Explore the tools shaping the future of development & data science 🚀💻
Code smarter, analyze faster, and collaborate better with Google Colab, Jupyter Notebook & modern developer tools — built for innovators, coders, and tech enthusiasts worldwide 🌍
#GoogleColab #JupyterNotebook #DataScience #Programming #TechCommunity
For a long time, I stayed in “learning mode.”📚
Saving posts.
Watching tutorials.
Researching ideas.
Planning projects I never shipped.
💡But AI changed something important:
The gap between an idea and execution has collapsed.
You no longer need a massive team to start building.
Now the real advantage is speed:
Prompt → Build → Publish.
What are you building right now?
#artificialintelligence #softwaredeveloper #buildinpublic #techcreator #programminglife
🔗 GitHub: /KrishnaGhute/DataScience_Journey/blob/main/2025_Foundation/1_Python_Basics/python.ipynb
Started building a strong foundation in Python as part of my Data Science journey 🐍📊
In this notebook, I practiced and revised some of the most important Python basics:
✅ Lists
✅ Tuples
✅ Sets
✅ Dictionaries
✅ Functions
While these topics may look simple, they form the core of problem solving, data handling, and programming logic used in Data Science and Machine Learning.
Things I explored in this practice:
• List creation, indexing, slicing, and methods
• Tuple immutability and usage
• Set operations and handling unique values
• Dictionary key-value pair manipulation
• Creating reusable functions using parameters and return statements
I believe learning fundamentals properly is one of the most important steps in becoming a better developer and data scientist. Instead of rushing toward advanced topics, I’m focusing on consistency, practice, and understanding concepts deeply.
This is part of my public learning journey where I’ll continue sharing:
📌 Python practice
📌 Data Analysis & EDA
📌 Machine Learning concepts
📌 Kaggle notebooks
📌 GitHub projects
📌 Geospatial Analysis work
Currently improving my skills in:
🚀 Data Science
🚀 Data Analysis
🚀 Machine Learning
🚀 MLOps
🚀 Geospatial Analytics
More projects and learning posts coming soon.
Open to learning, collaboration, and connecting with fellow tech enthusiasts 👨💻
Follow my journey through [GitHub](?utm_source=chatgpt.com) and [Kaggle](?utm_source=chatgpt.com).
#Python #PythonProgramming #DataScience #MachineLearning #Coding #Developer #Programming #LearnPython #DataAnalytics #AI #Tech #CodingJourney #GitHub #Kaggle #EDA #ML #ArtificialIntelligence #ComputerScience #MLOps #GeospatialAnalysis
And just like that… the curtains close on NMIT Hacks 2026. ✨
What began with an idea turned into 48 hours of innovation, collaboration, determination, and unforgettable memories. From Round 1 to the final stage, every team brought something incredible to the table.
To our finalists, winners, participants, mentors, sponsors, and organizing team thank you for making this journey truly special. ❤️
This wasn’t just the end of a hackathon.
It was the beginning of new ideas, friendships, and possibilities. 🚀
Here’s a glimpse from NMIT Hacks 2026.
#NMITHacks2026 #NMIT #Hackathon #ClosingCeremony #Innovation
Comment “Union” or click the link in bio if you want to future-proof your design career.
90% of designers already know Figma. So being “good at design tools” is no longer a competitive advantage.
That’s why the Masters’ Union PGP in UI/UX & AI Product Design stood out to me.
It’s a 16-month programme where you work on live startup projects, founder-led business challenges, and real product bottlenecks alongside leaders from companies like Adobe, Swiggy, and Zepto.
Instead of graduating with just speculative case studies, you build a portfolio of shipped work and gain exposure to the kind of product thinking top companies actually hire for. @masters.union
Know more here: /4pan462k
For career counselling from Masters’ Union, fill the Google form here: https://forms.gle/z2SFCPz1TUK9JfCL6 or call at +91 89293 61765
#uiuxdesign #productdesign #designcareer #uxdesign #uidesign