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Practical Common Lisp VS Python

Compare Practical Common Lisp VS Python and see what are their differences

Practical Common Lisp logo Practical Common Lisp

Learning Resources

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Practical Common Lisp Landing page
    Landing page //
    2019-12-25
  • Python Landing page
    Landing page //
    2021-10-17

Practical Common Lisp features and specs

  • Comprehensive Introduction
    The book offers a thorough introduction to Common Lisp programming, catering to both beginners and experienced programmers by covering the basics and advanced topics.
  • Practical Approach
    It emphasizes practical applications of Lisp, with numerous examples and projects that illustrate real-world usage, making it useful for learning how to write practical and efficient code.
  • Engaging Writing Style
    The author maintains an engaging and accessible writing style that keeps readers interested while explaining complex concepts in an understandable manner.
  • Free Access Online
    The book is available for free online, providing easy access to anyone interested in learning about Common Lisp without financial barriers.

Possible disadvantages of Practical Common Lisp

  • Assumes Prior Programming Knowledge
    The book may assume that readers have some programming background, which might make it challenging for complete beginners to grasp certain concepts quickly.
  • Dated Examples
    Given its publication date, some examples might be somewhat outdated in terms of current technological standards and might not represent the latest best practices in programming.
  • Focus on High-Level Understanding
    While it covers many aspects of Lisp, the book might not delve deeply into certain advanced technical details, which could be a downside for those seeking in-depth technical expertise.
  • Limited Coverage of Modern Libraries
    The book might not address newer libraries and tools that have emerged in the Lisp ecosystem since its publication, potentially missing out on some modern practices.

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.

Practical Common Lisp videos

Practical Common Lisp

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  • Review - Practical Common Lisp

Python videos

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

Category Popularity

0-100% (relative to Practical Common Lisp and Python)
Education
100 100%
0% 0
Programming Language
8 8%
92% 92
OOP
9 9%
91% 91
Learning Resources
100 100%
0% 0

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Reviews

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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

Social recommendations and mentions

Based on our record, Python should be more popular than Practical Common Lisp. It has been mentiond 299 times since March 2021. 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.

Practical Common Lisp mentions (54)

  • Microsoft makes Zork open-source
    You're kind of in luck. For a while, it was trendy (because MIT was doing it) to teach Intro to Programming with Lisps, especially Scheme. Because of this, there are quite a few "learn programming with Lisp" books and resources. The famous "SICP" book was the textbook for the MIT course and all of the examples were Lisp (there's a newer version that uses JavaScript, I think). There are loads of fine online books... - Source: Hacker News / 8 months ago
  • Which Lisp? Beginner
    I recommend starting with this free book which covers Common Lisp: https://gigamonkeys.com/book/. - Source: Hacker News / about 1 year ago
  • I Chose Common Lisp
    I began learning Common Lisp (CL) from the Common Lisp HyperSpec (CLHS): https://www.lispworks.com/documentation/HyperSpec/Front/Contents.htm When I began learning CL about two decades ago, I did not know of any other source, so CLHS was my only source back then and I think it has served me well. A popular recommendation these days is Practical Common Lisp (by Peter Seibel): https://gigamonkeys.com/book/. - Source: Hacker News / over 1 year ago
  • Holding a Program in One's Head (2007)
    A quote originally (AFAIK) from the wonderful (and free!) book 'Practical Common Lisp'. https://gigamonkeys.com/book/. - Source: Hacker News / almost 2 years ago
  • Defense of Lisp Macros
    The Giga Monkeys Book, Practical Common Lisp is also excellent: https://gigamonkeys.com/book/. - Source: Hacker News / almost 2 years ago
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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 / 3 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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What are some alternatives?

When comparing Practical Common Lisp and Python, you can also consider the following products

Land of Lisp - Learning Resources

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

Racket Lang - Racket (formerly PLT Scheme) is a modern programming language in the Lisp/Scheme family, suitable...

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

On Lisp - Learning Resources

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