Software Alternatives, Accelerators & Startups

Python VS NASM

Compare Python VS NASM and see what are their differences

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Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

NASM logo NASM

The Netwide Assembler, NASM, is an 80x86 and x86-64 assembler designed for portability and...
  • Python Landing page
    Landing page //
    2021-10-17

  • NASM Landing page
    Landing page //
    2021-10-11

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

NASM features and specs

  • Standardization
    NASM (Netwide Assembler) uses a standard and simple syntax that is consistent across different platforms and projects, making it easier for programmers to read and write assembly code.
  • Cross-Platform
    NASM supports multiple operating systems, including Windows, Linux, and macOS, allowing developers to write assembly code that can be assembled on different platforms.
  • Wide Compatibility
    NASM is compatible with numerous output formats such as ELF, COFF, and Mach-O, which makes it versatile for different types of development, including system-level programming and application software.
  • Open Source
    Being open source, NASM allows developers to contribute to its development or adapt it to fit specific needs, granting a high degree of flexibility and customization.
  • Active Community
    NASM has an active user and developer community, providing extensive support, resources, and regular updates that help address issues and enhance features.

Possible disadvantages of NASM

  • Low-Level Language
    Writing in assembly language, including NASM, is inherently low-level, making it complex and time-consuming compared to high-level programming languages.
  • Steep Learning Curve
    NASM requires a significant understanding of assembly language and computer architecture, which may present a steep learning curve for beginners.
  • Error-Prone
    Due to its low-level nature, development in NASM is prone to errors, such as memory management bugs, which can be difficult to debug.
  • Limited Use Cases
    While powerful, NASM is generally used for specific use cases like embedded systems, operating system development, or performance-critical applications, limiting its utility for general software development.
  • Maintenance Difficulty
    Assembly code is less maintainable over time compared to high-level languages, as it can be harder for developers to understand and update long after it was originally written.

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

NASM videos

Why you should NOT get the NASM CPT || Certification

More videos:

  • Review - NASM CPT Certification | Chapter 1-20 Review |SHOW UP FITNESS PASS NASM GUARANTEED ONLINE INTERNSHIP
  • Review - NASM CPT review

Category Popularity

0-100% (relative to Python and NASM)
Programming Language
100 100%
0% 0
IDE
0 0%
100% 100
OOP
100 100%
0% 0
Text Editors
84 84%
16% 16

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and NASM

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

NASM Reviews

We have no reviews of NASM yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than NASM. While we know about 299 links to Python, we've tracked only 4 mentions of NASM. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
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NASM mentions (4)

  • Building a Web Server from Scratch (No, Actually)
    So in the rest of this article, I'll explain how I built NASMServer, the 95% NetWide assembly web server that runs douxx.tech. - Source: dev.to / 4 months ago
  • How to improve at x86/C?
    Try https://nasm.us/ as a modern way to use assembly. Source: about 3 years ago
  • Help needed for asm related project
    Assembly is machine specific, have a look at NASM for a more generic assembly language. https://nasm.us/. Source: over 3 years ago
  • vcpkg now (finally) has site with search functionality
    I have a weird problem: when I try using vcpkg on my work laptop, it cannot download nasm. Instead of nasm, I get an HTML page that explains that I am kept safe and secure by CSIS who blocked downloads from this dangerous domain. Vcpkg barfs on the HTML file (as it should). Source: about 5 years ago

What are some alternatives?

When comparing Python and NASM, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Bark.com - Bark.com is one of the leading marketplaces to find professionals and save time to get your job done.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Fiverr - One marketplace, millions of professional services.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Upwork - Forget the old rules. You can have the best people. Right now. Right here.