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Shailesh Nayak

Engineer • 1d

Day 1 of learning DSA in Java. Topic covered : Types(Procedural, Functional, Object oriented) Flow of programs Basics of Java and Architecture

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SUMIT DVIVEDI

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Which topic is considered one of the most challenging in DSA?

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Dileep Kadiveti

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Harshit Kumar

Software Engineer at... • 4m

Wow! I just participated in the Basics of Personal Finance session on Varsity Live and achieved an impressive score of 450 points! Check the amazing live programs here - varsitylive.zerodha.com/home.

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Dileep Kadiveti

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Aryan Nagori

“Code. Optimize. Rep... • 4d

Hey everyone! 👋 I’ve just started learning Data Structures and Algorithms (DSA) in Java, and I’m really excited to dive deeper into problem solving and core programming concepts. 🚀 Since many of you have already been through this journey, I’d lov

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Anurag Kumar

Hustle • 11m

I'm a Java developer with 8 years of experience and can build scalable app in micro service architecture... I can also help with the deployment of app in AWS... If you have an idea and looking for a CTO. I'm open for discussion

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Comet

#freelancer • 2m

try this Prompt: Transform a simple flat vector icon of [🎃] whatever u want here I give image into a soft, 3D fluffy object. The shape is fully covered in fur, with hyper realistic hair texture and soft shadows. The object is centered on a clean, l

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Muttu Havalagi

🎥-🎵-🏏-⚽ "Finding ... • 10m

1. PHP: - History: PHP was created by Rasmus Lerdorf in 1994. Originally, PHP stood for "Personal Home Page," but it now stands for "PHP: Hypertext Preprocessor." - Unique Fact: PHP was originally developed as a set of Common Gateway Interface

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Monika Thota

You don't have to kn... • 10m

I'm an engineering student currently and stocks and e-commerce intrigues me I'm interested in them. however, I don't know any sorts of of basics or important details related to them It would be great if anyone could provide a mere basics on stocks

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Comet

#freelancer • 6m

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

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