# Day 1 – Before DSA, Let’s Rewind Python

Today marks the beginning of this journey not just for me, but hopefully for *us*.

Before jumping straight into Data Structures and Algorithms (DSA), I took a step back and did something *very* important:  
I **recalled the essential Python concepts** that form the base for learning DSA effectively.

Because what’s the point of learning DSA in Python… if we can’t write good Python?

### What I Revisited Today:

Here’s a quick rundown of the Python topics I brushed up on:

* Variables and Data Types (int, float, string, list, tuple, dict, set)
    
* Conditional Statements (`if`, `elif`, `else`)
    
* Loops (`for`, `while`)
    
* Functions (parameters, return values)
    
* Lists and basic operations (append, remove, slicing)
    
* Dictionaries and sets
    
* String operations
    
* Basic input/output
    
* List comprehensions (super useful later in DSA)
    

### Why This Matters

These concepts are the *tools* we’ll use every day while solving DSA problems.  
DSA isn’t just about logic it’s about writing that logic clearly, efficiently, and in a way Python understands.

So today was all about **setting the foundation**.

### What’s Next?

From **tomorrow**, we’ll begin diving into DSA topics starting with:  
**Arrays and Lists** (Yes, even though Python doesn't have "arrays" like C/C++, we’ll explore how lists serve that purpose and go beyond!)

If you’re joining me on this journey, now’s a great time to revisit your Python basics too.  
Let’s make sure we’re sharp and ready to go.

See you tomorrow with Day 2. Let’s explore DSA together