PYTHON Beginner KOSTENLOSER TRACK ~18 Std +350 XP-Belohnung

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.

Lehrplan und ModuleSilabus & 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 UnterrichtPelajaran

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

Theory 15 Min

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

Interactive code 20 Min

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

Theory 15 Min

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

Interactive code 20 Min

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 UnterrichtPelajaran

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

Theory 15 Min

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

Theory 15 Min

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

Theory 15 Min

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 UnterrichtPelajaran

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

Lab 60 Min Isoliertes Labor

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

Lab 60 Min Isoliertes Labor

3.3 MergeSort Inversion Counter Lab 3.3 Lab Penghitung Inversi MergeSort

Lab 60 Min Isoliertes Labor

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

Lab 60 Min Isoliertes Labor

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

Lab 60 Min Isoliertes Labor