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Python VS awesome

Compare Python VS awesome and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. sponsored
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Python logo Python

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

awesome logo awesome

A dynamic window manager for the X Window System developed in the C and Lua programming languages.
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

  • awesome Landing page
    Landing page //
    2022-12-19

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.

awesome features and specs

  • Highly Configurable
    Awesome is extremely configurable, allowing users to customize their environment to fit their specific workflow.
  • Lightweight
    As a tiling window manager, Awesome is very lightweight and consumes minimal resources, which is ideal for older hardware or minimal setups.
  • Lua Scripting
    Configuration is done through Lua scripting, which provides powerful and flexible customization options.
  • Tiling and Dynamic Layouts
    Awesome offers both tiling and floating window management with dynamic layouts that adjust based on user preference.
  • Active Community
    The Awesome community is active and supportive, providing ample documentation and user-contributed modules and configurations.

Possible disadvantages of awesome

  • Steep Learning Curve
    Due to its extensive configurability and scripting-based setup, Awesome can be challenging for newcomers to get accustomed to.
  • Limited Graphical Configuration Tools
    Configuration is done mainly through text files and scripts, which can be daunting for users who prefer graphical interfaces.
  • Sparse Default Configuration
    The default configuration of Awesome is fairly minimal, requiring significant setup time to create a personalized environment.
  • Performance Overhead with Complex Scripts
    While Lua scripting is powerful, highly complex scripts can introduce performance overhead, potentially impacting the system's responsiveness.
  • Compatibility Issues
    Certain applications that are designed with floating window managers in mind may not function optimally with Awesome's tiling system.

Analysis of awesome

Overall verdict

  • Yes, awesome (awesome.naquadah.org) is good.

Why this product is good

  • Awesome is a highly configurable and extensible window manager for the X Window System. It is designed to be fast, with minimal system resource usage, and to provide a powerful and flexible environment for managing windows. Users appreciate its customizability and scripting capabilities, making it suitable for advanced users who enjoy tweaking their setup.

Recommended for

  • Users who prefer a minimalist desktop environment for efficiency and speed.
  • Advanced users who enjoy customizing their workflow with Lua scripting.
  • Users seeking a tiling window manager to enhance productivity.
  • Developers and power users who appreciate a high degree of control over their window management.

Python videos

+ Add

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

awesome videos

+ Add

Surface Go Review - Itโ€™s Awesome

More videos:

  • Review - RICO (PC) - Why it's Awesome - Review
  • Review - Awesome review of the 80's Hollow Handled Survival Knife!!
  • Review - My God is Awesome- Charles Jenkins

Category Popularity

0-100% (relative to Python and awesome)

Python

awesome

Programming Language
100 100%
Programming Language
0% 0
Window Manager
0 0%
Window Manager
100% 100
OOP
100 100%
OOP
0% 0
Linux
0 0%
Linux
100% 100

User comments

Share your experience with using Python and awesome. For example, how are they different and which one is better?
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Reviews

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

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...
Source: www.analyticsinsight.net
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.
Source: blog.back4app.com
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...
Source: searchbusinessanalytics.techtarget.com
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

awesome Reviews

Top 13 Best Tiling Window Managers For Linux In 2022
Awesome is a free & open-source next-generation tiling manager for X that is designed to be fast and adaptable, with a focus on developers, power users, and anyone who wants to have more control over their graphical environment.
Source: www.hubtech.org
13 Best Tiling Window Managers for Linux
awesome is a free and open-source next-generation tiling manager for X built to be fast and extensible and it is primarily aimed at developers, power users, and anyone who would like to control their graphical environment.
Source: www.tecmint.com
5 Great Tiling Window Managers for Linux
Awesome has a unique take on the concept of a tiling window manager. It is probably the most user-friendly on the list. Much like i3, it claims to have well-documented code to make it very easy to dig right into for modifications. It adheres to FreeDesktop standards (Desktop notifications system, system tray, etc.) and has great keybindings which make navigating with it...
Source: www.maketecheasier.com

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 300 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.

Python mentions (300)

  • Self-contained highly-portable Python distributions
    > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / 22 days ago
  • 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 / 3 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 / 3 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 / 5 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 / 7 months ago
View more

awesome mentions (0)

We have not tracked any mentions of awesome yet. Tracking of awesome recommendations started around Mar 2021.

What are some alternatives?

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

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

i3 - A dynamic tiling window manager designed for X11, inspired by wmii, and written in C.

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

Openbox - Openbox is a highly configurable, next generation window manager with extensive standards support.

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

dwm - dwm is a dynamic window manager for X. It manages windows in tiled, monocle and floating layouts. All of the layouts can be applied dynamically, optimising the environment for the application in use and the task performed.

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