I started yesterday something I never even considered to do. I started coding in Python. And it is all because of AI. What the new AI tools are doing is lowering the bar for experimentation and trying new things. I had an idea for a game, asked AI how it could be implemented, and it gave me instructions. Within hours I had a working software operating on my laptop. I just could not believe I pulled something so far of my expertise so easily. What else can I do with AI? #AI #Python #Coding
Daniel Rotko’s Post
More Relevant Posts
-
Day 3 of My AI Journey 🚀 Today I focused on understanding how programs make decisions using Python. I worked with conditional logic (if / elif / else) and applied it to a small project. What I built: 👉 Student Result Analyzer - Calculates total and average marks - Evaluates performance based on conditions Key learning: 👉 Writing code is not just about syntax, it’s about structuring logic correctly Challenge faced: 👉 Deciding the right conditions and thresholds for accurate output (for example, how to define “Good” vs “Needs Improvement”) This phase is helping me shift from writing code to thinking like a developer. #Python #AI #LearningInPublic #BuildInPublic
To view or add a comment, sign in
-
Attended an AI for Techies workshop recently. The session covered practical ways to use AI for learning and development — from writing and debugging Python code to building small applications and exploring useful tools. A useful introduction to how AI can be applied in development and testing workflows to improve efficiency and problem-solving. #AI #Python #AutomationTesting #Learning
To view or add a comment, sign in
-
-
🚀 Day 5 of my #100DaysOfCode journey. Today I strengthened my Python fundamentals by learning about Lists, one of the most important data structures in Python. 🔹 Creating lists 🔹 Accessing elements using indexing 🔹 Adding elements using append() and insert() 🔹 Removing elements using remove() and pop() 🔹 Finding list length using len() Understanding lists is crucial because they form the foundation for working with datasets in Data Science, Machine Learning, and AI. Every small step is building a stronger foundation toward becoming a better developer. #Python #100DaysOfCode #MachineLearning #DataScience #AI #CodingJourney #LearnInPublic #FutureEngineer
To view or add a comment, sign in
-
Top 7 skills you need to break into AI 🚀 AI isn’t magic — it’s a combination of programming, data, and logic. Start small, stay consistent, and build real projects. 💡 You don’t need to master everything at once. Start with Python + basic ML + hands-on practice. #AI #MachineLearning #DataScience #Python #FutureSkills #TechCareers
To view or add a comment, sign in
-
-
🚀 Built a Simple AI Image Analyzer using Python & Streamlit Today I built a small project where users can upload an image and ask questions about it using AI. 🔹 Technologies Used: • Python • Streamlit • Google Gemini API • PIL (Python Imaging Library) 💡 How it works: 1️⃣ Upload an image 2️⃣ Enter a prompt/question about the image 3️⃣ AI analyzes the image and generates a response This project helped me understand: Integrating Generative AI APIs Handling image inputs in Python Building simple AI web apps using Streamlit I'm currently learning and exploring Data Analytics, AI tools, and Python projects. Excited to build more practical projects! 🚀 #Python #Streamlit #GenerativeAI #GoogleGemini #AIProjects #LearningInPublic #DataAnalytics
To view or add a comment, sign in
-
📆 Day 229 of 365 days 🚀 Started diving deeper into AI development using Python 🤖 Learned about how AI systems actually work behind the scenes, including how Python interacts with libraries, packages, and tools that power modern AI applications. Explored concepts like pip, packages, and the ecosystem of reusable code that makes building AI faster and more efficient. Understanding this foundation is important because AI isn’t just models—it’s also about how we use the right tools like NumPy, Pandas, and other libraries to process data and build intelligent systems. This marks the beginning of a more serious journey into AI building, not just using AI 🚀 #AI #Python #MachineLearning #ArtificialIntelligence #DataScience #NumPy #Pandas #Developers #Programming #TechJourney #BuildInPublic #Learning #SoftwareEngineering
To view or add a comment, sign in
-
-
Python continues to shape the future of technology in 2026. From AI to automation, it remains the go-to language for developers worldwide. Explore why Python still leads the way and how organizations can leverage it to build future-ready teams. To Read More: https://lnkd.in/dkp6NE_A #Python #AI #MachineLearning #TechTrends #Upskilling #DigitalTransformation
To view or add a comment, sign in
-
-
Python continues to shape the future of technology in 2026. From AI to automation, it remains the go-to language for developers worldwide. Explore why Python still leads the way and how organizations can leverage it to build future-ready teams. To Read More: https://lnkd.in/dkp6NE_A #Python #AI #MachineLearning #TechTrends #Upskilling #DigitalTransformation
To view or add a comment, sign in
-
-
🚀 Day 4 of My Generative & Agentic AI Journey! Today’s focus was on one of the most commonly used data types in Python — Strings. Here’s what I learned: 🔤 Strings in Python: • Strings are immutable — once created, they cannot be changed • Any modification creates a new string instead of changing the original 🔍 Indexing & Slicing: • Accessing individual characters using indexing • Extracting parts of a string using slicing • Learned how powerful slicing is for handling text data 🔐 Encoding & Decoding: • Understood how strings are converted into bytes (encoding) • And how bytes are converted back to strings (decoding) • Important for handling data, APIs, and real-world applications 👉 Key takeaway: Strings are everywhere — from user input to AI models — and understanding how to work with them efficiently is a must. Another step closer to mastering the fundamentals 💪 #Day4 #Python #GenerativeAI #AgenticAI #LearningJourney #BuildInPublic
To view or add a comment, sign in
-
More from this author
Explore related topics
- How AI can Improve Coding Tasks
- How AI Affects Coding Careers
- How AI Coding Tools Drive Rapid Adoption
- Reasons for the Rise of AI Coding Tools
- AI Coding Tools and Their Impact on Developers
- Reasons to Learn Coding in an AI Era
- How to Use AI to Make Software Development Accessible
- How AI Agents Are Changing Software Development
- How AI is Changing Software Delivery
- How to Use AI Instead of Traditional Coding Skills
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development