Understanding Time and Space Complexity in Algorithms | Big-O Notation Explained - DSA Course

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Welcome to this video on Time and Space Complexity! 🎓

Whether you're new to programming or looking to improve your understanding, this video will help you grasp these essential concepts to write more efficient and optimized code.

Using simple, easy-to-follow examples, we'll explain why time and space complexity are crucial for writing efficient programs. You'll learn what these terms mean and how they relate to the performance of your code.

Next, we'll explore Big-O Notation, explaining what it is and why it is essential for analyzing algorithms. Using practical examples, we'll guide you step-by-step through calculating time and space complexity for different types of code, from simple programs to more complex algorithms like binary search.

By the end of this video, you'll have a solid understanding of evaluating and improving your code's efficiency. This knowledge is essential for writing better programs, acing technical interviews, and solving algorithmic problems.

Key Topics Covered:
- Introduction to Time and Space Complexity: Learn why these concepts are crucial for writing efficient programs.
- Simple Examples: Understand the basics with easy-to-follow examples.
- Big-O Notation: Get a clear explanation of Big-O notation and its importance in analyzing algorithms.
- Calculation Methods: Step-by-step guide on calculating time and space complexity for your code.

Why Watch This Video?
- Boost Your Coding Skills: Master these fundamental concepts to write better, more efficient code.
- Ace Your Interviews: Understanding time and space complexity is key to solving algorithmic problems in technical interviews.
- Learn at Your Pace: Clear explanations and practical examples make complex topics easy to grasp.

0:00 Introduction: Time and Space Complexity
0:46 The problem of executing a program on different machines
1:27 Solution: Using the input size to analyze the time and space taken for execution
3:28 What is Big-O notation?
5:46 Big-O Notation: First example
6:11 Big-O Notation: Second example
8:00 How to Calculate Time and Space Complexity - First example
9:38 How to Calculate Time and Space Complexity - Second Example
11:02 How to Calculate Time and Space Complexity - Third Example - Binary Search
14:10 Summary

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Do you like this style and this topic?

francescociulla
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here are the timestamps for an easy navigation
0:00 Introduction: Time and Space Complexity
0:46 The problem of executing a program on different machines
1:27 Solution: Using the input size to analyze the time and space taken for execution
3:28 What is Big-O notation?
5:46 Big-O Notation: First example
6:11 Big-O Notation: Second example
8:00 How to Calculate Time and Space Complexity - First example
9:38 How to Calculate Time and Space Complexity - Second Example
11:02 How to Calculate Time and Space Complexity - Third Example - Binary Search
14:10 Summary

francescociulla
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The video is so good! Really content rich!

krishcodes
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Coincidentally, I'll be getting started with DSA soon. Thanks for this Francesco 🔥

_RITIK_
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Hello francesco i got to know about you from neeraj walia aka ezsnippt and since then i was following your videos quite long and it had gave me confidence in your teaching style even if you can't get one or two videos right i believe that next one will be great. This video was great so please keep this playlist continue 😊😊

sourabhsingh
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has been waiting this for a long time!

Thank you Fran :)

vijaykv
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not what i was expecting. i did like the video, as i want to learn maths and code it was pretty good; i am also interested in space and time, physics and maths - this is what i was expecting. I would love to see more maths in code please 👏👏

init_bobjames
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Great video mate and awesome level of detail as usual!

devboiagru
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This is such an awesome video Francesco! I'm really late but here are my pointers:

- the video is excellent
- but this felt less personal and human unlike the rust one, it felt very roboty ngl
- also this feels less like a course but a concept video because there's no pathway or anything I think
- the pacing of the concepts is epic
- explanation is really good

xkrishguptaa
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Please include some interview style problems so that one can get idea on how to approach problem in interview particularly in javascript. Overall your teaching style is excellent

washidfayaz
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Loved the video Francesco! 😍

I've had problem understanding these concepts esp the Big O Notation but your explanation was easy to grasp. The graphs you included was a nice addition!

Hope you will make more of these videos!

RitikaAgrawal
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Let's go. Great video, Francesco!

pradumnasaraf
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This is a good beginning. Using multiple examples and graphs is fantastic. I assume this is not for a complete beginner, but it can be a little simplified in my opinion. Overall a nice video. I hope to see more coming. 👍👍👍

ananymo
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I am so happy that you started this Fra 🥳🥳🥳🔥🔥🔥

aldrinseanpereira
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Please bring complete DSA along with leetcode question solving covering all the patterns. Use JavaScript or pseudo code please

ksubramanyeshwara
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In which language will you solve the dsa problem

Satyamkumar
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Please make playlist of Java backend springboot with sql

JSDEVD