Software Alternatives, Accelerators & Startups

FLATHUB VS Invent With Python

Compare FLATHUB VS Invent With Python and see what are their differences

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FLATHUB logo FLATHUB

Apps for Linux, right here

Invent With Python logo Invent With Python

Learn to program Python for free
  • FLATHUB Landing page
    Landing page //
    2023-09-21
  • Invent With Python Landing page
    Landing page //
    2022-10-05

FLATHUB features and specs

  • Wide Range of Applications
    Flathub offers a vast collection of applications, providing users with a diverse selection of software from various categories.
  • Cross-Distribution Compatibility
    Flathub applications are distributed in the Flatpak format, which is compatible with multiple Linux distributions, enhancing software portability.
  • Isolation and Security
    Flatpak's sandboxing mechanism ensures applications are isolated from the system, increasing security by limiting potential damage from compromised software.
  • Frequent Updates
    Applications on Flathub are regularly updated, ensuring users have access to the latest features and security fixes.
  • Ease of Installation
    Flathub simplifies the installation process with straightforward, user-friendly commands and a graphical interface for installing applications.

Possible disadvantages of FLATHUB

  • Storage Overhead
    Flatpak applications can require more disk space compared to traditional package formats due to bundled dependencies.
  • Performance Overhead
    The additional layer of abstraction and sandboxing in Flatpak can introduce slight performance overhead when running applications.
  • Limited Native Integration
    Flatpak applications may not integrate as seamlessly with the host system as native packages, potentially leading to inconsistencies in user experience.
  • Dependency Redundancy
    Since each Flatpak application bundles its own dependencies, there can be redundancy, leading to multiple versions of the same library installed on the system.
  • Learning Curve
    New users may face a learning curve when transitioning from traditional package managers to using Flatpak and Flathub.

Invent With Python features and specs

  • Beginner-Friendly
    Invent With Python offers a gentle introduction to programming for beginners, using engaging and straightforward examples that make learning fun and approachable.
  • Free Resources
    The website provides free access to its content, including complete books, which removes financial barriers for learners and educators looking for quality programming materials.
  • Hands-On Projects
    The site emphasizes learning by doing, with numerous hands-on projects and exercises that help learners apply concepts in practical scenarios.
  • Step-by-Step Instructions
    Each project and concept is broken down into clear, step-by-step instructions, making it easier for learners to follow along and understand complex ideas.
  • Wide Range of Topics
    The site covers a diverse array of programming topics, from basic syntax to more advanced concepts, catering to a broad audience with varying levels of experience.

Possible disadvantages of Invent With Python

  • Limited Advanced Content
    While great for beginners, the website may not offer enough depth or advanced content for more experienced programmers looking to deepen their knowledge.
  • Python-Focused
    The resources are primarily focused on Python, which might not be as useful for learners who want to explore other programming languages or languages more commonly used in certain industries.
  • Self-Paced Learning Challenges
    Self-paced learning requires a high level of self-motivation and discipline, which can be challenging for some learners who might benefit from more structured environments or instructor-led courses.
  • Lack of Interactive Features
    The website's content is predominantly in book format, which may lack the interactive elements and immediate feedback found in other online learning platforms that support coding sandboxes or quizzes.

FLATHUB videos

Install Linux Apps With Flathub & Flatpak

Invent With Python videos

No Invent With Python videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to FLATHUB and Invent With Python)
Front End Package Manager
Education
0 0%
100% 100
Developer Tools
48 48%
52% 52
Game Development
0 0%
100% 100

User comments

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Social recommendations and mentions

FLATHUB might be a bit more popular than Invent With Python. We know about 198 links to it since March 2021 and only 140 links to Invent With Python. 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.

FLATHUB mentions (198)

  • Vala Programming Language
    There are a lot of third-party Linux apps built with GTK4/Libadwaita. If you just to to https://flathub.org and click on random apps a lot of them will use GTK. - Source: Hacker News / about 1 year ago
  • Saving Linux Desktop. Unifying repositories is the only way
    I would recommend taking a look at Flatpak. Source: over 1 year ago
  • useful linux/android software sources
    Flathub flatpak format apps/games for linux desktop, does not require any specific linux distribution just that flatpak is present on the system. Source: over 1 year ago
  • Gnome developer proposes removing the X11 session
    Which X clients are these? You didn't name any so let's just look at some of the popular and recent flathub apps: https://flathub.org/ I see a lot of games, chat apps, text editors, photo apps, office apps. These all will work fine in XWayland and XQuartz. But also, it's relatively easy to get them running on Wayland natively. - Source: Hacker News / over 1 year ago
  • Are there any major sacrifices you make to play on Linux over Windows?
    If you're worried about the potential of breaking things, I'd pick the Fedora Kinoite distro. Up to date gaming support, stable and extremely difficult to break. Install apps from Flathub using the built-in Discover software store and go nuts. Source: over 1 year ago
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Invent With Python mentions (140)

  • Courses/Resources to prepare a 12 year old for the future of Coding/AI.
    Not courses, but Al Sweigart's "Invent with Python" are excellent. (The two games books and code cracking are excellent to start with.) Https://inventwithpython.com/. