Python – Memory Efficiency

1. What is Memory Efficiency?

Memory efficiency means using less computer memory (RAM) while running a program.

In simple words:
👉 Program should not waste memory
👉 Program should run smoothly
👉 Important for big data and long programs

2. Why is Memory Efficiency Important?

Memory-efficient programs:
✔ Run faster
✔ Do not crash easily
✔ Handle big data
✔ Work well on low-RAM systems

3. List vs Generator (Very Important)

List – Uses More Memory

👉 All values are stored in memory.

Generator – Uses Less Memory

👉 Values are created one by one.

4. Using yield for Memory Saving

Example

👉 Generator gives one number at a time.

5. Using range() Instead of List

❌ Bad (Uses More Memory)

✅ Good (Memory Efficient)

6. Reading Large Files Efficiently

❌ Bad Way (Loads full file)

✅ Good Way (Line by Line)

7. Using Iterators Instead of Lists

Example

👉 Iterator keeps only one value in memory.

8. Avoid Unnecessary Variables

❌ Bad

✅ Better

9. Delete Unused Objects

Example

👉 Frees memory.

10. Use Built-in Functions (Optimized)

Example

👉 Built-in functions are faster and memory-friendly.

11. Use set Instead of list for Lookup

❌ List (Slower)

✅ Set (Faster & Efficient)

12. Use __slots__ in Classes (Advanced)

Example

👉 Saves memory for many objects.

13. Memory Efficient Looping

Example

👉 No extra memory used.

14. Common Beginner Mistakes

❌ Using lists for very large data
❌ Reading full files at once
❌ Creating too many variables
❌ Ignoring generators

15. Simple Practice Examples

Example 1: Squares (Generator)

Example 2: Efficient File Read

Example 3: Iterator Use

16. Summary (Python Memory Efficiency)

✔ Use generators instead of lists
✔ Read files line by line
✔ Use range() wisely
✔ Delete unused objects
✔ Write smart, clean code

📘 Perfect for Intermediate & Advanced eBook

This chapter is ideal for:

• Python learners

• Performance-focused coding

• Handling big data

• Writing professional programs

If you want next, I can write:

• Python Performance Tips

• Time Complexity (Easy)

• Memory vs Speed Comparison

• Advanced Python Optimization

Just tell me 😊