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Python Algorithms & Data Structures

Python for Everybody

READ
/ REVISIT
PlatformCourseraInstructorCharles SeveranceLevelbeginnerLoggedDuration12 weeks

Python Fundamentals Review

Data Types

  • Numbers: integers, floats, complex
  • Strings: operations, methods, formatting
  • Lists: indexing, slicing, methods
  • Dictionaries: key-value pairs, operations
  • Tuples: immutable sequences
  • Sets: unique elements, operations

Control Flow

  • Conditional statements (if/elif/else)
  • Loops (for, while)
  • Exception handling
  • List comprehensions

Algorithms & Data Structures

1. Sorting Algorithms

  • Bubble Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort

2. Data Structures

  • Arrays and Lists
  • Stacks and Queues
  • Linked Lists
  • Trees and Graphs
  • Hash Tables

3. Searching Algorithms

  • Linear Search
  • Binary Search
  • Depth-First Search
  • Breadth-First Search

Project: Web Scraping

Built a web scraper using:

  • BeautifulSoup
  • Requests library
  • Pandas for data analysis
  • CSV export functionality

Key Components

  1. HTTP requests
  2. HTML parsing
  3. Data extraction
  4. Data cleaning
  5. Storage and analysis

Best Practices

  • Write clean, readable code
  • Use meaningful variable names
  • Add comments and documentation
  • Test your code
  • Version control with Git