Challenges!

Personal Coding Challenges & Scripts

This repository is a personal collection of Python scripts, serving as a log of my solutions to various online coding challenges, algorithm practice, and miscellaneous automation tools. The code within represents a journey through different problems and platforms, showcasing a variety of problem-solving techniques.

Most of this code is very outdated as it was written in my freshman year in college

Contents Overview

The repository is broadly organized into several categories based on the source of the challenges or the purpose of the script.

Codewars Solutions

This section contains solutions to problems from Codewars, categorized by their difficulty level (Kyu).

• 1 Kyu: Sliding_Puzzle_Solver.py, Faberge_easter_eggs_crush_test_[linear].py
• 3 Kyu: The_Millionth_Fibonacci_Kata.py, Last_digit_of_a_huge_number.py, Binomial_expansion.py
• 4 Kyu: TCP_finite_state_machine.py, Recover_secret_string.py, The_observed_pin.py
• 5-7 Kyu: A variety of solutions covering fundamental algorithms and data structures.

Python Challenge Solutions

Solutions for the puzzles from the classic Python Challenge.

• Scripts are named python_challenge_X.py, corresponding to the level number.
• These challenges often involve web requests, image manipulation, and creative problem-solving.

Web Scraping & Automation

A collection of scripts designed to automate tasks, interact with websites, or extract data.

• Automated_eclass_login.py: A Selenium script to log into the Upnet e-class platform.
• play_music_youtube.py: Searches and plays the first result for a song on YouTube using Selenium.
• send_fb_message.py: An experimental script to automate sending messages on Facebook.
• simple_link_get.py: A simple script using requests and regex to extract all links from a webpage.

Data Science & Algorithms

Implementations of various algorithms and data science concepts.

• TOP-K_Most_Similar_Documents.py: Calculates and ranks document similarity using cosine similarity.
• neural_test.py: An experimental implementation of a simple neural network and text preprocessing using pandas and nltk.
• cluster_hierarchy.py: Uses scipy and matplotlib to generate and display a dendrogram for hierarchical clustering.
• Pancake_sort.py: An implementation of the pancake sorting algorithm.

Hacking & CTF Challenges

Scripts written to solve challenges from platforms like HackThis!!.

• Hack_this_captcha1.py: Uses pytesseract for OCR to attempt to solve a CAPTCHA challenge.
• Hack_this_coding_1.py: Solves a coding challenge by sorting a list of words.

Miscellaneous Scripts

A variety of other utility scripts and practice problems.

• Roman_to_number.py: A script to convert Roman numerals to integers.
• move_files.py: A utility to organize files into a specified folder.
• word_counter.py: A simple script to count words in a text file.

Technologies Used

• Primary Language: Python 3
• Libraries:
  • requests for HTTP requests
  • selenium for browser automation
  • numpy & pandas for data manipulation
  • scikit-learn & nltk for machine learning and NLP
  • Pillow (PIL) for image processing
  • pytesseract for optical character recognition (OCR)
  • matplotlib for plotting

Codewars

• Codewars challenges