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Python Cheatsheet 👆

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Built-in Data Types in Python 👆

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🔰 R Programming Roadmap for Beginners 2025 ├── 🧠 What is R? Why Use It in Data Science? ├── 🖥️ Installing R & RStudio ├── 🔤 Data Types & Variables in R ├── 🔄 Control Structures (if, else, loops) ├── 🧮 Functions in R ├── 📊 Data Frames, Lists, Vectors, Matrices ├── 📂 Reading Data (CSV, Excel, Web) ├── 🧹 Data Cleaning with dplyr ├── 📈 Data Visualization with ggplot2 ├── 🧠 Basic Statistics in R ├── 📦 Working with Tidyverse ├── 🔁 Writing Custom Functions & Scripts ├── ⚙️ R Markdown & Report Generation ├── 🧪 R Projects: │ ├── Covid-19 Data Tracker │ ├── Movie Ratings Visualizer │ ├── Sales Dashboard using shiny #Programming

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🔰 C++ Roadmap for Beginners 2025 ├── 🧠 Introduction to C++ & How It Works ├── 🧰 Setting Up Environment (IDE, Compiler) ├── 📝 Basic Syntax & Structure ├── 🔢 Variables, Data Types & Constants ├── ➕ Operators (Arithmetic, Relational, Logical, Bitwise) ├── 🔁 Flow Control (if, else, switch) ├── 🔄 Loops (for, while, do...while) ├── 🧩 Functions (Declaration, Definition, Recursion) ├── 📦 Arrays, Strings & Vectors ├── 🧱 Pointers & References ├── 🧮 Dynamic Memory Allocation (new, delete) ├── 🏗 Structures & Unions ├── 🏛 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism) ├── 📂 File Handling in C++ ├── ⚠️ Exception Handling ├── 🧠 STL (Standard Template Library - vector, map, set, etc.) ├── 🧪 Mini Projects (Bank System, Student Record, etc.) Like for the detailed explanation ❤️ #c++ #programming

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I’ve never met an awesome software developer who: - Thought learning new frameworks was a waste. - Avoided refactoring because “it already works.” - Avoided debugging because it was frustrating. - Never deleted code they once proudly wrote. - Never pushed code that broke in production. - Stuck to one programming language forever. - Stopped learning after getting their first job. - Didn’t rewrite their code later. - Only worked on projects that felt safe. - Refused to ask questions when stuck. Great developers aren’t perfect. They take risks. They make mistakes. They debug endlessly. They make wrong estimates. But during all that, They learn. And that’s exactly why they grow. Keep that in mind

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Top 10 Python Concepts Variables & Data Types Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries. Control Flow (if, else, elif) Write logic-based programs using conditional statements. Loops (for & while) Automate tasks and iterate over data efficiently. Functions Build reusable code blocks with def, understand parameters, return values, and scope. List Comprehensions Create and transform lists concisely: [x*2 for x in range(10) if x % 2 == 0] Modules & Packages Import built-in, third-party, or custom modules to structure your code. Exception Handling Handle errors using try, except, finally for robust programs. Object-Oriented Programming (OOP) Learn classes, objects, inheritance, encapsulation, and polymorphism. File Handling Open, read, write, and manage files using open(), read(), write(). Working with Libraries Use powerful libraries like: - NumPy for numerical operations - Pandas for data analysis - Matplotlib/Seaborn for visualization - Requests for API calls - JSON for data parsing #python

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There were a bunch of new methods added to thr Set interface in JavaScript, and here are all of them! ✨ Sets represent a collection of unordered items, and are optimised to quickly find if a particular item exists in a collection or not. These methods help to reduce a lot of boilerplate code which would be required otherwise!

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How to convert image to pdf in Python # Python3 program to convert image to pfd # using img2pdf library   # importing necessary libraries import img2pdf from PIL import Image import os   # storing image path img_path = "Input.png"   # storing pdf path pdf_path = "file_pdf.pdf"   # opening image image = Image.open(img_path)   # converting into chunks using img2pdf pdf_bytes = img2pdf.convert(image.filename)   # opening or creating pdf file file = open(pdf_path, "wb")   # writing pdf files with chunks file.write(pdf_bytes)   # closing image file image.close()   # closing pdf file file.close()   # output print("Successfully made pdf file") pip3 install pillow && pip3 install img2pdf