Scrape GitHub with Python using Requests and BeautifulSoup

🚀 Python Mini Project | Working with Time Module 🐍 Today I practiced Python’s time module and created a simple program that displays the current system time ⏰ 🔹 What this program does: ✔ Prints current time in HH:MM:SS format ✔ Extracts hours, minutes, and seconds separately ✔ Uses time.strftime() for formatting 📌 This helped me understand how Python handles real-time data and time formatting. 🔗 Code available on GitHub:https://lnkd.in/guM28yqB 💬 Feedback and suggestions are welcome! #Python #PythonProgramming #LearningPython #TimeModule #BeginnerProject #CodingJourney #GitHub #LinkedInLearning

🚀 Day 2 | Python Project Challenge 🐍 Staying consistent and moving forward 💪 On Day 2 of my daily Python project challenge, I built and uploaded a new project: 📄 PDFMerger – a Python tool to merge multiple PDF files into a single PDF. 🔧 What this project does: Takes multiple PDF files as input Merges them into one output PDF Simple, fast, and command-line based 🧠 What I practiced & learned: Working with external libraries (PyPDF2) File handling in Python User input handling Writing clean, reusable code 📂 GitHub Repository: 👉 https://lnkd.in/g-8qXgbR This is part of my commitment to build and share Python projects consistently and learn in public. Feedback, suggestions, and improvement ideas are always welcome 🙌 On to Day 3 🚀 #Python #PythonProjects #LearningInPublic #GitHub #DeveloperJourney #Consistency #BuildInPublic #Day2

Ever installed a Python package... and still got ModuleNotFoundError? Most of the time, the package isn’t missing. It’s just installed in a different Python. That confusion is what I built Mustel for. Mustel is a small Python CLI tool that helps you: ✔️see which Python you’re actually using. ✔️see what packages are installed where. ✔️understand environment mismatches clearly. ✔️It doesn’t modify your system. ✔️It just makes Python environments visible. Install: pip install mustel Docs: https://lnkd.in/dncSmRDd PyPI: https://lnkd.in/dbDhr673 Built while learning Python packaging and CLI internals. #lauchpost #mustel #python #learning #project #pythonpackage #pypi

Day 2 of Python. Building logic before libraries. Today I deliberately avoided Pandas and NumPy. Instead, I focused on the part that controls everything later: core Python logic. What I worked on: Variables and data types Lists, tuples, dictionaries, sets Conditional logic Loops and flow control The key realization: Libraries don’t make code powerful. Logic does. If logic is weak: Scripts break silently Pipelines fail unexpectedly Debugging becomes guesswork Strong Python fundamentals make everything easier later: Cleaner Pandas transformations Predictable data validation Reliable automation This phase is about training how I think, not what I import. Learning step by step and building confidence in how Python executes, not just how it looks. Tomorrow: functions, modular thinking, and reusable code blocks. If you work with Python: Which basic concept helped you the most early on? #datawithanurag #dataxbootcamp #python #pandas #numpy #datatypes

Python isn’t popular by accident , it’s powerful because of its simplicity and flexibility. Here’s a quick breakdown of the Top 7 Python data types every developer should master, from handling numbers and strings to structuring real-world data with lists, tuples, and dictionaries. At CourseCode, we focus on teaching Python the right way: ➡️ fundamentals first ➡️ practical examples ➡️ real-world application Whether you’re sharpening your skills or building production-ready systems, mastering data types is non negotiable. 🚀 Learn smart. Build better. 🔗 Project link: [ https://lnkd.in/dFSgX4f6 ] #Python #SoftwareEngineering #Programming #DataTypes #CourseCode #TechEducation

Installing Python dependencies doesn’t have to be slow. I wrote about why I switched to uv and why it’s now the only tool I use to manage Python projects. - Why uv is much more than a fast pip replacement - How uv manages Python versions, virtual environments, and execution - How to adopt uv without rewriting your existing projects Tomorrow, I’ll show you data folks and Python users how to simplify their Python workflow with uv. One tool, faster installs, and fewer headaches. If you want to join us, subscribe here: https://lnkd.in/gbuCEQXp #data #python #uv

🚀 Day 17/30 – Mini Python App Challenge Built a Contact Book App 📒 using Python. Features: • Add contacts • View saved contacts • File-based storage (persistent data) Concepts used: File handling, functions, CRUD logic GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd #Python #LearningInPublic #30DaysOfCode #PythonProjects #github #dailycoding

🐍 *Python User-Defined Functions* 🚀 Hey Python learners! 👋 Want to write reusable code? Create your own functions in Python! 😃 - Define with `def function_name():` - Add parameters, return values, and logic - Call them anywhere in your code Makes code modular, readable, and efficient! Check out my latest video on _Zero To Data Analyst By Shalaka_ where I dive into Python functions! 🔍 https://lnkd.in/dttffBtQ *Subscribe* for more Python & data analysis tutorials! 🔔😊 #Python #UserDefinedFunctions #ZeroToDataAnalyst #Shalaka #CodingTips

Most Python beginners don’t struggle because of syntax. They struggle because they don’t know where to store the data. Should you use a list? Or a tuple? Or a set? Or a dictionary? And because of this confusion, code becomes messy and full of mistakes. So I made a complete video on Python Data Structures where I explained everything in simple English with real examples. In this video, you’ll learn: - What data structures are and why they are important - Lists: ordered, mutable collections - Tuples: ordered, immutable collections - Sets: unique, unordered collections - Dictionaries: key-value mappings - Differences between all 4 built-in data structures - When to choose list vs tuple vs set vs dictionary - Mutability of each structure - Practical examples used in real-world programming 📺 Watch the full video here: https://lnkd.in/drwmNe7U If you are learning Python seriously, subscribe to PyMLFinance. I upload beginner to advanced Python tutorials with deep explanations. #python #learnpython #pythonforbeginners #pythonprogramming #datastructures #coding #pymlfinance

🐍 Day 3 of My Python Journey: Variable Re-initialization Today I learned something fundamental yet powerful - variables in Python are incredibly flexible! Unlike some languages where you're locked into a data type, Python lets you reassign variables to completely different types: python x = 42 # I'm an integer x = "Hello" # Now I'm a string x = [1, 2, 3] # Now I'm a list Key takeaways: Variables are just labels pointing to objects in memory You can change what a variable points to at any time Python automatically handles the type conversion The old value gets garbage collected if nothing else references it Practical use case I tried: python user_input = input("Enter a number: ") # String user_input = int(user_input) # Now it's an integer result = user_input * 2 This flexibility makes Python beginner-friendly, but I'm learning to be mindful about keeping my code readable and maintaining consistent variable purposes. What's a Python concept that surprised you when you first learned it? #Python #100DaysOfCode #LearnPython #PythonProgramming #CodingJourney #TechLearning