🧾 Project: QR Code Generator (Python) Description: The QR Code Generator is a lightweight Python application that allows users to instantly create custom QR codes from text, URLs, or any input data. It supports both command-line and GUI (Tkinter) interfaces, giving users flexibility to generate QR codes effortlessly. The tool also includes an option to embed a logo at the center of the QR code for branding or personalization. Key Features: Generate QR codes from text, links, or data. Option to add a custom logo to the QR code. Supports adjustable QR code size, border, and error correction level. Two modes: CLI version: Fast, scriptable QR generation for developers. GUI version: Simple drag-and-drop interface for non-technical users. Saves output as high-quality PNG images (optionally SVG). Built using pure Python — no external heavy dependencies. Tech Stack: Language: Python Libraries: qrcode, Pillow (PIL), tkinter, argparse, os, pathlib Use Cases: Personal or business branding (add your logo to QR). Generating QR codes for websites, portfolios, Wi-Fi credentials, or payment links. Integrating QR generation into other Python applications or automation scripts. Outcome: This project demonstrates strong fundamentals in Python scripting, GUI development, and image manipulation. It’s practical, fast to build, and shows hands-on understanding of external library usage and user interface design.
Python QR Code Generator with Logo Option
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🌦️ Weather Notify: My Latest Python Project I recently created a project called Weather Notify to practice writing Python code and learn how to connect programs to real data using APIs. This script uses WeatherAPI.com to get live weather updates and sends the results straight to my Telegram every morning. Here’s what I practiced and learned: - Making API requests using the requests library - Reading and parsing JSON data from a web response - Using conditions and logic to generate weather advice - Sending messages automatically through the Telegram Bot API - Handling errors to make the script more reliable The app gives real-time weather info and simple messages like: “It’s cold — wear a jacket.” “Rain expected — bring an umbrella.” You can type any city name directly in the terminal, and it will pull the weather for that location. The default location is set to Misawa, Japan, but as shown in the demo, I also pulled San Diego weather by simply typing it in. 📂 GitHub Repo: https://lnkd.in/gCGRmWDx If anyone wants to check it out or try it for themselves, feel free to explore the code! This project helped me get more comfortable with Python functions, APIs, and working with data. I’m excited to keep building more as I learn.
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🐍 Mastering Python Collections: The Foundation of Data Handling ⚙️ When working with Python — whether in automation testing, data analysis, or web development — collections are your best friends. They help you store, organize, and manipulate data efficiently. Let’s explore the 4 built-in collection types that every QA and developer must know! 👇 🧩 1️⃣ List — Ordered & Mutable 📌 Used to store multiple items in a single variable. ✅ Example: fruits = ["apple", "banana", "cherry"] ✔️ You can add, remove, or modify elements. 🧱 2️⃣ Tuple — Ordered & Immutable 📌 Similar to a list but cannot be changed once created. ✅ Example: coordinates = (10, 20) ✔️ Faster and memory-efficient compared to lists. 🗝️ 3️⃣ Set — Unordered & Unique 📌 Stores unique items only (no duplicates). ✅ Example: numbers = {1, 2, 3, 3, 4} ✔️ Useful for filtering duplicate values. 📚 4️⃣ Dictionary — Key-Value Pairs 📌 Maps keys to values — perfect for structured data. ✅ Example: person = {"name": "Kali", "role": "QA Engineer"} ✔️ Great for handling configurations, data mappings, and JSON responses. 💡 Why It Matters for Testers: Easily manage test data and parameters. Build flexible frameworks using lists and dictionaries. Filter, compare, and validate API data efficiently. 🚀 Mastering collections = mastering Python logic! What’s your favorite Python collection type and why? Comment below! 👇
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Passwords are meant to be memorized. Using random strings of characters makes memorization extremely difficult. When passwords are difficult, users will write them down in non-secure locations. This python script is helpful for users who rely on password managers, but for most users, passwords like this are cumbersome and encourage them to take unwanted actions like reusing the password for everything or writing the password down and taping it to their device. Instead of generating passwords with random characters, I would recommend using a curated list of 5000 common words, names, and locations. With this list, generate passwords that randomly contain at least three of these words. The entropy of such a password is 5000 x 5000 x 5000, yet the user only needs to remember three items. Words are easier to recall than random characters, and you can achieve the same levels of password entropy. In your password generator, if you choose 8 random characters (a-z, A-Z, 0-9, !