Leveling up my Python logic: Data Validation! 🚀 I’ve been focusing my recent studies on making data input more robust and user-friendly. I developed a Python script that simulates a registration system, but with a key focus: strict validation. In this code, I implemented functions to handle: Username: Ensuring it only contains lowercase letters and stays within a specific length. Password: Requiring a mix of letters and numbers for better security. SKU/Access Code: Validating a specific pattern (AAA-1234) using string slicing. It feels great to see how concepts like while loops, string manipulation, and the time library are becoming part of my daily coding toolkit. Every small validation is a step toward building better software! What do you think of this approach? Any tips on how to make this code even cleaner? 👇 #Python #Coding #SoftwareDevelopment #LearningToCode #Backend #TechJourney
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🚀 Automated My Downloads Folder Using Python Today, I built a simple yet useful File Organizer script using Python that automatically sorts files into folders. We often download many files, and our Downloads folder becomes messy. So I created a script to organize it automatically 👇 ✨ What This Script Does • Scans all files in the Downloads folder • Moves .jpg files into an Images folder • Moves .pdf files into a PDFs folder • Helps keep files clean and organized ⚙️ Technologies Used • Python • os module (for file handling) • shutil module (for moving files) 🧠 What I Learned • Working with file systems in Python • Automating real-world tasks • Writing efficient and reusable scripts • Importance of automation in daily life 💡 Key Insight Even small automation scripts can save time and improve productivity. If you have suggestions to improve this script (like handling more file types), I’d love to hear them! 😊 #Python #Automation #Programming #LearningInPublic #DeveloperJourney #Productivity #10000Coders #BuildInPublic
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I’ve published my first technical article: a walkthrough of the SOLID principles—with Python examples. It started as “I’ve heard these letters everywhere—what do they actually mean in code?” Turning that into something concrete helped me more than skimming another diagram. In the post I break things down into bite-sized pieces, including: • Single Responsibility: One job per module—easier to reason about and change. • Open/Closed: Extend behavior without rewriting existing code. • Liskov Substitution: Subtypes that don’t break expectations. • Interface Segregation: Small, focused contracts instead of fat interfaces. • Dependency Inversion: Depend on abstractions, not concrete details. Beyond the theory, each section includes short Python snippets so the ideas map to something you can run and tweak—not just memorize. The full post is here: https://lnkd.in/gFXSE4d9 #SoftwareEngineering #SOLID #Python #CleanCode #OOP #DesignPatterns
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🚀 Project Completed: Expense Tracker using Python I developed a command-line application to track daily expenses using Python and CSV file handling. 🔹 Features: ✔ Add and store expenses ✔ View all transactions ✔ Calculate total spending 🔗 GitHub Repository: https://lnkd.in/gQ4nwR95. This project helped me understand file handling and build a real-world application. #Python #DataScience #BeginnerProject #Learning
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Advanced Python 2026 (Part 2) is Live: File Handling in Python Real-world applications don’t just run code — they work with data. In Part 2 of the Advanced Python 2026 series, we explore File Handling, one of the most essential skills for building practical Python programs. In this article, we cover: • Why file handling matters in real applications • How Python reads and writes data • Common file operations developers use • Practical use cases like automation, logging, and data processing If you want to move beyond writing simple scripts and start building real systems that manage data, this part is for you. Read Part 2 here: https://lnkd.in/emw6yWN7 #Python #Programming #JMSM #KNKA #SoftwareDevelopment #Coding #BackendDevelopment #Developers #TechEducation #Automation #DataProcessing #Python2026
