DEBASIS MOHARANA @Mathquery

Success! Just solved collections.Counter() on @hackerrank. Can you complete the challenge? hr.gs/fea #programming

youtube.com/live/IDDmrzzB1… Hi , I have completed CS50 2023 first lecture on youtube which is my start of my data engineering journey #data #dataengineer

youtube.com/watch?v=knekgz… Like Share And Subscribe

Today I earned my "Create an open-source program by using GitHub best practices" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Manage an InnerSource program by using GitHub" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Introduction to GitHub" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Challenge project - Build a minigame with GitHub Copilot and Python" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Using GitHub Copilot with Python" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Using GitHub Copilot with JavaScript" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Introduction to prompt engineering with GitHub Copilot" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

Today I earned my "Introduction to GitHub Copilot" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge

I just applied for the #MLHFellowship where I'll get to learn #SoftwareEngineering by doing! fellowship.mlh.io/?utm_campaign=… via @MLHacks

Some Data Engineering Tools You Should know; - Tableau - Looker - Fivetran - Data build tool - Airflow - Spark - Hadoop - BigQuery - Red Shift - Snowflake Add yours.

ChatGPT "Advanced Data Analysis" (which doesn't really have anything to do with data specifically) is an awesome tool for creating diagrams. I could probably code these diagrams myself, but it's soo much better to just sit back, and iterate in English. In this example, I was experimenting with a possible diagram to explain Supervised Finetuning in LLMs. The "document" at the origin (0,0) is the empty document, and eminating outwards are token streams. Highlighted in black are the high probability token streams of the base model. In red are the token streams corresponding to the conversational finetuning data. When we finetune, we are increasing the probabilities of the red paths and suppressing the black paths. I like this view because it emphasizes LLMs as "token simulators", with their own kind of statistical physics backed by datasets, bouncing around in the discrete token space. The conversation where we built it in a few minutes: chat.openai.com/share/d48fddff… (Sadly I just remembered that ChatGPT sharing doesn't support images, but at least the text is there, of me iterating with the diagram in plain language, and needing to touch no code. Such a vibe of the future.) I had a similar experience yesterday, was trying to create a plot that shows smoothing in n-gram language models. Again I could just have coded this manually, but this was 10X faster and so easy. Conversation: chat.openai.com/share/9e7fd404… Posting because during these chats I was struck again by that feeling of what must be the future, where you just sit back and say stuff, and the computer is doing the hard work. And in some narrow pockets of tasks, you can already get that feeling today.

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🏆 Celebrating the incredible creators with @msdhoni at Prabhav'23. Stay tuned for more event photos. #prabhav23 #Dhoni #MSDhoni #captaincool #rigiforcreators

📈 Stock Market Real-Time Streaming Kafka Project (150K+ Views) 🥳 Real-Time Data Streaming is everywhere and makes your life easier 👨🏻‍💻 Let's take the example of UPI (Unified Payment Interface) 🚖 Consider you are traveling by online cab service and you make payment online. 🧾 You made the payment and the driver did not receive it immediately. "Bhaiya payment to kar diya hai" (I made the payment) You want to get a notification instantly and even if there is a slight delay of 30-40sec you'll start losing your mind 😤 🫡 This is where real-time data streaming platforms make our lives easier You do the UPI and another person receives notifications then and there. There are many other use cases such as Stock Market, Fraud Detection, e-commerce, Google Maps, and many more I just published a video on this topic and created an entire project around it What do you think you'll learn? ✅ Build a Real-Time simulation app using Python ✅ Understand the basics of Kafka (Broker, Producer, Consumer, Zookeeper, and many more) ✅ How install Kafka on EC2 (or any VM) ✅ Write Producer and Consumer code in Python ✅ Generate a real-time streaming pipeline and store data in S3 ✅ Analyze Data in Real-Time using Athena Video Link - youtu.be/KerNf0NANMo?si…

Data Engineering is the fastest-growing field, everyone needs them 🚀 Even OpenAI was hiring for Data Engineers because you need to process your data on scale. This is the best time to get into this field Here's the best resource you can follow 👇🏻

Hi, If you are interested in: 👨‍🔧 Data Engineering 📈 Data Science & Analytics ☁️ Cloud Computing 📗 Productivity 👨‍💻 Freelancing 🐍 Python 🗄️ SQL and overall data-related info ✅Follow Button I am very active on YT & Linkedin now planning to do the same on Twitter

Curious about big data engineering? Learn about 🔸 the 5 core capabilities, 🔸how it benefits your business, & 🔸customer success stories. Our latest article has the details you need: infa.media/2YeR7II #bigdata #dataengineering

Types of Data professionals