OOPs in Python | Object Oriented Programming - Class & Object | Python Tutorial in Hindi 20

OOPs with examples - 20

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⭐Content⭐
✅ 00:00 OOPs In Python
✅ 01:41 OOPs with Example
✅ 07:48 OOPs Implementation
✅ 15:06 OOPs Advantages
✅ 16:11 Create Class and Object
✅ 37:52 OOPs Operations
✅ 44:04 OOPs Summary
✅ 45:02 OOPs Questions
✅ 46:24 OOPs Features
✅ 47:00 Abstraction
✅ 51:25 Encapsulation
✅ 58:13 Inheritance
✅ 1:12:46 Polymorphism
✅ 1:20:40 OOPs Notes

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Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye! :)

Keep learning n Keep Growing 🚀

[dilipshah]

Bro, the way you teach is next level. You created the problems and then show us what python has solution for it, rather than just introducing new topic. This practical style really helps us understand deeply and remember for a long time. Honestly, you should be a psychologist too as you really know how people learn. Keep doing your thing!

[hindustanibhai]

Watched complete video. This is the easiest and simplest explanation. You're a legend 🔥

[pradip_]

sir mai apna college se pdd raha tha jbb se lekin vaha oops ko itna deeply nahi apne....i love your teaching method...and mai apke lecture 1 se end tkk jarur dekhunga..🥰💞❣

[DeepRelaxation]

Watched the whole thing. That is the simplest explanation I've seen. You're a legend, man!

[seeratfatima]

Itne kum time me itna acha explain Kya or easy kr k fit hogaya dimagh me asa talent har kici k pas nh hota behatreen zbrdst ❤

[priyankagupta]

After watching 3 or 4 videos I understood this topic from your video, you explained it in a very simple way.Thank you sir

[HussainmughalMughal]

love from pakistan. love ur teaching style. watched it completely, till 4 days for multiple times. love u bro

[alfasams]

Rishabh is the best. He explains in detail and careful where students get confused and explains in with great clarity. Thank you

[shaziabanu]

this is the simplest explanation tht i hv ever seen and easy to understand without any confusion
thx rishab

[Gojosaturol]

Sir could you please create videos on the following topics?

How to Present Insights Using Dashboards
A step-by-step guide on creating and delivering impactful presentations using different types of dashboards would be really helpful. Please do it in english.

The Day-to-Day Workflow of a Data Analyst
It would be great to see a video on how data analysts work from start to finish—how they collect, process, and analyze data, how they prepare for meetings, and when they present their findings. For freshers like me, it would also be helpful to know if we’re expected to present from day one or if training is provided.

Continuing the Python Series
Your Python series has been fantastic so far, and I’d love to see it continue.

[mohitnemade]

Rishab, you have explained all concepts very perfectly here, even freshar learners can aslo easily understand all concepts of OOPs, only want to say that "THIS IS ONE OF THE BEST DATA ANALYTICS CHANNEL I HAVE BEEN SEEING OVER YET FROM 2 YEARS" Carry on Rishab and thank you very much again😊🤝🤝

[PrattayaGhosh]

sir u are really awesome and your explanation was to simple and easy, love you sir, full support for your effort

[edwards]

Hi Rishab. You are one of the best online tutors for data analytics. The way you simplify concepts, explaining through examples, are really great and I wish you continue to do the same. You even guess where the student can get confused and clear it while teaching is really a skill, since there are no students in front of you. Thanks a lot for your efforts and time. And wish your efforts get the better results.

[abhinaypal]

Here, I learned OOPs very well, while I was already learning from a paid course, but your teaching style is amazing. Thank you, Rishabh Bhaiya.

[rohanrana]

This Python for Beginners series is such a great help, Rishabh! 🙌 The way you focus on the basics really helps build a solid foundation, especially for those new to programming. I'm currently following along and it's been super clear and easy to grasp.

That said, as many of us are aiming for roles like Data Analyst, it would be amazing to see a follow-up series covering intermediate to advanced Python — including essential libraries like NumPy, Pandas, Matplotlib, and more. Having that continuation would really help bridge the gap and prepare us for real-world data tasks. Hope you consider it — thanks again for all the effort you put into teaching! 😊🙏

[shruti_unscripted]

The video is awesome, I learnt oops very well and at the first time.

[rohitdhulankar]

i tried lots of videos to understand this concept .. thank you so much sir for making videos like beginner friendly

[Broken-health]

You are the best teacher in python hats off sir… from pak karachi …. ❤❤❤❤❤❤

[desichanakya]

Well done bro...i finally understand..❤ this is one of the best video on YouTube.

[vatsalpitroda]

the best video for oop in python love it sir