Lectures on JavaScript and Node.js in KPI

Comrades engineers, as promised in the announcement , half of the lectures (and this is 51) are already available for viewing on YouTubeand I will continue to record them in 2019. Some of them will need to be re-recorded, because in the first lectures the sound is not the best and because I still haven't done very simple topics. It was better to come up with complex and relevant topics that I myself am more interested in telling. I would not say that this is a course for beginners; rather, this is a course for those who already know the syntax. During this time, many suggestions have been received on how to improve the way of presenting the material: divide into shorter lectures, prepare tasks for practical development, record seminars and answers to students' questions, add analysis of a number of controversial and holivar topics to the program. But not all at once, I already devote a third of my life to this.

Below are the topics of lectures with links, grouped by sections. The next 50 topics are already there and I will soon publish the schedule of lectures for 2019, but if anyone wants to request a topic, then offer in the comments.

Survey Lectures

• The approach to the study of programming (speech at the bottom of the Faculty of Computer Science KPI)
• Map Specialty Software Engineer

Basic course (22 lectures)

• Basic JavaScript syntax
• Basic JavaScript syntax, continued
• Environment Setup: Node.js, npm, git, eslint
• Functions, lambdas, contexts, closures
• Arrays, objects, classes, prototypes
• Composition, currying, partial application
• Higher order functions, callbacks, events
• Work with strings, templates and unicode
• Code Performance Measurement and Optimization
• Impurities, wrappers, decorators, memoization
• Collections, sets, hash tables
• Projection and display of datasets
• Data Structures: Lists, Stack, Queue, Deck
• Serialization and deserialization
• Using Proxy and Symbol
• Iteration, loops and iterators
• Function and object cheating, error handling
• Regular expressions and parsing
• Factories and object pools
• Typed Arrays
• Singleton Template (Singleton)
• Functional objects, functors and monads

Asynchronous programming (9 lectures)

• Asynchronous programming in Node.js
• Timers, Timeouts, EventEmitter
• Asynchronous functions async, await, thenable, error handling
• Asynchronous adapters: promisify, callbackify, asyncify ...
• Asynchronous data collectors
• Asynchronous programming on callback
• Non-blocking asynchronous iteration
• Asynchrony with async.js library
• Promis asynchrony

Architecture and paradigms (7 lectures)

• Architectural programming approach
• Modules, layers, project structure, sandboxes
• Inversion of management and dependency injection
• Layers, Connectivity, and Code Connectivity
• Data Access Layer, Cursor, Transaction
• Functional programming
• Reactive programming

Lectures on Node.js (11 lectures)

• Node.js Introduction to Technology
• Overview of the embedded Node.js API
• Client server on Node.js TCP and UDP, DNS
• Work with files, buffers and file streams
• Interprocess Communication in Node.js
• HTTP server on Node.js (routing, cluster, IP sticky)
• Console and command line
• High-load distributed applications on Node.js
• WebSocket server on Node.js (spreadsheets and chat)
• Monitoring the file system in Node.js
• Memory leaks, garbage collection and profiling