{"id":29486491,"url":"https://github.com/muhdasif1/python-programming-language-2025","last_synced_at":"2026-04-16T19:34:21.260Z","repository":{"id":304201475,"uuid":"1018083327","full_name":"muhdasif1/Python-Programming-Language-2025","owner":"muhdasif1","description":"A beginner-friendly yet comprehensive crash course on Python programming in 2025! 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Download VS Code: [https://code.visualstudio.com/](https://code.visualstudio.com/)\n2. Install the **Python extension** from Microsoft via the Extensions tab.\n3. Use the integrated terminal to run Python scripts easily.\n4. Customize your workspace with themes, linters, and formatters for a better coding experience.\n\n---\n\n## 📚 Recommended Book\n\nFor additional learning, check out the highly recommended book:\n\n📘 [**Python Crash Course by Eric Matthes**](https://www.amazon.com/Python-Crash-Course-Eric-Matthes/dp/1718502702)\n\nThis book offers a hands-on, project-based approach to mastering Python programming.\n\n![python book](https://github.com/user-attachments/assets/efa56575-5dae-48f0-bf1b-b8a6e0829d90)\n\n\nUse the link below to access and download the Python book free of charge via Google Drive \n[**Python  book free**](https://drive.google.com/file/d/1nZc0HqA2MEiPl4Dy8IA9KLjnnEpy3W4Q/view?usp=sharing)\n\n---\n\n\u003e 📈 This chart shows the **Top Programming Languages on GitHub** (2014–2024), ranked by the number of distinct users contributing to repositories using each language.\n\n### Key Insights from the Chart\n- **Python** has risen to become the **#1 most popular language on GitHub** as of 2024.\n- **JavaScript** remains strong, now ranked #2.\n- **TypeScript** is rapidly growing and holds the #3 spot.\n- The rise of Python is largely driven by its use in **AI/ML**, **data science**, **automation**, and **web development**.\n- Languages like Objective-C and Ruby have declined in popularity.\n\nThis trend highlights the **importance of Python** in the current tech landscape and justifies why it's a great language to learn — especially for beginners looking to future-proof their careers.\n\n---\n# What is a Computer?\n\nA **computer** is an **electronic machine** that processes data and performs tasks according to instructions (**programs**).\n\n\n## In Simple Terms\n\n- **Input** → Data you give it  \n- **Processing** → CPU \u0026 memory work on the data  \n- **Output** → Results you see, hear, or use  \n- **Storage** → Keeps data for future use  \n\n## Examples of Computers\n\n- 💻 **Laptop** → Used for study or work  \n- 📱 **Smartphone** → A small but powerful computer  \n- 🖥️ **Supercomputer** → Used in science, weather forecasting, AI, etc.  \n\n\u003cimg width=\"1536\" height=\"1024\" alt=\"computer\" src=\"https://github.com/user-attachments/assets/417b2ebb-b7cc-4df7-82e0-2054c42732d5\" /\u003e\n\n---\n\n# What is Programming?\n\n**Programming** is the process of creating a set of instructions that a computer can follow to perform specific tasks.  \nThese instructions are written in a **programming language** such as Python, Java, or C++.  \n\nProgramming allows humans to communicate with computers and build applications, websites, games, and even artificial intelligence systems.  \n\n## Key Points\n\n- Programming = **Giving instructions to a computer**  \n- Done using **programming languages**  \n- Helps automate tasks, solve problems, and create software  \n- Used in every field: **web, mobile, AI, data science, robotics, business software, and more**  \n\n\n## How Programming Works\n\n1. **Write Code** → The programmer writes instructions in a chosen language (e.g., Python).  \n2. **Compile/Interpret** → The code is translated into machine language that the computer understands.  \n3. **Execute** → The computer carries out the instructions step by step.  \n4. **Output** → The result is shown to the user (text, sound, images, etc.).\n\n\u003cimg width=\"1536\" height=\"1024\" alt=\"c\" src=\"https://github.com/user-attachments/assets/9921b0f7-dcb9-410f-8b78-a6dfbaa1b97c\" /\u003e\n\n# High-level vs Low-level Programming Languages\n\n## Overview\n\nProgramming languages sit on a spectrum from *human-friendly* (high-level) to *machine-friendly* (low-level). The choice affects readability, portability, performance, and control over hardware.\n\n## High-level Programming Languages\n\n**Definition:** Languages that are close to natural human language and abstract away most hardware details.\n\n**Characteristics:**\n\n* Readable and concise syntax\n* Automatic memory management (often)\n* Portable across platforms\n* Rich standard libraries and frameworks\n* Slower (usually) than low-level due to abstraction\n\n**Common examples:** Python, Java, JavaScript, Ruby, C#.\n\n**Simple example (Python):**\n\n```python\n# hello.py\nprint(\"Hello, world!\")\n```\n\n**Typical use cases:** web development, data science, automation, desktop/mobile apps, rapid prototyping.\n\n## Low-level Programming Languages\n\n**Definition:** Languages that provide little abstraction from a computer’s instruction set; they map closely to machine operations.\n\n**Characteristics:**\n\n* Direct hardware access and fine-grained control\n* Manual memory management (often)\n* Fast and efficient\n* Harder to read and write\n\n**Types \u0026 examples:**\n\n* **Machine code:** binary instructions (0s and 1s) executed by the CPU\n* **Assembly language:** human-readable mnemonics for machine instructions (e.g., `MOV`, `ADD`)\n\n**Simple example (x86-like assembly pseudo):**\n\n```asm\n; move value 5 into register eax\nMOV EAX, 5\n; call OS to print or perform syscall (platform dependent)\n```\n\n**Typical use cases:** operating systems, embedded systems, device drivers, performance-critical components.\n\n\n## Quick Comparison\n\n| Aspect                |      High-level | Low-level |\n| --------------------- | --------------: | --------: |\n| Readability           |            High |       Low |\n| Performance           | Lower (usually) |    Higher |\n| Portability           |            High |       Low |\n| Control over hardware |             Low |      High |\n| Learning curve        |          Easier |   Steeper |\n\n\n## When to choose which\n\n* Use **high-level** when you need speed of development, portability, and a large ecosystem (e.g., web apps, data analysis).\n* Use **low-level** when you need maximum performance, minimal overhead, or direct hardware access (e.g., firmware, kernels).\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhdasif1%2Fpython-programming-language-2025","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhdasif1%2Fpython-programming-language-2025","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhdasif1%2Fpython-programming-language-2025/lists"}