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𝗔 𝘀𝗺𝗮𝗹𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗱𝗲𝘁𝗮𝗶𝗹 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗽𝗿𝗲𝘃𝗲𝗻𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗯𝘂𝗴𝘀. In Python, copying a list may not always behave as expected. Example: a = [1, 2, 3] b = a b.append(4) print(a) Output: [1, 2, 3, 4] Even though "b" was modified, the original list "a" also changed. Why? Because both variables point to the same object in memory. Correct way to copy a list: a = [1, 2, 3] b = a.copy() b.append(4) print(a) Output: [1, 2, 3] 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁: Assigning a list creates a reference, not a new copy. Using ".copy()" ensures changes in one list do not affect the other. #Python #Programming #PythonTips #Coding #Developers #SoftwareDevelopment #Tech #CodingTips
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#python project 2 : Password Generator Getting to know how string functions work, that's really fascinating, which decreases the length of the program, by adding a single word string. #program import random import string print("welcome to password generator") length=int(input('enter length of password')) letters=string.ascii_letters numbers=string.digits symbols=string.punctuation all_characters=letters+numbers+symbols password='' for i in range(length): password+=random.choice(all_characters) print('generated password', password) #pythonprograms #programs #passwordgenerator #learning
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🧠 Python Concept: is vs == ✨ Both compare values, but they check different things. ✨ == → Checks value equality a = [1, 2, 3] b = [1, 2, 3] print(a == b) Output True Because both lists have the same values. ✨ is → Checks object identity a = [1, 2, 3] b = [1, 2, 3] print(a is b) Output False Because they are different objects in memory. 🧪 Example with None value = None if value is None: print("Value is None") Using is is the recommended way to check None. 🧒 Simple Explanation 📚 Imagine two identical books 📚 == → checks if the content is the same 📚 is → checks if it is the exact same book 💡 Why This Matters ✔ Avoid logic bugs ✔ Important for None checks ✔ Helps understand Python memory ✔ Common interview question 🐍 In Python, == compares values, while is compares identities 🐍 Two objects may look the same but still be different in memory. #Python #PythonTips #PythonTricks #AdvancedPython #CleanCode #LearnPython #Programming #DeveloperLife #DailyCoding #100DaysOfCode
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📁 In this video, I build a Python automation script that organizes the Downloads folder automatically. The program scans all files and sorts them into folders such as Images, Videos, Documents, Audio, Code, ZIP files, and more. Instead of manually cleaning a messy Downloads folder, Python can do the work in seconds. This project helped me practice important Python concepts such as: • File system operations • Python automation • Using the os and shutil modules • Handling file extensions • Error handling and logging The script categorizes files based on their extensions and moves them into appropriate folders automatically. Example folders created by the script: Images, Videos, Documents, Audio, Code, ZIP files, Installers, Data files, and Others. This is a practical Python project that shows how programming can automate everyday tasks. If you're learning Python, building small automation tools like this is one of the best ways to improve your coding skills. Technologies used: Python 3 os module shutil module Subscribe for more Python projects and programming experiments. GitHub Repo: https://lnkd.in/dZgGMbU5 #python #automation #pythonprojects #coding #learnpython
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📝 Task 2: To-Do List Application (Python CLI) Built a command-line based To-Do List application using Python with JSON file handling for persistent storage. This project focuses on improving productivity by allowing users to manage tasks efficiently. 💡 Features include adding tasks, updating priorities, marking tasks as complete/incomplete, filtering tasks, and viewing statistics. A great hands-on project to practice file handling, object-oriented programming, and working with Python built-in libraries. 🚀 Github repo: https://lnkd.in/grCvTF2Q #Python #Coding #Project #BeginnerProjects#Codenova Tech Solutions
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Day 10 of my Python journey Missed the class, but caught up stronger Today’s focus: Lists & Real-world Logic ✔ Built a mini time converter (24hr → 12hr format) ✔ Understood list basics & nested indexing ✔ Explored list methods (append, extend, remove, pop) ✔ Learned the power of mutable data structures Big takeaway: Lists are not just storage — they’re powerful tools for solving real problems. Code link : https://lnkd.in/gTjGZd5X Consistency continues 🚀 #Python #100DaysOfCode #CodingJourney #FullStackDeveloper Codegnan Saketh Kallepu
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