🧵 Master Python Strings with M.A.G.I.C.S. Strings are immutable sequences of characters. They are the most common data type you will encounter in Python. The Golden Rule: You cannot change a string in place. Every time you “modify” a string (like upper-casing or replacing), Python actually creates a brand new string for you. The Framework … Read more
💎 Master Python Priority Queues with M.A.G.I.C.S. A standard Queue is a line where you wait your turn. A Priority Queue is a VIP club. It doesn’t matter when you arrived; if you have the “Smallest Number” (Highest Priority), you cut the line and go straight to the front. In Python, we use the heapq … Read more
🚶 Master Python Queues with M.A.G.I.C.S. A Queue is a linear data structure that follows the FIFO (First-In, First-Out) principle. Think of a line at a coffee shop: the first person to join the line is the first person to get served. Crucial Warning: Never use a standard List [] for a Queue! Removing items … Read more
📚 Master Python Stacks with M.A.G.I.C.S. A Stack is a linear data structure that follows the LIFO (Last-In, First-Out) principle. Think of a stack of plates: the last plate you put on top is the first one you must take off. In Python, we don’t need a special library for this. We simply use a … Read more
📖 Master Python Dictionaries with M.A.G.I.C.S. Dictionaries (Hash Maps) are the “Heavyweight Champions” of Python data structures. They are used everywhere: from JSON APIs to databases and data science. If a List is a bookshelf where you find books by number (Index), a Dictionary is a real dictionary where you find definitions (Values) by looking … Read more
🔮 Master Python Sets with M.A.G.I.C.S. Sets are the “Bouncers” of Python data structures. They are unordered, unindexed, and forbid duplicates. If you try to add the same item twice, the Set will simply ignore it. Because Sets are unique, the M.A.G.I.C.S. framework has a special “Superpower” section for Math. The Framework Letter Category Status … Read more