Python Stock Price Alert System with Yahoo Finance API

APIs & Data Collection in Python 🐍 In today’s data-driven world, the ability to collect and work with data from external sources is an essential skill for developers. One of the most common ways to access external data is through APIs (Application Programming Interfaces). APIs allow applications to communicate with other services and retrieve structured data such as weather information, financial data, user details, and much more. With Python, developers can easily connect to APIs, send requests, and process the returned data. Libraries like requests make it simple to interact with web services and retrieve information in formats such as JSON. This capability makes Python incredibly powerful for tasks like: • Data collection and automation • Building data-driven applications • Integrating third-party services • Creating dashboards and analytics tools Created by Guido van Rossum, Python continues to be a popular choice for developers because of its simplicity and its strong ecosystem for working with data. Understanding how to collect and work with data through APIs opens the door to building smarter and more connected applications. 💬 What APIs have you worked with in your Python projects? #Python #APIs #DataCollection #Programming #SoftwareDevelopment #Tech

🔐 Built a Password Generator using Python Created a Python application that generates secure passwords based on user preferences and evaluates their strength. ✨ Key Highlights: • Customizable password length • Option to include numbers and special characters • Real-time password strength evaluation • Simple and interactive user input 📸 Sharing a snapshot of the output below 🔗 Explore the project on GitHub: [https://lnkd.in/gQMGTtRb] #PythonDeveloper #CodingProjects

#UnderstandingEncapsulationObjectOrientedProgramming (Python) #Encapsulation is one of the core principles of OOP. It focuses on protecting data and controlling how it is accessed or modified within a class. In simple terms, encapsulation means: ➡️ Keeping data (attributes) private inside a class ➡️ Allowing access through controlled methods like getters and setters For example, in a BankAccount class: The balance can be stored as a private variable (__balance) A getter method allows safe access to read the balance A setter method ensures the balance is updated only after validation This approach helps to: ✔️ Protect sensitive data ✔️ Prevent invalid updates ✔️ Maintain clean and reliable code Encapsulation ensures that the internal state of an object cannot be changed arbitrarily, but only through defined methods that enforce rules. In Python, this can be implemented using: Private attributes (__variable) Getter and setter methods @property and @setter decorators for cleaner access 📌 Key takeaway: Encapsulation is not just about hiding data — it's about maintaining control and ensuring data integrity inside your class design. #Python #OOP #Encapsulation #Programming #SoftwareDevelopment #Coding

🚀 Day 8 – Python Automation Journey Today I built a Python Email Automation Script. 📧 This script automatically sends an email using Python by connecting to the SMTP server. 🔹 What I learned today: • Using smtplib for sending emails • Connecting to Gmail SMTP server • Automating email sending with Python • Basic email automation workflow 💡 This is useful for automating notifications, alerts, and reports. Step by step I am improving my Python automation skills and building real-world mini projects. #Python #Automation #PythonProjects #LearningInPublic #Day8 #CodingJourney

Python Project: Contact Management System I’m excited to share my recent project – a Contact Management System built using Python. This project demonstrates how Python can be used to create a simple yet effective system for managing personal or business contacts. The application allows users to store and manage contact information including name, phone number, email, and address. All data is saved in a JSON file, enabling persistent storage and easy data management. Key Features: • Add new contacts with complete details • View a list of all saved contacts • Search contacts by name or phone number • Update existing contact information • Delete contacts when no longer needed • Simple and user-friendly command-line interface Technologies Used: • Python • JSON for data storage • File handling in Python This project helped me strengthen my understanding of Python functions, file handling, data structures, and user input handling while building a practical real-world application. I’m continuously learning and working on improving my programming skills by building projects like this. #Python #Programming #PythonProjects #Coding #SoftwareDevelopment #LearningJourney #Codesoft

