Lahat ng mga code ko simula first year eyyyy, bahala na wala na akong maisip na katuloy netong description
int year = 1;
System.out.println("sana kayanin ko pa hanggang fourth year eyyy(⌐▨_▨)");
Important
The course provides with an overview of the fundamentals of programming discussing the basic terminologies used and concepts particular with the Java Programming Language. This course also highlights the different concepts of Java Programming such as Constants, Variables, Data, Arithmetic operations, input and output, decisions and looping structures, and arrays and methods.
Concept | Description | Example |
---|---|---|
Constants | Fixed values that don't change during program execution. | final int MAX_SIZE = 100; |
Variables | Storage locations with a unique identifier and a value. | int count = 0; |
Arithmetic Operations | Mathematical operations like addition, subtraction, etc. | int sum = a + b; |
Input and Output | Reading from and writing to external sources (e.g., console). | Scanner scanner = new Scanner(System.in); |
Decisions (if-else statements) | Conditional statements for making decisions in code. | java if (x > 0) { // do something } else { // do something else } |
Loops (for, while, do-while) | Repeated execution of a block of code based on a condition. | java for (int i = 0; i < 5; i++) { // do something } |
String Manipulation (String methods) | Operations on strings, like concatenation, substring, etc. | String result = str1.concat(str2); |
StringBuilders | Mutable class for efficient string manipulation. | StringBuilder sb = new StringBuilder(); |
Arrays | Ordered collection of elements with a common data type. | int[] numbers = {1, 2, 3, 4, 5}; |
Java methods | Blocks of code that perform a specific task. | java public int add(int a, int b) { return a + b; } |
Important
The course covers a wide array of Python programming topics, including loops, strings, control structures, lists, functions, sets, tuples, exception handling, and Python libraries. After completion, students are expected to demonstrate proficiency in Python programming, syntax, input/output functions, string manipulation, control structures, and essential data structures. Additionally, they should exhibit skills in iteration, function creation, Object-Oriented Programming (OOP), introductory data visualization with Pandas, and practical use of the NumPy library for handling large arrays and mathematical operations.