Index

Introduction
1.1. Approach to learning programming
1.2. Examples in JavaScript, Python and C languages
1.3. Modeling: abstractions and reuse
1.4. Algorithm, program, syntax, language
1.5. Decomposition and separation of concerns
1.6. Software engineer speciality overview
1.7. Programming paradigms overview
Basic concepts
2.1. Value, identifier, variable and constant, literal, assignment
2.2. Data types, scalar, reference and structured types
2.3. Operator and expression, code block, function, loop, condition
2.4. Contexts and lexical scope
2.5. Procedural paradigm, call, stack and heap
2.6. Higher-order function, pure function, side effects
2.7. Closures, callbacks, wrappers, and events
2.8. Exceptions and error handling
2.9. Tasks
Application state, data structures and collections
3.1. Stateful and stateless approach
3.2. Structs and records
3.3. Array, list, set, tuple
3.4. Dictionary, hash table and associative array
3.5. Stack, queue, deque
3.6. Trees and Graphs
3.7. Dataset projections
3.8. Computational complexity estimation
Extended concepts
4.1. What is a technology stack
4.2. Development environment and debugging
4.3. Iterations: recursion, iterators, and generators
4.4. Application building blocks: files, modules, components
4.5. Object, prototype and class
4.6. Partial application and currying, pipe and compose
4.7. Chaining for methods and functions
4.8. Mixins
4.9. Dependencies and libraries
Widespread programming paradigms
5.1. Imperative and declarative approach
5.2. Structured and non-structured programming
5.3. Procedural programming
5.4. Functional programming
5.5. Object-oriented programming
5.6. Prototype-based programming
Antipatterns
6.1. Common antipatterns for all paradigms
6.2. Procedural antipatterns
6.3. Object-oriented antipatterns
6.4. Functional antipatterns
Development process
7.1. Software life cycle, subject domain analysis
7.2. Code conventions and standards
7.3. Testing: unittests, system and integration testing
7.4. Code review and refactoring
7.5. Resources estimation, development plan and schedule
7.6. Risks analysis, weaknesses, non-functional requirements
7.7. Coordination and adjustment of the process
7.8. Continuous deployment and delivery
7.9. Multi-aspect optimizations
Advanced concepts
8.1. Events, Timers and EventEmitter
8.2. Introspection and reflection
8.3. Serialization and deserialization
8.4. Regular expressions
8.5. Memoization
8.6. Factory and Poll
8.7. Typed arrays
8.8. Projections
8.9. I/O and Files
Architecture
9.1. Decomposition, naming and linking
9.2. Interaction between software components
9.3. Coupling with namespaces
9.4. Interaction with calls and callbacks
9.5. Interaction with events and messages
9.6. Interfaces, protocols and contracts
9.7. Onion aka multi-layer approach
Concurrent computing basics
10.1. Asynchronous programming
10.2. Parallel programming, shared memory and sync primitives
10.3. Async primitives: Thenable, Promise, Future, Deferred
10.4. Coroutines, goroutines, async/await
10.5. Adapters between asynchronous contracts
10.6. Asynchronous and parallel interoperability
10.7. Message passing approach and actor model
10.8. Asynchronous queue and async collections
10.8. Lock-free data structures
Advanced programming paradigms
11.1. Generic programming
11.2. Event-driven and reactive programming
11.3. Automata-based programming and state machines
11.4. Language-oriented programming and DSLs
11.5. Data-flow programming
11.6. Metaprogramming
11.7. Metamodel dynamic interpretation
Databases and persistent storage
12.1. History of databases and navigational databases
12.2. Key-value and other abstract data structures databases
12.3. Relational data model and ER-diagrams
12.4. Schemaless, object-oriented and document-oriented databases
12.5. Hierarchical and graph databases
12.6. Column databases and in-memory databases
12.7. Distributed databases
Distributed systems
13.1. Interprocess communication
13.2. Conflict-free replicated data types
13.3. Consistency, availability, and partition
13.4. Conflict resolution strategies
13.5. Consensus protocols
13.6. CQRS, EventSourcing

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