Python AI Glossary: Training Definition

📘 Learning AI – Starting with Python File Operations As part of my continuous learning in Artificial Intelligence and Python, I recently explored File Operations in Python. When working with AI systems, handling data efficiently is very important. File operations help in reading datasets, storing processed results, managing logs, and preparing data for further analysis. 🔍 Concepts I practiced: • Reading data from files • Writing and appending data to files • Understanding file modes (r, w, a) • Using with open() for efficient and safe file handling 📚 I followed this playlist to understand and practice the concepts: https://lnkd.in/d-injG8r Building a strong foundation in Python is an important step when learning and working with AI systems. Looking forward to exploring more concepts as part of my AI learning journey. 🚀 #ArtificialIntelligence #Python #FileHandling #Learning #Upskilling #AIJourney

Project Showcase | Face Recognition Attendance System Built a real-time Face Recognition–based Attendance System using Python, OpenCV, and the face_recognition library to automate attendance marking through computer vision. Key Features • Detects and recognizes faces in real-time using a webcam • Generates unique facial encodings for accurate identification • Automatically records attendance with name and timestamp • Handles unknown faces with visual alerts • Stores attendance logs in a structured CSV file Tech Stack Python | OpenCV | face_recognition | NumPy | Computer Vision

OpenAI to buy Python toolmaker Astral to take on Anthropic OpenAI acquires Astral to boost AI coding tools. https://lnkd.in/e9nCyT_9 Permus Blog — The Gateway to the World of Technology and Software #şevketayaksız #permus

🚀 Python Learning Journey – Day 3 Today’s session was all about Python Operators. This topic helped me understand how operations work in programming and how we perform calculations and conditions in Python. What I learned today: • Arithmetic Operators – +, -, *, /, %, //, ** (used for calculations) • Assignment Operators – =, +=, -=, *=, /= (used to assign values) • Comparison Operators – ==, !=, >, <, >=, <= (used to compare values) • Logical Operators – and, or, not (used for conditions) • Bitwise Operators – &, |, ^, ~, <<, >> (used for binary operations) • Membership Operators – in, not in (used to check values in a sequence) • Identity Operators – is, is not (used to compare memory location) I also understood how each operator works with examples, which made the concepts very clear. Thankful to Global Quest Technologies for providing a great platform to learn and grow. Learning step by step and improving every day 🚀 #Python #PythonProgramming #LearningJourney #Operators #Coding #Programming #SoftwareDevelopment #AI #MachineLearning #DataScience #TechLearning #GlobalQuestTechnologies

Task 8: Basic Python Chatbot Created a simple chatbot using Python under KODBUD tasks. This improved my understanding of: ✔️if-else logic ✔️String handling ✔️User interaction Learning how logic turns into interaction hashtag #PythonChatbot hashtag #KODBUD hashtag #Learning Python hashtag #Coding Journey

Andrej Karpathy has released MicroGPT, a complete GPT language model implementation in less than 250 lines of Python. An impressive demonstration of efficient engineering. https://lnkd.in/eVYE7tZM

2020: learn python 2022: learn machine learning 2023: learn LLMs 2024: learn prompt engineering 2025: learn to build with claude 2026: learn to manage agents doing everything for you & they said "AI will reduce your workload" it just moved the workload😐

What I learnt: Python-Based Expert Persona Systems (Frameworks where agents can invoke domain experts for specialized knowledge); Self-Prompting Patterns in Python (Transforming unstructured data in structured data); Multi-Agent Collaboration with Python (Design memory sharing and coordination mechanisms between specialized Python agents). 😉

🐍 Python Term of the Day: Pydantic AI (AI Coding Tools) A Python framework for building typed LLM agents leveraging Pydantic. https://lnkd.in/gUECtHBm

Functions Deep Dive – Python: Section 2 In-depth university-level Python notes covering functions, parameters, scope, logging, and more—essential for advancing into AI and machine learning. Upon purchase, you will be able to digitally download the PDF file containing notes.  ...