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AWK VS Python

Compare AWK VS Python and see what are their differences

AWK logo AWK

Linux users can perform many types of searching, replacing and report generating tasks by using awk, grep and sed commands.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • AWK Landing page
    Landing page //
    2023-07-29
  • Python Landing page
    Landing page //
    2021-10-17

AWK features and specs

  • Text Processing
    AWK is a powerful tool designed specifically for text processing and pattern scanning, making it ideal for handling and manipulating text data efficiently.
  • Pattern Matching
    AWK provides robust pattern matching capabilities, allowing users to search, filter, and extract data based on specific patterns.
  • Built-in Variables
    It comes with numerous built-in variables that facilitate easy access to certain text elements like fields and records, simplifying data extraction and manipulation tasks.
  • Portability
    Being a standard Unix utility, AWK scripts are portable across different Unix-like systems, enhancing the reusability of scripts across various environments.
  • Conciseness
    AWK scripts tend to be concise because it offers built-in functions for common operations, reducing the amount of code that developers need to write.
  • Integration with Shell Scripts
    AWK can be easily integrated into shell scripts, thus enabling the automation of complex text processing tasks as part of larger workflows.

Possible disadvantages of AWK

  • Steep Learning Curve
    Although powerful, AWK has a steep learning curve for beginners, especially for those who are not familiar with scripting or programming concepts.
  • Performance Limitations
    AWK may not be the most efficient tool for processing very large datasets or performing complex computation-heavy tasks compared to more specialized programming languages.
  • Limited Functionality
    While suitable for text processing, AWK does not offer the comprehensive functionality of modern programming languages, limiting its use to specific tasks.
  • Less Intuitive Syntax
    The syntax of AWK can be less intuitive and harder to read, especially for those not accustomed to Unix-like command-line utilities.
  • Decreasing Popularity
    With the emergence of modern scripting languages like Python and Perl, AWK is seeing a decline in popularity, which might mean fewer updates and community support.

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.

AWK videos

Bloc fruit rumble awk showcase! :)

More videos:

  • Review - Techniques with AWK
  • Review - Magma Awk Showcase [Blox Fruits]

Python videos

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

Category Popularity

0-100% (relative to AWK and Python)
OOP
4 4%
96% 96
Programming Language
3 3%
97% 97
Generic Programming Language
Note Taking
100 100%
0% 0

User comments

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Reviews

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

AWK Reviews

We have no reviews of AWK yet.
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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 seems to be more popular. 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.

AWK mentions (0)

We have not tracked any mentions of AWK yet. Tracking of AWK recommendations started around Apr 2021.

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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What are some alternatives?

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

Perl - Highly capable, feature-rich programming language with over 26 years of development

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

GNU sed - sed (stream editor) is a Unix utility that parses text and implements a programming language which...

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

TXR - Pragmatic, convenient data munging language.

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