🚀 Mini Project Showcase: Python File Organizer As part of my Data Analyst learning journey, I worked on a small Python project while revising my SQL concepts. 📂 Project: File Organizer using Python : This script automatically organizes files into folders like Images, Documents, Videos, etc., based on their file types. 🔧 What I used : Python (os, shutil modules) Logical structuring of file types Automation concepts 📊 Why this matters for Data Analytics : While learning SQL helps in querying data, Python helps in automating repetitive tasks and handling real-world data files. 💡 Key Learnings: File handling in Python Automation basics Writing cleaner and reusable code 🔗 GitHub Repository : https://lnkd.in/dGcnCmXT This is a small step, but I’m consistently building my skills in both Python and SQL to become job-ready as a Data Analyst. #Python #SQL #DataAnalytics #BeginnerProjects #LearningJourney

Understanding None: The Value That Means "No Value" In Python, `None` is a special constant that represents the absence of a value or a null value. It plays a critical role in defining defaults and checking statuses. Using `None` can help avoid common pitfalls when working with mutable default arguments, as seen in the `add_to_list` function. This function demonstrates how to handle situations where no list is provided, ensuring a new list is created for each call. When you pass `None` to a function, it's often an intentional way to signify that no data has been provided. This is especially useful in checking parameters and implementing default behaviors. The way Python distinguishes between a value and the absence of a value allows for more robust coding practices. Understanding how `None` operates is crucial; it can be used for function return values, as a placeholder in data structures, or to signify missing data. This flexibility of `None` makes it a valuable tool for any Python programmer. Quick challenge: What would happen if you call `add_to_list()` without any arguments? What output do you expect? #WhatImReadingToday #Python #PythonProgramming #LearningPython #CodeQuality #Programming

Python Project: Random Password Generator I’m excited to share a small Python project recently built — a Random Password Generator. This program helps users create strong and customizable passwords using different character types. The application allows users to choose the password length and decide whether to include uppercase letters, lowercase letters, numbers, and special characters. Based on these inputs, the program generates a secure random password. Key Features: • User-defined password length • Option to include uppercase letters, lowercase letters, numbers, and symbols • Random and secure password generation • Input validation for better user experience • Simple command-line interface Technologies Used: • Python • random module for generating random characters • string module for accessing character sets This project helped me practice Python functions, conditional statements, loops, and user input handling while building a practical tool for improving password security. I’m continuing to build more projects to strengthen my programming and problem-solving skills. #Pythonprogramming #PythonProjects #PasswordGenerator #Coding #LearningByDoing #Codesoft

𝗧𝗵𝗲 𝗕𝗲𝗦𝗧 𝗪𝗮𝗬𝗦 𝗧𝗼 𝗚𝗲𝗧 𝗨𝗦𝗲𝗥 𝗜𝗡𝗣𝗨𝗧 𝗜𝗡 𝗣𝗬𝗧𝗛𝗢𝗡 When you start learning Python, your programs feel static. You write code, run it, and see output. But real programs respond to people. You can make your code interactive by accepting input. Python offers multiple ways to collect input. Here are some ways to get user input in Python: - Use the `input()` function for console programs - Add validation to ensure correct input - Use command-line arguments for automation tools - Read input from files for data-heavy programs - Create graphical user interfaces for desktop applications - Use web forms for online interaction Each method has its own use case. For example, `input()` is great for small scripts, while command-line arguments are better for automation tools. File input is ideal for processing structured data, and GUIs are perfect for user-facing software. When designing input, provide clear instructions and consider defaults. Handle errors responsibly to make your programs feel stable and trustworthy. You can combine multiple input methods to create flexible programs. Remember, the best way to get user input in Python depends on your goals. Understand when each method makes sense, and design input thoughtfully. Source: https://lnkd.in/gGc6iRfN

Committed to upskilling to allow myself to compete in global job markets. I recently built small Python scripts to automate repetitive tasks like organizing folders, renaming files, backing up documents, and cleaning messy Downloads directories. Naturally, I also used Python to automate parts of creating this portfolio. One thing I’ve learned so far is that every new concept feels confusing at first, sometimes completely impossible… but with enough persistence, things eventually start making sense. Current scripts can: • organize files by type • detect duplicate filenames • rename files automatically • delete large files • create backup copies Small steps, but each project makes the next concept a little easier to understand. GitHub: https://lnkd.in/dykD_GH9 Also want to thank Keron Rose for consistently sharing insights about building skills that can compete in global job markets — your content has been a strong motivator as I continue learning.