScript ; Understanding callbacks and closures ; Embracing AJAX and JSON ; jQuery -- Creating web applications. Building your own app ; Researching your first web application ; Coding and debugging your first web application -- Selecting data analysis tools. Wrapping your head around Python ; Installing a Python distribution ; Working with real data -- Evaluating data. Conditioning your data ; Shaping data ; Getting a crash course in MatPlotLib ; Visualizing the data ; Exploring data analysis ; Exploring four simple and effective algorithms -- Essentials of machine learning. Introducing how machines learn ; Demystifying the math behind machine learning ; Descending the right curve ; Validating machine learning -- Applying machine learning. Starting with simple learner ; Leveraging similarity ; Hitting complexity with neural networks ; Resorting to ensembles of learners ; Real-world applications.

Gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces the languages and processes you'll need to know. Peek inside to quickly learn the basics of simple web languages, then move on to start thinking like a professional coder and using languages that power big applications. Take a look inside for the steps to get started with updating a website, creating the next great mobile app, or exploring the world of data science. Whether you're looking for a complete beginner's guide or a trusted resource for when you encounter problems with coding, there's something for you! --Publisher's description.

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