Python Basic Syntax Study - 6-Week Completion (2nd Cohort)

[Course Overview] Becoming a Coding Test Success: Python Algorithm Master Course

Welcome! This course is a 6-week systematic study program designed to build all the technical skills necessary to pass coding tests, ranging from basic Python syntax to practical algorithm optimization techniques. Beyond simply solving problems, let's begin a journey to cultivate the ability to design "Pythonic code" and "efficient algorithms."

1. Learning Objectives

• Mastery of Core Python Syntax: Build a solid foundation in basics such as variables, operators, and control flow statements.

• Writing Pythonic Code: Master Python-specific syntax such as Zip, Enumerate, and Unpacking to enhance code readability and productivity.

• Algorithm Optimization (The Magic of $O(N)$): Master patterns for improving inefficient $O(N^2)$ logic to $O(N)$ using hashes and sets.

• Core Data Structures and Mathematics: Gain a complete understanding of frequently occurring coding test themes, such as stacks, queues, and primality testing.

• Performance Analysis and Debugging Capabilities: Directly measure time complexity and develop defensive coding habits to prevent common runtime errors.

2. Detailed Weekly Curriculum (Curriculum)

Week 1: The Beginning of Algorithms - Core Python Syntax

• Learning Objectives: Master the core syntax of Python, including variables, operators, and control statements.

• Key Concepts: Variable Types and Type Casting, Arithmetic/Comparison Operators, Conditional Statements (If-Elif-Else), Loops (For & Range), f-string Formatting, Basic List Operations (Append, Len)

Week 2: Pythonic Code - Utilizing Readability and Functionality

• Learning Objectives: Find the most 'Pythonic' solutions and master efficient loops and data processing methods

• Key Concepts: Zip mapping, Enumerate index finding, Join string concatenation, Ternary operator, Variadic unpacking (*), Map/Lambda batch conversion, Slicing Step, Set difference

Week 3: Maximizing Efficiency - Data Refinement and Optimization

• Learning Objectives: Reducing $O(N^2)$ to $O(N)$ by utilizing List Comprehension and Hash (Set/Dict) functions

• Key Concepts: List comprehension filtering, Zip & Unpacking for data grouping, duplicate removal and intersection checks using Sets, and frequency calculation with Dictionary/Counter

Week 4: Data Structure Basics - Order and Simulation

• Learning Objectives: Understanding the principles of Stack (LIFO) and Queue (FIFO) for sequential data processing and implementing simulations

• Key Concepts: Reversing strings and bracket matching using Stacks, Josephus problem (circular queue) using Deque, and printer queue simulation

Week 5: Powerful Tools and Mathematical Thinking

• Learning Objectives: Master custom sorting, advanced usage of Counter, and prime number determination algorithms.

• Key Concepts: Lambda-based custom sorting (multiple conditions), Counter for anagram detection, efficient primality testing ($\sqrt{N}$), Sieve of Eratosthenes

Week 6: Performance Optimization and Error Prevention

• Learning Objectives: Measuring actual time complexity and acquiring know-how to prevent frequent runtime errors

• Key Concepts: Comparison of search speeds between List vs Set, string concatenation optimization (Join vs +), resolving Shallow Copy issues, and techniques for safely deleting elements during list iteration

3. Communication Channels and Community

For successful learning, please communicate actively with your peers and support each other's growth.

• Inflearn Classroom Chatroom: If you get stuck or have questions while learning, feel free to leave them in the classroom chatroom at any time. You can learn the most by sharing your concerns with your peers.

• Course Reviews and Hearts: Your warm course reviews and hearts (likes) are a great source of strength in creating even better lecture content!

4. Author Introduction and Reference Materials

If you have any questions during your studies, please feel free to contact me through the channels below.

• Author Gyeongrok Park

  • LinkedIn: https://www.linkedin.com/in/ultrasuperrok/

  • Open Chat Room: https://open.kakao.com/o/gX0WnTCf

  • Email: ultrasuperrok@gmail.com

• Reference Lecture

  • Becoming a Coding Test Qualifier - Python Edition: https://inf.run/5dCCh

Instructor Comment: The process of creating "code that is better today than it was yesterday" will lead you to success. I sincerely support your intense efforts and growth. Now, shall we set off toward the first mission?