PYTHON Beginner FREE TRACK ~18 Hours +350 XP Reward

Python Algorithms & Problem Solving Fundamentals Fundamental Algoritma & Pemecahan Masalah Python

Build rock-solid algorithmic problem-solving intuition with step-by-step visualizations, time complexity breakdowns, and practical coding challenges in Python 3. Bangun intuisi pemecahan masalah algoritmik yang kokoh dengan visualisasi bertahap, analisis kompleksitas waktu, dan tantangan coding terstruktur di Python 3.

Course Syllabus & ModulesSilabus & Modul Kursus

Module 1: Complexity, Arrays & Two-Pointer Strategies Modul 1: Kompleksitas, Array & Strategi Two-Pointer

Time/space complexity, Big-O intuition, two-pointer techniques, and recursion fundamentals. Kompleksitas waktu/ruang, intuisi Big-O, teknik two-pointer, dan dasar rekursi.

4 LessonsPelajaran

1.1 Time & Space Complexity: Big-O Intuition 1.1 Kompleksitas Waktu & Ruang: Intuisi Notasi Big-O

Theory 15 mins

1.2 Two-Sum Sorted Array Challenge 1.2 Tantangan Two-Sum pada Array Terurut

Interactive code 20 mins

1.3 Recursion Fundamentals & Call Stack Tracing 1.3 Fundamental Rekursi & Pelacakan Call Stack

Theory 15 mins

1.4 Palindrome & Anagram Verifier Challenge 1.4 Tantangan Verifikator Palindrom & Anagram

Interactive code 20 mins

Module 2: Sorting, Searching & Classic Data Structures Modul 2: Pengurutan, Pencarian & Struktur Data Klasik

Binary search, comparison sorts, stacks, queues, and dictionary hash lookups. Binary search, perbandingan sorting MergeSort/QuickSort, stack, queue, dan hash map.

3 LessonsPelajaran

2.1 Binary Search & Logarithmic Partitioning 2.1 Binary Search & Partisi Logaritmik

Theory 15 mins

2.2 Sorting Algorithms: QuickSort vs MergeSort 2.2 Algoritma Pengurutan: QuickSort vs MergeSort

Theory 15 mins

2.3 Stacks, Queues & Hash Maps in Problem Solving 2.3 Stack, Queue & Hash Map dalam Pemecahan Masalah

Theory 15 mins

Module 3: Algorithm & Data Structure Cloud Labs Modul 3: Lab Cloud Algoritma & Struktur Data

Building custom stack parsers, binary search engines, merge sort counters, and LRU caches. Membangun parser stack, binary search matriks 2D, penghitung inversi merge sort, dan cache LRU.

5 LessonsPelajaran

3.1 Custom Stack & Valid Parentheses Parser Lab 3.1 Lab Parser Tanda Kurung Valid Berbasis Stack

Lab 60 mins Isolated Lab

3.2 Binary Search Matrix Lookup Engine Lab 3.2 Lab Engine Pencarian Binary Search Matriks 2D

Lab 60 mins Isolated Lab

3.3 MergeSort Inversion Counter Lab 3.3 Lab Penghitung Inversi MergeSort

Lab 60 mins Isolated Lab

3.4 LRU Cache Simulator Lab 3.4 Lab Simulator Cache LRU (Least Recently Used)

Lab 60 mins Isolated Lab

3.5 Graph Breadth-First Search (BFS) Shortest Path Lab 3.5 Lab Jalur Terpendek Breadth-First Search (BFS) Graf

Lab 60 mins Isolated Lab