Day 36 of #100DaysOfCode 🚀 Today was all about working with a News API and pulling real-time news related to a specific stock/company. The goal was to fetch relevant articles, filter them, and turn raw API data into something actually useful (and readable). Big takeaways: How to make authenticated API requests Parsing and filtering JSON responses Connecting external data (news) to real-world use cases like stock tracking A reminder that code becomes way more fun when it interacts with the real world Basically: teaching my Python apps to read the news so humans don’t have to 😄 Slow, consistent progress — still showing up. #Python #APIs #100DaysOfCode #LearningToCode #Data #FinTech #Consistency #CareerSwitch
Learning to fetch and filter news with Python APIs
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Python 3.14t Launches with No-GIL Support as TypeScript Remains Top on GitHub Octoverse 📌 Python 3.14t launches with No-GIL support, enabling true multi-core performance for AI and scientific computing-marking a major leap for Python’s speed and scalability. Meanwhile, TypeScript remains the top language on GitHub, driving demand for stricter typing and WebAssembly solutions to bring Python to the web. 🔗 Read more: https://lnkd.in/dhdnV42J #Python314t #Nogil #Cpython #Pep703 #Githuboctoverse
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𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗠𝗮𝗱𝗲 𝗦𝗶𝗺𝗽𝗹𝗲 🐍 Everyone uses Python. But very few know its story. In this carousel, you’ll discover: • Why Guido created Python in 1991 • Why it’s NOT named after a snake • The philosophy that shaped modern programming • The controversial GIL decision • Why Python dominates AI today Python didn’t win because it’s the fastest. It won because it made developers happier. That decision reshaped the tech industry. 📌 Save this if you’re learning Python 🚀 Follow for Part 2 - Python Basics 💬 Be honest: Did you know about the GIL before this? Hashtags : #Python #Programming #Coding #SoftwareDevelopment #PythonDeveloper #LearnToCode #TechCareers #AIEngineering #PythonCommunity #DeveloperMindset #ProgrammingPhilosophy
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🚀 Day 6 of My Python Learning Journey Today, I explored a short but powerful concept in Python — Dictionaries. I learned that dictionaries store data in key-value pairs, which makes them extremely useful for organizing and accessing structured data efficiently. 🔹 How to create a dictionary 🔹 How to access values using keys 🔹 Updating values inside a dictionary 🔹 Adding new key-value pairs What I found interesting is how dictionaries allow quick data lookup compared to lists. It’s a small concept, but I can already see how useful it will be in real-world data analysis projects. Step by step, building strong fundamentals. 💻📊 #Day6 #PythonLearning #DataAnalyticsJourney #CodingJourney #Upskilling #FutureDataAnalyst
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Exciting News! 🎉 I'm thrilled to announce the launch of my new Open Source Python library, LLM-TokenCost! 🐍 A lightweight Python library for tracking LLM API costs with budget alerts, spending limits, and detailed per-model breakdowns. Check out the documentation and get started today: ➡️ https://lnkd.in/gUwyxPjM Open to feedback and feature addition #Python #LLM #MachineLearning #APICost #OpenSource #Developer #DataScience #AI
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SpiderRock was recently referenced in an article published in AI Advances, Build a Real-Time Options Dashboard in an Afternoon with Python. In the piece, author Nikhil Adithyan walks through how to build a streamlined options dashboard using Python and modern developer frameworks. As part of the tutorial, SpiderRock’s MLink API is used to source live options data, showing how real-time chains, implied metrics, and Greeks can be integrated into a simple, responsive interface. It’s a practical example of how clean, structured derivatives data can accelerate analytics builds without heavy infrastructure. Learn more and read the full article below. https://lnkd.in/gM_FPSkN #OptionsData #MarketData #Derivatives #QuantitativeFinance #SpiderRock
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🚀 Day-103 of Python Problem-Solving! Problem: Given a list of numbers, we wanted to: 1️⃣ Find the smallest prime in the list. 2️⃣ Multiply only the even numbers by that prime. 3️⃣ Keep the odd numbers unchanged. This exercise is a simple yet powerful way to combine mathematical logic with Python list operations. It helps strengthen problem-solving skills that are often asked in interviews and coding challenges. #Day103 #100DaysOfCode #PythonProgramming #PythonTips #CodingChallenge #ProblemSolving #LearnPython #TechLearning #PythonDevelopment #DataStructures #PythonPractice #CodeEveryDay
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Python’s core data structures is essential for writing efficient code. Here’s a quick refresher: 🔹 Set – Unordered and unindexed collection that stores unique values. 🔹 List – Ordered, changeable collection that allows duplicates. 🔹 Tuple – Ordered but unchangeable collection for fixed data. 🔹 Dictionary – Key–value pair collection that is ordered and mutable. Mastering these fundamentals builds a strong Python foundation. 💡 🔗 Stay connected for more such content. w3schools.com GeeksforGeeks Codewars HackerRank LeetCode #python #methods #code #pythonmethods #list #tuple #set #dictionary
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🚀Day 4 – Understanding Functions in Python Today I completed learning Functions in Python, referring to the official Python documentation to understand the core concepts clearly: https://lnkd.in/eGXVg_uF Topics covered include: Defining functions Function parameters and return values Reusability and modular code To strengthen my understanding, I also referred to this detailed blog: https://lnkd.in/eWfY8aYB Functions are essential for writing clean, reusable, and maintainable code. They play a key role in structuring logic, especially when working with data processing, automation, and AI workflows. Step by step, building stronger foundations. #DataEngineering #Python #AI #NewCareer #SelfLearning
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I've just ported Andrej Karpathy's minimalist Micro-GPT python implementation https://lnkd.in/dSVB3Chy to Rust. It’s definitely not the most efficient way to train a model, but it’s the best way to see how the "math" actually becomes "intelligence." It's essentially the "Long Way Round" to building a Language Model, and it was a fantastic exercise in Rust. Repo: https://lnkd.in/drDYibe9 #AI #Rust #DeepLearning
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🚀 Exploring Advanced Python Concepts! Dived deep into Exception Handling to write smarter, safer, and more resilient code. Mastered try–except–else–finally patterns and strategies for real-time error control. Learned to predict failures, manage them gracefully, and keep applications stable. Excited to continue building production-ready Python solutions with confidence! If you want a more formal, catchy, or emoji-free version, I can generate that too! greatful to Narendra Reddy sir and swami sir for continuous guidance G.R NARENDRA REDDY Global Quest Technologies #codingjourney #AdvancePython #upskilling
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