Learn Java Data Types, Type Semantics, Object Model & Data Representation

Kaufman skill map untuk menguasai Java data types secara advanced: tipe sebagai constraint, invariant, boundary, dan alat desain sistem enterprise.

Mental model Java type system: static type, strong typing, primitive/reference, null type, expression type, runtime class, subtype, assignability, dan target type.

Pendalaman value, variable, object identity, reference value, aliasing, pass-by-value, lifetime, reachability, null, dan failure mode desain data di Java.

Pendalaman primitive types Java: boolean, integral, floating-point, char, default values, ranges, literals, promotion dasar, overflow, dan implikasi domain modeling.

Deep dive integral numbers Java: byte, short, int, long, char, two's complement, overflow, unsigned APIs, bit operations, dan boundary modeling.

Deep dive Java floating point: float, double, IEEE 754, rounding, NaN, infinity, signed zero, comparison, determinism, strictfp, Math vs StrictMath, dan domain modeling.

Boolean logic, truth semantics, domain flags, tri-state pitfalls, predicate design, and safer decision modeling in enterprise Java systems.

Literals, constants, compile-time constant expressions, constant variables, constant folding, narrowing, switch/annotation constraints, and binary compatibility risks.

Reference types, object identity, reference values, null, aliasing, object lifetime, array/reference semantics, and production-grade mental models for Java object behavior.

java.lang.Object, equals/hashCode/toString contracts, identity vs logical equality, collection correctness, diagnostics, and production failure modes.

Class as data shape, invariant owner, behavior boundary, construction protocol, mutability control, and enterprise modeling unit.

Interface as capability type, behavioral contract, polymorphic boundary, default method evolution, sealed interfaces, and enterprise API design.

Record classes as transparent nominal data carriers, component-based equality, canonical construction, shallow immutability, invariants, DTO/value-object boundaries, and enterprise modeling trade-offs.

Enum classes as closed domain models, finite state sets, identity semantics, behavior-rich constants, EnumMap/EnumSet, compatibility, persistence/API representation, and production failure modes.

Arrays as reified mutable reference types, covariance risks, primitive vs reference arrays, runtime component type, defensive boundaries, copying, equality, varargs, generics interaction, and production failure modes.

Boxing, unboxing, wrapper classes, primitive-wrapper conversion contexts, wrapper identity traps, Integer cache, null unboxing failures, overload surprises, allocation cost, collection boundaries, and API design guidance.

Conversion contexts, widening and narrowing conversions, boxing and unboxing interaction, casting rules, reference casts, unchecked conversion, string conversion, testing contexts, and production-grade API design guidance.

Numeric promotion, unary and binary numeric contexts, compound assignment, integer division, char arithmetic, shift operators, conditional expressions, overload resolution phases, most-specific method selection, and surprising Java expressions.