-+) the resulting password entropy will be: 72 x 72 x 72 x 72 x 72 x 72 x 72 x 72 =722,204,136,308,736. If you use four random words from a collection of 5000, the entropy is 5000 x 5000 x 5000 x 5000 =625,000,000,000,000. The first option creates passwords that are extremely difficult to remember. The second creates passwords that humans can read, create images of in their heads, and ultimately recall easier. If anyone is interested in my text file of common words and my PowerShell script, let me know and I can dump it on GitHub. Here is an example of my password generator's output: Password 0 : MotherPreventPaintingParliament Password 1 : SanguineFeudalWILLISPARKIN Password 2 : LiterallyScrapingBibleSweeten Password 3 : DeadenConductorDaintyKnowledge Password 4 : MotionMARSDENRippleMounted Password 5 : RulingTwistAbsurdShrink Password 6 : ThroughMistressWasteSeventh Password 7 : DepartMammaliaAngleBirch Password 8 : ItalianRemovedNightAbroad Password 9 : ReckoningWONGEclipseBloody Password 10 : ConveyanceCountryPluckBAKER Password 11 : MaidenAnswerableReasonPainter Password 12 : ViolenceDelightRighteousEnsign Password 13 : SeverExtraordinaryDuplicateThrong Password 14 : AttentionPyroxeneApprehensionRiddle Password 15 : DeliriumGODFREYBosomProhibit Password 16 : TalkSummaryLifeString Password 17 : LegislativeSentinelSuppressArtificial Password 18 : ApproveQuestionHOWARTHDiminutive Password 19 : BandFallowLiquorDisperse Password 20 : CounselSteadySaintSeminary
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📌PASSWORD GENERATOR SCRIPT WITH PYTHON. ( complete script) 🟡Introduction A password generator is a utility that produces random passwords to assist users in securing their online accounts and safeguarding their data. Writing a password generator script in Python can facilitate the automated creation of robust and secure passwords. Effective passwords typically incorporate a combination of uppercase letters, lowercase letters, numbers, and special symbols. Python, being a flexible and powerful programming language, can efficiently implement this tool. 🟢Characteristics of the Password Generator Randomness: It should produce passwords with random characters to ensure they are unpredictable. Length: Users should have the option to define the desired length of the password. Character Variety: The password must include a blend of letters, numbers, and special characters. Security: The password should be hard to guess, adhering to contemporary security guidelines. 📌Steps to Create the Password Generator Script Step 1: Set up your environment Before you start coding, ensure you have Python installed. If you don't have it installed, download it from python.org. You don't need any external libraries for this basic script. We'll use the built-in random module for randomness and the string module to get predefined character sets. Step 2: Ask the User for Input We will now add functionality to take the desired length of the password from the user. Step 3: Putting Everything Together Now, combine everything into a single script Step 4: Run the Script To run the script: #python #pythonprogramming #pythonlearning
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DAY 74/75 Python Roadmap 🐍; The topics you need to 📕cover; 1) python basics : -introduction to python -Installing Python & IDEs (VS Code, PyCharm, Jupyter, etc.) -Comments and documentation -Keywords,identifiers,Variables and constants -Data types (int, float, str, bool, complex) -Type conversion and casting -Input and output (print, input) -Basic operators (+, -, *, /, %, //, **) -String formatting (f-strings, format(), %) 2) control Statements -Conditional statements (if, elif, else) -Logical operators (and,or, not) and Comparison operators -Looping (for, while) -break, continue, and pass -Nested loops 3) data structure -Lists (Indexing, slicing) *list methods (append, extend, sort, etc.) -Tuples -Sets *Set operations (union, intersection, difference) -Dictionaries (Keys, values, items) *Dictionary comprehension -Stacks, Queues, and Deques *Arrays (via array module or NumPy) 4)Functions 5)oop's -classes, objects, attributes and methods -polymorphism, encapsulation, inheritance, abstract classes - __init__constructer 6) file 📁handling -read, write,r+, w+ -working with Jason and api's 7) exceptional handling -try, except, else and finally blocks 8) modules -numpy -skipy -math etc... 9) web working 👨💻 -API's -JASON 10) real world 🌎 projects
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Day 4 out of 100 python coding challenge 💎 Key lessons learned: 💎 Variables & Data Types: Variables like x,y, and binary are names used to store different types of data. 1. Strings (text): used for words and sentences 2. Integers (numbers): used for whole numbers 3. Booleans (True/False): used for simple logical states 💎 String Formatting (%s vs %r): How to insert variable values into strings using the % 1. %s (String): used to display the clean, user friendly value of a variable. Used to display info to a human. 2. %r (Raw/Representation): Used for debugging (checking what the code is doing). It shows the variables value exactly as Python stores it. 💎 String Operations: Two ways to manipulate strings: 1. Concatenation(+): the plus sign combines two strings together, end to end to create a single longer string. (w + e) 2. Insertion(%): The modulo operator (%) is used after a string to insert values into placeholders (%d, %s, %r) within that string. This exercise taught me the foundational skills of storing data in variables and dynamically building sentences using different formatting rules depending on whether the output is for a person or for debugging. “Job’s not finished.” - Kobe Bryant 🐍
