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Engrampa VS Think Python

Compare Engrampa VS Think Python and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Engrampa logo Engrampa

A file archiver for MATE, based on File Roller from GNOME 2 http://www.mate-desktop.org/

Think Python logo Think Python

Learning Resources
  • Engrampa Landing page
    Landing page //
    2023-09-21
  • Think Python Landing page
    Landing page //
    2023-09-24

Engrampa features and specs

  • Integration with MATE Desktop
    Engrampa is a default archiver for the MATE Desktop Environment, offering seamless integration and a consistent user experience within the MATE interface.
  • Support for Multiple Formats
    Engrampa supports a wide range of archive formats like zip, tar, gzip, bzip2, and more, making it versatile for various compression needs.
  • User-Friendly Interface
    Its graphical user interface is straightforward and easy to use, catering to users who prefer GUI-based tools over command-line operations.
  • Free and Open Source
    Engrampa is open-source software, allowing users to contribute to its development, customize it, and use it freely without licensing costs.
  • Lightweight
    Designed to be lightweight, Engrampa is efficient in terms of system resource usage, making it suitable for older machines or those with limited resources.

Possible disadvantages of Engrampa

  • Limited Advanced Features
    Compared to some other archiving tools, Engrampa might lack advanced features needed by power users, such as multi-volume archiving or automation scripts.
  • Primarily for MATE Users
    While it can be used outside of MATE, Engrampa is largely tailored to users of the MATE Desktop Environment, which might limit its appeal to users of other desktop environments.
  • Potential for Fewer Updates
    As a community-driven project, the frequency and scope of updates and enhancements might not be as robust as those provided by commercial software.
  • Relatively Niche User Base
    Since it's part of the MATE ecosystem, Engrampa might have a smaller user base compared to more ubiquitous archiving tools, potentially resulting in less community support.

Think Python features and specs

  • Accessible for Beginners
    Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
  • Practical Examples
    The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
  • Free Availability
    Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
  • Emphasis on Problem Solving
    The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages of Think Python

  • Limited Depth
    While suitable for beginners, the book doesnโ€™t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
  • Pacing
    Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
  • Lack of Exercises
    There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

Engrampa videos

+ Add

The return of engrampa Thunar (Arch Linux)

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

Category Popularity

0-100% (relative to Engrampa and Think Python)

Engrampa

Think Python

Archiver
100 100%
Archiver
0% 0
Online Learning
0 0%
Online Learning
100% 100
Archive Manager
100 100%
Archive Manager
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using Engrampa and Think Python. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Think Python should be more popular than Engrampa. It has been mentiond 9 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.

Engrampa mentions (2)

  • TIL there's a fork of the unmaintained p7zip port of 7-Zip
    The p7zip port of 7-Zip is several releases behind and the project seems to be abandoned. I discovered this when a large archive failed to extract with Engrampa which uses it. It reported a "Headers Error" which is due to a compatibility problem between zip format implementations. 7-Zip has a fix but the port doesn't. But there's a fork on GitHub which is being actively maintained. Check it out. Source: over 4 years ago
  • What compression tool you mainly use?
    I use Engrampa. Which archive format I use depends on the use case. For example, if Windows users are involved, I usually use Rar archives. Under Linux, I usually use tar.xz. Source: over 5 years ago

Think Python mentions (9)

  • C949 help and Jay Wengrow's Guide to Data Structures
    This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
  • Best place to learn and practice python?
    Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
  • Which books should I read to learn computer science with python language?
    In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science โ€” For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
View more

What are some alternatives?

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

The Unarchiver - Get the top application for archives on Mac. It's a RAR extractor, it allows you to unzip files, and works with dozens of other formats.

Google's Python Class - Assorted educational materials provided by Google.

Explzh for Windows - Powerful explorer-like archive software for Windows.

The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

ArKiwi - A lightweight and very fast file archiver, where you can add, compress, extract, delete, password protect, and blazing fast search all your files.

A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.

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