Anshit Gujral’s Post

Just wrapped up a review of the Introduction to Python 3 module. Good refresher on the fundamentals of Python as an interpreted, high-level language and its practical applications in automation and InfoSec. The hands-on approach with typing out examples rather than copy-pasting remains one of the best ways to internalize syntax and patterns. Python's readability and flexibility continue to make it my go-to for everything from quick scripts to larger projects. Always valuable to revisit the basics and reinforce core concepts. https://lnkd.in/gTuYySdS

👋 Welcome back! 📅 Python Learning – Day 44 Today is about making your programs interactive: Python User Input. Until now, your programs have mostly used fixed values. With user input, your program can receive data from the user and respond accordingly. This is where programs start feeling more dynamic and practical. 📘 In this lesson, I’ve explained: ⌨️ How to take input using Python 🔄 Converting input into the correct data type ⚠️ Common beginner mistakes when handling user input Many bugs happen because input is treated as the wrong type. Once you understand how input works, your programs become more flexible and useful. 🔗 Tutorial link is in the comments. ⏭️ Tomorrow: Python VirtualEnv #PythonUserInput #InteractivePrograms #LearnPythonConcepts #CodingForBeginners #PythonPractice #ProgrammingSkills #TechLearning #DeveloperJourney #codepractice #pythonlearning #python2026 #python

🚀 Excited to share my first Python project! I created a Random Password Generator using Python that generates secure passwords using letters, numbers, and special characters. 🔧 Technologies Used: • Python • Random Module • String Module Check out the project on GitHub: https://lnkd.in/gc-BKCF4 #Python #GitHub #Coding #Learning #DataAnalytics

Python Handwritten Notes – Complete Topics Covered 🐍 Sharing my handwritten Python notes for easy learning and quick revision. These notes cover important Python fundamentals in a simple and beginner-friendly format: • Python basics & syntax • Variables, data types & operators • Conditional statements (if–else) • Loops (for / while) • Functions & logic building • Practice examples & handwritten notes Still learning, still improving — because strong basics create strong skills. All credit goes to the original creater of the material. 📩 Comment " Python" or DM me to get the notes. DM for Collaboration. #Python #CodingJourney #Programming #LearnPython #StudentLife #TechSkills #DailyLearning #Notes

🚀 Update on My Python Learning Journey – If Statement 🐍 Today I learned about the if statement in Python. The if statement is used to execute a block of code only when a given condition is True. It helps in decision-making within a program. 🔹 Syntax of if statement: if condition:   # block of code 🔹 The condition can use comparison operators like: ==, !=, >, <, >=, <= 🔹 Example: age = 18 if age >= 18:   print("You are eligible to vote") 📌 Important: Python uses indentation (spaces) to define the block of code inside the if statement. Learning step by step and strengthening my Python fundamentals 💻✨ #Python #LearningJourney #Programming #ConditionalStatements

Learning Python one concept at a time 🐍 Python Basics — Day 12 🐍 📌 Concept: Python Errors & Debugging Where real learning actually begins ⚠️ Syntax errors, type errors, name errors… Python isn’t being rude — it’s being clear. The key lesson beginners miss 👇 Errors are not failure. Errors are feedback. Every error message is Python saying: “I need clearer instructions.” Learning to read errors calmly is what turns beginners into programmers. Sharing simple explanations + practice questions to learn by doing ✍️ 💬 Comment “DONE” after solving the debugging exercises If you’re learning Python step by step, let’s connect 🤝 #Python #PythonProgramming #Debugging #CodingErrors #LearnPython #ProgrammingForBeginners #TechLearning #CodingJourney #SoftwareDevelopment

📌 If and If-Else in Python Continuing my Python learning journey, today I practiced conditional statements. Conditional statements help a program make decisions based on conditions. 🔹 If Statement Executes a block of code only if the condition is true. Example: a = 100 b = 200 if a < b:  print("100 is less than 200") Output: 100 is less than 200 🔹 If – Else Statement Used when we want to execute one block if the condition is true and another block if it is false. Example: a = 800 b = 600 if a < b:  print(a, "is less than", b) else:  print(a, "is greater than", b) Output: 800 is greater than 600 Learning step by step and improving my Python fundamentals every day. 🚀 #Python #Programming #CodingJourney #LearningPython #DataAnalytics

One thing I’m realizing while learning Python: small projects teach more than tutorials. Over the past few weeks, I’ve been building small programs like: • Password Generator • Calculator using functions and loops While they look simple, they helped me understand: • How program logic works • Why functions make code reusable • How user input controls program flow Right now, I’m working on a CLI-based To-Do List application as my next step. Learning step by step and enjoying the process. If you’re also learning Python, what project helped you understand programming better? #Python #LearningInPublic #BeginnerProjects #CodingJourney #StudentDeveloper

Built a customizable Password Generator using Python. As part of strengthening my Python fundamentals, I created a program that: • Allows users to choose number of letters, symbols, and numbers • Randomly generates secure passwords • Shuffles the final output for better randomness Concepts used: • Lists • Loops • Random module • Type conversion • String joining Small project, but it helped me understand structured logic and randomness better. Open to feedback and suggestions. #Python #BeginnerProject #PasswordGenerator #LearningInPublic #CodingJourney

🚀 Day 21 of Python Learning – Exploring any() Today I learned how to use Python’s built-in any() function to perform quick logical checks on collections. With any(), we can easily verify whether at least one value in a list (or any iterable) is True. This makes writing condition checks simpler, cleaner, and more efficient. Example: any([0, 1, 0]) → True A small function, but very powerful when working with validations, filters, and decision-making logic in real programs. Step by step, building stronger Python fundamentals every day 💻 #Python #PythonLearning #CodingJourney #Programming #PythonLogic :::