How to Learn All LL Algorithms in One Month

TLDRLearn all the last layer (LL) algorithms in just one month with a logical approach and the right routine. Discover the order to learn LL, how to practice them effectively, and easily schedule your learning within a month.

Key insights

📚Learning all LL algorithms is easier than you think with a logical approach and routine.

It is possible to learn all LL algorithms in just one month if practiced for about an hour a day.

💡Muscle memory is key to becoming faster at solving. Learning LL algorithms early helps develop this reflex.

✏️Grouping LL algorithms based on pattern and similarity provides a better overview and makes it less intimidating.

🗓️Using a schedule and learning algorithms in groups enhances learning efficiency and retention.

Q&A

Do I need to learn all LL algorithms within a month?

No, it is not necessary. Learning LL algorithms quickly is beneficial if your goal is to become faster at solving.

Why is it better to learn LL algorithms in groups?

Learning algorithms in groups improves overview, reveals similarities, and is more manageable than learning one at a time.

How do I practice LL algorithms effectively?

Use an online algorithm trainer tool to practice recognition and recall, focusing on developing muscle memory.

Can I change the order of learning algorithms?

Yes, you can customize the order according to your preferences. The provided schedule is a suggestion.

What if I already know some LL algorithms?

You can skip the algorithms you already know and focus on learning the remaining ones.

Timestamped Summary

00:00Learning all LL algorithms is easier than you think, with a logical approach and routine.

01:08Muscle memory and reflex are crucial for solving faster. Learning LL algorithms early helps develop this reflex.

02:18Grouping LL algorithms based on pattern and similarity provides a better overview and makes it less intimidating.

05:55Using an online algorithm trainer tool helps practice recognition and recall effectively.

07:23Learning algorithms in groups enhances learning efficiency and retention, following a suggested schedule.