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Python Interview Questions 👆

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Evolution of Programming Languages🖥️ 🔰Programming Languages🔰 1. JAVA: More than 85% android apps are created using JAVA. It is also used in big (big means big) websites. It is a portable programming language which makes it easy to use on multi platforms. 2. Java Script: Its a browser/client side language. It makes the webpage more interactive. Like for example when you enter a comment on Facebook then the whole page doesn’t load., just that comment is added. This kind of functionalities are added into webpages with JavaScript. Javascript brought about a revolution in webapps. 3. Assembly Language: The most low level programming language because its nothing more than machine code written in human readable form. Its hard to write and you need to have deep understanding of computers to use this because you are really talking with it. Its very fast in terms of execution. 4. C: Its a low level language too that’s why its fast. It is used to program operating system, computer games and software which need to be fast. It is hard to write but gives you more control of your computer. 5. C++ : Its C with more features and those features make it more complex. 6. Perl: A language which was developed to create small scripts easily . Programming in Perl is easy and efficient but the programs are comparatively slower. 7. Python: Perl was made better and named Python. Its easy, efficient and flexible. You can automate things with python in a go. 8. Ruby: Its similar to Python but it became popular when they created a web application development framework named Rails which lets developers to write their web application conveniently. 9. HTML and CSS: HTML and CSS are languages not programming languages because they are just used display things on a website. They do not do any actual processing. HTML is used to create the basic structure of the website and then CSS is used to make it look good. 10. PHP: It is used to process things in a website. It is server-sided language as it doesn’t get executed in user browser, but on the server. It can be used to generate dynamic webpage content. 11. SQL: This is not exactly a programming language. It is used to interact with databases. ➡️ This list could be long because there are too many programming language but I introduced you to the popular ones. ❓Which Language Should Be Your First Programming Language? ✅ Suggestions.. 1. Getting Started Learn HTML & CSS. They are easy and will give you a basic idea of how programming works. You will be able to create your own webpages. After HTML you can go with PHP and SQL, so will have a good grasp over web designing and then you can go with python, C or Java. I assure you that PHP, HTML and SQL will be definitely useful in your hacking journey. 2. Understanding Computer And Programming Better C..The classic C! C is one of the most foundational languages. If you learn C, you will have a deep knowledge of Computers and you will have a greater understanding of programming too, that will make you a better programmer. You will spend most of your time compiling though (just trying to crack a joke). 3. Too Eager To Create Programs? Python! Python is very easy to learn and you can create a program which does something instead of programming calculators. Well Python doesn’t start you from the basics but with if you know python, you will be able to understand other languages better. One benefit of python is that you don’t need to compile the script to run it, just write one and run it. Join for more: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

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Python Cheatsheet 🚀 1️⃣ Variables & Data Types x = 10 (Integer) y = 3.14 (Float) name = "Python" (String) is_valid = True (Boolean) items = [1, 2, 3] (List) data = (1, 2, 3) (Tuple) person = {"name": "Alice", "age": 25} (Dictionary) 2️⃣ Operators Arithmetic: +, -, *, /, //, %, ** Comparison: ==, !=, >, <, >=, <= Logical: and, or, not Membership: in, not in 3️⃣ Control Flow If-Else: if age > 18: print("Adult") elif age == 18: print("Just turned 18") else: print("Minor") Loops: for i in range(5): print(i) while x < 10: x += 1 4️⃣ Functions Defining & Calling: def greet(name): return f"Hello, {name}" print(greet("Alice")) Lambda Functions: add = lambda x, y: x + y 5️⃣ Lists & Dictionary Operations Append: items.append(4) Remove: items.remove(2) List Comprehension: [x**2 for x in range(5)] Dictionary Access: person["name"] 6️⃣ File Handling Read File: with open("file.txt", "r") as f: content = f.read() Write File: with open("file.txt", "w") as f: f.write("Hello, World!") 7️⃣ Exception Handling try: result = 10 / 0 except ZeroDivisionError: print("Cannot divide by zero!") finally: print("Done") 8️⃣ Modules & Packages Importing: import math print(math.sqrt(25)) Creating a Module (mymodule.py): def add(x, y): return x + y Usage: from mymodule import add 9️⃣ Object-Oriented Programming (OOP) Defining a Class: class Person: def init(self, name, age): self.name = name self.age = age def greet(self): return f"Hello, my name is {self.name}" Creating an Object: p = Person("Alice", 25) 🔟 Useful Libraries NumPy: import numpy as np Pandas: import pandas as pd Matplotlib: import matplotlib.pyplot as plt Requests: import requests

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Python Detailed Roadmap 🚀 📌 1. Basics ◼ Data Types & Variables ◼ Operators & Expressions ◼ Control Flow (if, loops) 📌 2. Functions & Modules ◼ Defining Functions ◼ Lambda Functions ◼ Importing & Creating Modules 📌 3. File Handling ◼ Reading & Writing Files ◼ Working with CSV & JSON 📌 4. Object-Oriented Programming (OOP) ◼ Classes & Objects ◼ Inheritance & Polymorphism ◼ Encapsulation 📌 5. Exception Handling ◼ Try-Except Blocks ◼ Custom Exceptions 📌 6. Advanced Python Concepts ◼ List & Dictionary Comprehensions ◼ Generators & Iterators ◼ Decorators 📌 7. Essential Libraries ◼ NumPy (Arrays & Computations) ◼ Pandas (Data Analysis) ◼ Matplotlib & Seaborn (Visualization) 📌 8. Web Development & APIs ◼ Web Scraping (BeautifulSoup, Scrapy) ◼ API Integration (Requests) ◼ Flask & Django (Backend Development) 📌 9. Automation & Scripting ◼ Automating Tasks with Python ◼ Working with Selenium & PyAutoGUI 📌 10. Data Science & Machine Learning ◼ Data Cleaning & Preprocessing ◼ Scikit-Learn (ML Algorithms) ◼ TensorFlow & PyTorch (Deep Learning) 📌 11. Projects ◼ Build Real-World Applications ◼ Showcase on GitHub 📌 12. ✅ Apply for Jobs ◼ Strengthen Resume & Portfolio ◼ Prepare for Technical Interviews Like for more ❤️💪

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