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Lokesh Keswani
Lokesh Keswani

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🐍 Top 51 Python Tasks Every Beginner Should Solve

#programming #beginners #python #learning

“If it feels too hard, you’re probably learning.”

You’ve learned Python syntax. You know how for loops work. You’ve printed “Hello, World.”
Now it’s time to go beyond the basics — these 51 tasks will challenge everything you think you know.

These are not ordinary beginner problems. They require logic, creativity, and persistence. But if you can solve even 20 of them, you're already ahead of most beginners.
Not ordinary

🚀 What You’ll Build:

  • Smart algorithms
  • Real-world logic
  • Thinking like a software engineer
  • Debugging, planning, and learning to fail forward

🧠 51 Python Tasks Every Beginner Should Try to Solve

🔢 Numbers, Loops & Math

num,loop

  1. Reverse an integer without converting to string
  2. Find all Armstrong numbers in a given range
  3. Implement integer square root without using sqrt()
  4. Check if a number is a power of 2 (bitwise preferred)
  5. Create a function to find the next prime after N
  6. Find the number of trailing zeroes in a factorial
  7. Sum numbers from 1 to N without using loops
  8. Generate Pascal’s Triangle up to N rows
  9. Check if two numbers are coprime
  10. Convert a number to words (e.g., 123 → “One Hundred Twenty Three”)

🔠 Strings & Character Challenges

  1. Implement your own strip() function
  2. Compress a string using run-length encoding
  3. Find the longest non-repeating substring
  4. Detect if a string is a rotation of another
  5. Remove duplicate letters but preserve order
  6. Count number of palindromic substrings in a string
  7. Check if a word can be rearranged to form a palindrome
  8. Create a Caesar Cipher encoder/decoder
  9. Implement basic regex pattern matching (e.g., “a*b”)
  10. Write a function to justify text to width N

📦 Lists & Nested Data

  1. Rotate a list left/right by K elements
  2. Flatten an arbitrarily nested list (depth unknown)
  3. Find the longest increasing subsequence
  4. Split list into all possible pairs of two lists with equal sum
  5. Find all sublists with a target sum
  6. Return the majority element if it exists
  7. Remove duplicates in-place without using sets
  8. Transpose a matrix without using NumPy
  9. Generate all permutations of a list
  10. Build a histogram from list data using only text characters

🧱 Dictionaries & Data Maps

  1. Group words that are anagrams
  2. Count frequency of bigrams in a text (pairs of words)
  3. Invert a dictionary with duplicate values
  4. Track running average with a dictionary of lists
  5. Build a prefix frequency counter for a list of strings
  6. Create a leaderboard system using nested dictionaries
  7. Map word lengths to word lists (from a sentence)
  8. Build a function that detects plagiarism based on word frequency
  9. Simulate a voting system and determine winner(s)
  10. Design a basic cache with dictionary (FIFO or LRU logic)

🧠 Functions, Recursion & Logic

  1. Solve the Tower of Hanoi problem for N disks
  2. Write your own version of map() using functions
  3. Build a mini calculator using a function dispatcher dictionary
  4. Count total number of function calls in a recursive Fibonacci function
  5. Generate all valid parentheses combinations for N pairs
  6. Write a recursive function to count paths in a grid (m x n)
  7. Design a custom sorting function for sorting mixed data
  8. Write a function to calculate prime factorization recursively
  9. Validate Sudoku board using only Python built-ins
  10. Simulate a die roll 1 million times and return frequency distribution

💀 Final Challenge

final boss

  1. Build a console-based password manager
  • Must store encrypted passwords, verify master key, and allow CRUD operations via menu.

🧩 How to Use This List

Step Action
1️⃣ Attempt one per day. Google only after trying hard.
2️⃣ Write clean, reusable functions.
3️⃣ Share on GitHub and explain your logic in README.
4️⃣ Compare with how others solve it.
5️⃣ Try refactoring and improving performance.

🎯 Why You Should Push Through

  • These challenges simulate real-world dev work
  • You’ll build true confidence — not copy-paste skills
  • You’ll master thinking in Python, not just writing it
  • You'll separate yourself from other beginners by learning to struggle well

Follow for more Python-focused dev challenges, deep dives, and beginner-to-pro dev tips.
🔖 Bookmark this list — it's a rite of passage for every Python developer.

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