Validating Python Class Attributes

Avoid manual editing of JSON files when configuring your barcode scanner. This tutorial demonstrates how to build a Python GUI tool that allows you to adjust Dynamsoft Barcode Reader parameters such as lighting, format filters, and expected count in real time, and save reusable templates. Read the tutorial. https://lnkd.in/gq3JizX5 #Python #BarcodeReader #DevTools #DevBlog

Function decorators are one of the most powerful tools in Python, as they give one-liner solutions to endow your functions with all sorts of wonderful, desirable properties and behaviours. Their notation is one of the uglier aspects of Python syntax, and the whole "function of a function" idea takes some getting used to. That said, they make a lot more sense once you realise that they play one of two roles. Here's my latest article that goes into decorators in far more detail than you ever wanted to know: https://lnkd.in/e4XNvmpj #python #pythontutorial #softwareengineering #functionalprogramming Let me know if there's any other topics on Python that you'd like me to read and write about!

Start learning Python the right way https://lnkd.in/dtFbRP96 Master Python step by step https://lnkd.in/dw3T2MpH Python String Methods you will use daily Clean your data Format text Validate input Core methods .capitalize() First letter uppercase .lower() Convert to lowercase .upper() Convert to uppercase .center(width, char) Align text with padding .count(value) Count occurrences .index(value) Get position Fails if not found .find(value) Get position Returns -1 if not found .replace(old, new) Replace values .split(separator) Convert string to list Validation methods .isalnum() Letters and numbers only .isnumeric() Numbers only .islower() All lowercase .isupper() All uppercase Use cases Clean user input Format API responses Parse dates and text Validate forms Ask yourself Do you practice these in real code Or just read them Open your editor Try each method now Save this You will need it More content https://lnkd.in/dBMXaiCv #Python #LearnPython #Coding #Programming #ProgrammingValley

💬 Discussion Question: In Python, we often hear about variable scope. But what does that actually mean? In simple terms, scope determines where a variable can be accessed in a program. There are two common types developers deal with: 🔹 Local Variables These are variables defined inside a function. They only exist within that function and cannot be accessed outside of it. 🔹 Global Variables These are defined outside functions and can be accessed throughout the program. But Python actually follows a specific rule when searching for variables called the LEGB Rule: L → Local (inside the current function) E → Enclosing (inside outer functions, in case of nested functions) G → Global (variables defined at the top level of the script) B → Built-in (Python’s built-in names like "len", "print", etc.) Python checks these scopes in this exact order when resolving a variable name. ⚠️ In larger programs, it's usually better to avoid relying heavily on global variables. They can make debugging harder, create unexpected side effects, and reduce code maintainability. A cleaner approach is to keep variables local to functions and pass data through parameters and return values. Small design decisions like this can make a big difference as projects grow. #Python #Programming #AI #DataScience #SoftwareEngineering #Coding #Instant

🐍 Python Tips: Set vs. Frozenset Ever feel like your Python set is too flexible? Or maybe it’s causing bugs because it’s mutable? Meet the frozenset. Think of it like this: 📝 Set = A Whiteboard. You can add, remove, and change the unique elements whenever you want. 🔒 Frozenset = A Stone Tablet. Once created, it is fixed. No changes allowed. Why use a frozenset? Because it is immutable and hashable(can be used as key in dictionaries) . This allows it to be used as a Dictionary Key—something a regular set cannot do. # The dynamic set guests = {"x", "y"} guests.add("z") # Allowed # The frozen set vip_guests = frozenset(["x", "y"]) # vip_guests.add("z") # Raises AttributeError! Key Takeaway: Use set for dynamic data management and frozenset when you need a constant, safe, hashable set of items. #Python #Programming #Coding #DataStructures #LinkedInLearning #100DaysOfCode

🐍 Python Interview Question 📌 How is a dictionary different from a list in Python? In Python, both lists and dictionaries store collections of data, but they differ in how values are organized and accessed. 🔹 List ✔ Ordered collection of items • Accessed using index positions • Allows duplicate values 🔹 Dictionary ✔ Stores data as key–value pairs • Accessed using unique keys • Keys must be immutable and unique 🔹 Example: • List → [10, 20, 30] • Dictionary → {"a": 10, "b": 20, "c": 30} 🔹 Extra Insight: • Lists are best for sequential data • Dictionaries are ideal for fast lookups and structured mappings 💡 In Short: Use a list when order matters, and a dictionary when data needs key-based access. 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #Programming #PythonInterview #Dictionary #List #Coding #TechSkills #ashokit

I recently published a new article on Medium about practical Python techniques that can save developers hours every week. This piece focuses on automation simple tools and tricks that most programmers overlook but use daily once they discover them. If you work with Python, scripting, or repetitive workflows, you might find something useful here. Read the full article below and let me know which trick surprised you the most. Medium [https://lnkd.in/dZ7hzZSH] #python #coding #developers #tech

From Curve Fitting to Confidence Bands: Building a Dose–Response Engine in Python (PHARMA)   Over the past few weeks, I’ve been refining a compact, self-contained implementation of a 4-parameter logistic (4PL) dose–response model in Python. The goal was to build a clear, reliable analytical workflow that fits the curve, quantifies uncertainty, and visualizes the results in a way that’s easy to interpret and reproduce.  This script brings together the essential components of a scientific dose–response analysis: nonlinear regression, confidence intervals, confidence bands, prediction intervals, parameter correlations, and a clean set of diagnostic plots. Everything is implemented in a straightforward, transparent way so the full process can be understood from end to end.  I’m sharing the code as a complete, working example of implementing a 4PL model with proper statistical treatment and visualization. It’s a solid foundation for anyone exploring dose–response modeling, nonlinear regression, or scientific computing in Python. 

Sometimes small Python behaviors end up causing big confusion in production. I faced one such case with shallow copies when handling nested lists and dicts. It looked simple at first but ended up modifying original data silently. Wrote a plain and honest Medium piece about what actually happened and how I fixed it. It is not theory or textbook — just one of those bugs you only understand after you hit it yourself. Friend link below ⬇️ https://lnkd.in/ehYY9zRY #Python #BackendDevelopment #SoftwareEngineering #CodingJourney #TechCommunity #MediumDev #PythonTips #LearningByDebugging

🚀 Understanding Async & Await in Python (with Output) Async programming helps you run multiple tasks efficiently without blocking execution — especially useful for APIs, DB calls, and I/O operations. Here’s a simple example 👇 import asyncio async def task1(): print("Task 1 started") await asyncio.sleep(2) print("Task 1 completed") async def task2(): print("Task 2 started") await asyncio.sleep(1) print("Task 2 completed") async def main(): await asyncio.gather(task1(), task2()) asyncio.run(main()) 🧠 Output: Task 1 started Task 2 started Task 2 completed Task 1 completed 💡 Explanation: • "async" defines a coroutine • "await" pauses execution without blocking • "gather()" runs tasks concurrently 👉 Even though Task 1 starts first, Task 2 finishes first because it has less waiting time. 🔥 This is concurrency — not parallel execution, but efficient task switching. #Python #AsyncProgramming #BackendDevelopment #InterviewPrep