Lua Training Courses

Lua Training

Lua Programming Language courses

Lua Course Outlines

Code Name Duration Overview
luacomp Comprehensive Lua 21 hours Lua is an easy to use scripting language that is used as an embedded plugin/extension language in different products. For example it is the embedded scripting language of network applications like nmap and wireshark, and can also be found as a scripting language in World of Warcraft, Orbiter and other games. Lua can also be used as a standalone language. It is a lightweight, multi-paradigm programming language and therefore the course teaches various concepts that students will find useful in other areas of software engineering as well. This course covers everything out there to know about Lua. We build up from the basic programming constructs, learn about advanced techniques and finally talk about embedding of Lua into other programming languages and embedding other programming languages into Lua. The course contains a lot of programming exercises, so that newcomers can gain proficiency with the language, starting from scratch. Introduction to Lua A bit of history Lua's goals, features and non-goals Resources of Lua documentation and tutorials Installing the Lua interpreter Setting up and using LuaRocks Basic syntax and semantics Identifiers Comments, block comments Global variables and enforcing of strictness Local variables Standalone programs, program arguments Compilation units, chunks, expressions, semicolons Data types and data structures Basic types: nil, boolean, number, string Object types: function, userdata, thread, table References/objects vs. basic values The importance of tables in Lua Introduction to tables and their versatility Tables as an associative array Tables as numeric arrays, sequences Basic control structures The if then elseif else end The while loop The repeat loop The simple for loop Error handling Return values vs exceptions Converting a return value to an exception Converting an exception to a return value Error levels Example programs Polynomial evaluation Breadth first search Additional exercises More about functions Named arguments Object-oriented calls Closures Currying Tail calls Multiple assignment and return Varargs Iterators and co-routines The generic for loop Stateless vs stateful iterators Differences between iterators and co-routines Metatables and metamethods The set example The __tostring metamethod Arithmetic metamethods The __index, __newindex metamethods The __len metamethod Modules and packages Using modules Creating modules Organizing modules into packages Advanced tables Tables for queues and stacks Tables describing graphs Matrices as tables Linked lists as tables String buffers Metatables through examples Proxies Readonly Memoization Dynamic programming with memoization The Fibonacci example Environments Relationship between global variables and environments Free variables The _ENV table and the _G table More about modules Different approaches to creating modules Modules that change the behavior Module initialization and arguments Using environments to implement safe modules Advanced iterators and co-routines Producer, consumer, filter Wrapping co-routines to get iterators Stateless iterator for linked lists Contributing to the Ecosystem Uploading packages to MoonRocks Functional paradigm in Lua The map function The reduce / fold function Object-oriented Programming Different approaches to OOP Different approaches to inheritance Examples A walkthrough of the Lua Standard Libraries Compilation Compilation Eval Relationship with the environment Binary chunks Garbage collection Weak tables Finalizers, the __gc meta-method Lua bytecode and virtual machine Generating bytecode from source code Reading and analyzing bytecode Quick tour of the source code of the Lua VM C modules Calling C from Lua Search path and loading of C modules Calling Lua from C The Stack Error handling Continuations Handling Lua values and types from C Arrays Strings Userdata Metatables Object oriented calls Light userdata Memory management Allocators GC API Threads in Lua Co-routines vs threads Real multi-threading and Lua states
Torch Torch: Getting started with Machine and Deep Learning 21 hours Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and Deep Learning and is used by companies such as Facebook, Google, Twitter, NVIDIA, AMD, Intel, and many others. In this course we cover the principles of Torch, its unique features, and how it can be applied in real-world applications. We step through numerous hands-on exercises all throughout, demonstrating and practicing the concepts learned. By the end of the course, participants will have a thorough understanding of Torch's underlying features and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received the necessary practice to implement Torch in their own projects. Audience     Software developers and programmers wishing to enable Machine and Deep Learning within their applications Format of the course     Overview of Machine and Deep Learning     In-class coding and integration exercises     Test questions sprinkled along the way to check understanding Introduction to Torch     Like NumPy but with CPU and GPU implementation     Torch's usage in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking Installing Torch     Linux, Windows, Mac     Bitmapi and Docker Installing Torch packages     Using the LuaRocks package manager Choosing an IDE for Torch     ZeroBrane Studio     Eclipse plugin for Lua Working with the Lua scripting language and LuaJIT     Lua's integration with C/C++     Lua syntax: datatypes, loops and conditionals, functions, functions, tables, and file i/o.     Object orientation and serialization in Torch     Coding exercise Loading a dataset in Torch     MNIST     CIFAR-10, CIFAR-100     Imagenet Machine Learning in Torch     Deep Learning         Manual feature extraction vs convolutional networks     Supervised and Unsupervised Learning         Building a neural network with Torch         N-dimensional arrays Image analysis with Torch     Image package     The Tensor library Working with the REPL interpreter Working with databases Networking and Torch GPU support in Torch Integrating Torch     C, Python, and others Embedding Torch     iOS and Android Other frameworks and libraries     Facebook's optimized deep-learning modules and containers Creating your own package Testing and debugging Releasing your application The future of AI and Torch
openresty OpenResty 7 hours OpenResty is a full-fledged web platform that integrates Nginx, LuaJIT and Lua libraries. It allows for the construction of high-performance web applications capable of handling 10K ~ 1000K+ connections in a single box. OpenResty is used by Alibaba, CloudFlare, and Tumblr, among others. In this instructor-led, live training, participants will learn how to use OpenResty to build a number of demo solutions, including a web application, web service, and a dynamic web gateway. By the end of this training, participants will be able to: Turn an nginx web server into a web application server Use the Lua programming language to script nginx C modules and Lua modules Run server-side web applications completely inside the Nginx server Integrate OpenResty with remote backends such as MySQL, PostgreSQL, Memcached, and Redis Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.

Upco...Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Comprehensive Lua - DubaiMon, 2018-01-22 09:304800USD / 6750USD

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