🚀 Project : Python File Organizer Automation 🔹 Description: I developed a Python automation script to organize files automatically based on their types. The script scans a folder, identifies file types, and categorizes them into folders like Images, Documents, Videos, and Others. This reduces manual effort and keeps files well-organized. This project helped me strengthen my understanding of Python scripting and automation. 🔹 Key Highlights: Automated file organization using Python Categorized files based on extensions Used os and shutil modules for file handling Improved efficiency by eliminating manual sorting 🔹 Tech Stack: Python, OS Module, Shutil 🔗 Project Link: https://lnkd.in/gyiZ5awf
Python File Organizer Automation Script
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Day 20 of My 30-Day Python Challenge at GQT (Global Quest Technologies) Today, I explored the power of Lambda Functions and functional programming tools in Python, which make code more concise and efficient. 🔹 Lambda Functions ➕ Finding the sum of two numbers 🔢 Calculating the cube of a number 🥇 Determining the largest of two and three numbers 🔹 Functions Accepting Lambda as Parameters Used with built-in higher-order functions for cleaner and more expressive code. 🔹 Filter() Function ✔️ Filtering positive and negative numbers ✔️ Separating odd and even numbers ✔️ Selecting names starting with the letter 'A' 🔹 Map() Function 🔤 Converting all city names in a list to uppercase 🔹 Reduce() Function 🔁 Aggregating elements to produce a single result using functools.reduce 💡 Today’s Takeaway: Lambda functions and higher-order functions like filter(), map(), and reduce() enable writing elegant and efficient Python code with minimal syntax. ✨ “Write less, accomplish more – that’s the power of Python!”
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🚀Python Practice Update Today I solved the “String Validators”problem on HackerRank. Key learnings: • Practiced Python string validation methods 🔤 • Used functions like `isalnum()`, `isalpha()`, `isdigit()`, `islower()`, and `isupper()` ✅ • Learned how to check different character types in a string 🔍 • Improved logic-building with loops and conditions 💡 Each challenge is helping me get stronger in Python basics. 🚀 🔗Link: https://lnkd.in/dA4XRHmS #Python #HackerRank #StringValidators #CodingPractice #ProblemSolving #100DaysOfCode #LearningPython #Codegnan #Programming
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Get started with python for absolute beginners. The print() statement in Python is used to display output on the screen. It helps beginners check results and understand how the program works. You can use it to show text, numbers, variables, and calculation results. For example, print("Hello World") will display Hello World on the screen. It is one of the first and most important functions to learn in Python.
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Get started with python for absolute beginners. The print() statement in Python is used to display output on the screen. It helps beginners check results and understand how the program works. You can use it to show text, numbers, variables, and calculation results. For example, print("Hello World") will display Hello World on the screen. It is one of the first and most important functions to learn in Python.
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Ever wondered why people get confused when it comes to Python’s Access Specifiers? A few days ago, while revisiting core Python concepts, I stumbled upon this exact question and honestly, it made me pause. If Python has public, protected, and private… why does it still feel so confusing? Here’s what I realized: Unlike languages like Java or C++, Python doesn’t strictly enforce access control. Instead, it follows a philosophy: “We are all consenting adults.” And that’s exactly where the confusion begins. 1. Everything is public by default 2. A single underscore (_) is just a convention, not a restriction 3. Double underscore (__) triggers name mangling, not true privacy So developers often expect strict rules… but Python gives flexibility instead. And that gap between expectation vs reality is what confuses most people. When I dug deeper, I found that understanding this isn’t just about syntax, it’s about understanding how Python thinks. From variables being simple references to memory, to how private variables are internally renamed… it completely changes your perspective. And here’s the surprising part, Even “private” variables can still be accessed (though not recommended), if you understand how name mangling works. If you're learning Python or preparing for interviews, this is one concept you don’t want to overlook. For a complete breakdown with examples, edge cases, and best practices, check out this detailed doc: https://lnkd.in/gi-iw_gM You might see Python a little differently after this. #Python #Programming #Coding #SoftwareDevelopment #Learning #PythonBasics #InterviewPrep #Tech
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15 Python Builtin-Functions You Need to Master as a Beginner, What are the important 15 Python Builtin-Functions You Should Know as a Beginner?
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Python Scripting: Automate, Simplify, Accelerate Python scripting is one of the most powerful ways to turn repetitive tasks into efficient workflows. Whether you're handling data, automating processes, or building quick utilities, Python makes it seamless and scalable. Why Python for scripting? Clean and readable syntax Huge ecosystem of libraries (like Pandas, NumPy, Selenium) Perfect for automation, data processing, and system tasks Cross-platform and beginner-friendly From automating file management to scraping data and building mini tools, Python scripting saves time and boosts productivity. Don’t just do tasks — automate them. #TIET #ThaparUniversity #ThaparOutcomeBasedLearning #ThaparCoursera #Coursera #UCS654_Predictive_Analytics
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Python Environment Variables (Simple Guide) Environment variables are key-value pairs stored outside your Python code that help you configure your application without hardcoding sensitive or changing data (like API keys, database URLs, passwords). 🔹 1. How to Access Environment Variables in Python Python uses the built-in os module: import os api_key = os.getenv("API_KEY") print(api_key) os.getenv() → safely gets the variable (returns None if not found) os.environ["API_KEY"] → raises error if not found
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📺🐍 Using Loguru to Simplify Python Logging Learn how to use Loguru for simpler Python logging, from zero-config setup and custom formats to file rotation, retention, and adding context https://lnkd.in/gabD5QTq
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🚀 Python Interview Question of the Day! 💡 What are Pickling and Unpickling in Python? 🔹 Pickling is the process of converting a Python object into a byte stream. This allows you to store data in files, send it over a network, or save it for future use. 🔹 Unpickling is the reverse process — it converts the byte stream back into the original Python object. 📌 In simple terms: 👉 Pickling = Save object 👉 Unpickling = Restore object ⚙️ Commonly used methods: ✔️ pickle.dump() – to serialize (pickle) ✔️ pickle.load() – to deserialize (unpickle) 🎯 This concept is very important in real-world applications like data persistence, caching, and machine learning models. 🔥 Mastering these basics can boost your confidence in Python interviews! 👉For Python Course Details Visit : https://lnkd.in/gf23u2Rh . #Python #PythonInterviewQuestions #CodingInterview #LearnPython #Programming #BackendDeveloper #ashokit
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