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✅ Python Project 2: Calculator (CLI) 🔢💻 📌 Problem Statement: Build a simple command-line calculator that performs basic arithmetic: addition, subtraction, multiplication, and division. 🧠 What You'll Learn: - Taking user input - Writing functions - Using if/else statements - Handling edge cases (like division by zero) ✅ Python Code: def add(x, y): return x + y def subtract(x, y): return x - y def multiply(x, y): return x * y def divide(x, y): if y == 0: return "Error: Division by zero" return x / y print("=== Simple Calculator ===") print("Choose operation:") print("1. Add (+)") print("2. Subtract (-)") print("3. Multiply (*)") print("4. Divide (/)") op = input("Enter your choice (+, -, *, /): ") a = float(input("Enter first number: ")) b = float(input("Enter second number: ")) if op == '+': result = add(a, b) elif op == '-': result = subtract(a, b) elif op == '*': result = multiply(a, b) elif op == '/': result = divide(a, b) else: result = "Invalid operator" print("Result:", result) 📥 Sample Input: Enter your choice (+, -, *, /): + Enter first number: 10 Enter second number: 5 📤 Output: Result: 15.0 React ❤️ if you're ready for the next project
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🚀 Introducing NeuraPython – The Ultimate Python Development Toolkit! 🐍✨Hey Python developers! I’m Ibrahim Shahid, and I created NeuraPython, a versatile module designed to make your coding life easier. Whether you’re building AI applications, GUIs, handling files, processing media, or working with OS-level tasks, NeuraPython has got you covered!🌟 Key Features:AI Integration – Add intelligent behavior to your apps effortlessly.GUI Development – Build modern, responsive interfaces.File Handling – Simplify reading, writing, and organizing files.Mathematical Operations – Run complex computations seamlessly.Media Processing – Work with images, audio, and video with ease.OS Integration – Automate system-level tasks directly from Python.⚡ Installation:pip install neurapython🐍 Import in Python:import neurapythonWhether you’re a beginner or a pro, NeuraPython helps you streamline development and focus on what really matters – innovation!📧 Contact the author: Ibrahim Shahid – ibrahimshahid7767@gmail.comBuild smarter, faster, and better with NeuraPython! 💡
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💡 Python Project: Simple Bank Account System 💳 I recently built a Python program that simulates a mini Bank Account system using OOP (Object-Oriented Programming) concepts. This project includes features like: ✅ Checking account balance ✅ Depositing and withdrawing money ✅ Secure PIN validation ✅ Generating a new PIN with multiple attempts Here’s a quick look at the code 👇 class Bankaccount: def __init__(self,name,account_num,pin,bal=0): self.name=name self.account_num = account_num self.pin = pin self.bal = bal def credit(self,amount): for i in range(1,4): n=int(input("enter your pin")) if n==self.pin: if amount>0: self.bal+=amount print(f"Your account balance:{self.bal} ") else: print("invalid amount entered...") break else: print(f"invalid pin {i} ") else: print("Too many atempts, access denied") def debit(self,amount): if amount<=self.bal and amount>0: self.bal-=amount print("debited amount",amount) print(f'balance: {self.bal}') def balance(self): print(f'Your account balance:{self.bal}') def validate(self): for i in range(3): old_pin = int(input("enter Your old pin")) if old_pin == self.pin: return True else: print("enter again") return False account = Bankaccount("sai","rs2345",2580,50000) print("Atm menu") print("1.check balance") print("2.amount debit") print("3.amount credit") print("4.account number") print("5.Generate new pin") print("6.Exit") while True: n = int(input("enter your option:")) if n == 1: account.balance() elif n==2: amount = float(input("enter amount to withdraw:")) account.debit(amount) elif n==3: amount = float(input("enter amount to deposit:")) account.credit(amount) elif n==4: print(account.account_num) elif n==5: if account.validate(): new_pin = int(input("enter your new pin")) account.pin = new_pin print("pin generated successfully") else: print("account Blocked") break elif n ==6: print("Thank you, good bye!") break else: print("Invalid option") 💬 This project helped me strengthen my understanding of constructors, methods, loops, and condition handling in Python. #Python #Programming #10000coders #OOP #Project #Learning Thanks to 10000 Coders Output:
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