Python API Project: Data Pipeline with SQLite

🚀#120DaysChallenge of Python Full Stack Journey Hello everyone, I’m Lakshmi Sravani 😊 #120DaysChallenge #46Day -  OOP Concepts in Python Today I explored some important Python concepts: 📌 Difference between _ and __ (Access Modifiers) _variable → Protected (can be accessed, but intended for internal use) __variable → Private (name mangling used to avoid conflicts in classes) Example: __salary becomes _ClassName__salary internally 📌 Name Mangling in Python Helps prevent variable conflicts, especially in multiple classes with same variable names. 📌 Polymorphism & Operator Overloading Same operator behaves differently for different data types Example: + works for numbers, lists, and strings 💡Python makes OOP powerful and flexible with simple syntax! #Python #OOPS #Coding #LearningJourney #FullStack

Unlock the power of APIs and master regular expressions in Python! In this lecture, you'll learn how to make API requests to fetch data from the web, handle JSON responses, and use Python's requests library. We'll also dive into regular expressions (regex) to efficiently search, match, and manipulate text data. Perfect for beginners and those looking to enhance their data processing skills. #Python #API #Regex #DataScience #Programming #Tutorial https://lnkd.in/gCZQdtnb

Day 4 – Python Automation Project Today I built a simple Web Scraper using Python to fetch the latest headlines from Hacker News. Used Requests and BeautifulSoup to extract the top news titles from the website. Learning more about how Python can automate data collection from websites. GitHub: https://lnkd.in/gVXYayBB #Python #WebScraping #Automation #Learning

Which Python IDE Is the Best? This is one of the most common questions among Python developers. The honest answer: there is no single "best" IDE. It depends on what you're doing. > PyCharm is great for large Python projects and offers powerful debugging and refactoring tools. > VS Code is extremely popular because it's lightweight, flexible, and has a huge extension ecosystem. > Jupyter Notebook dominates in data science thanks to its interactive workflow - perfect for experiments, visualizations, and quick analysis. In reality, many developers switch between them depending on the task. Different tools for different jobs. P.S. Serious question: does anyone in this world still use Emacs? 😅 #python #ide #pycharm #vs_code #jupyter

🚀 Just built my first Python project! I created a Student Performance Analyzer using Python. 🔹 Reads data from a CSV file 🔹 Calculates average marks 🔹 Assigns grades 🔹 Finds topper and lowest scorer This project helped me understand: - File handling - Loops & conditions - Functions It’s a simple project, but a solid step in my journey toward Data Science. Here’s the code: https://lnkd.in/dcuxkmQw More projects coming soon. 💪 #Python #DataScience #BeginnerProjects #LearningInPublic

Python's secret to efficient data handling is its sets In this article, you'll learn how to create and utilize sets in your Python code to enhance program efficiency and improve code quality, which will undoubtedly boost your confidence when dealing with data in IT. Read the full article 👉 https://lnkd.in/dwf2USXy #LearnPython #SetsInPython #ITFreshers #DataStructures #ProgrammingBasics #TechLab Code. Learn. Build. — TechLab by Neeraj

Some recent projects with #Python, databases, and APIs: Data model for a website with posts/comments/etc: https://lnkd.in/gSU2SxPk Setting up routes for a to-do list application: https://lnkd.in/gXMntDau What I learned: Don't forget to convert objects to json Benefits of Python: Used for backend More notes/updates/ more advanced projects to come...

Built a Python package this week. It's called sklog — colored terminal logging, no dependencies, no setup. Nothing fancy. Just something I kept rewriting across projects and finally packaged it. PyPI → https://lnkd.in/gYPsjCvn GitHub → https://lnkd.in/gx7B2APn #Python #OpenSource #foss

 Python fundamentals are not just beginner topics you move past -- they are the mental models you rely on every time you write code... https://lnkd.in/g2U7xidG #python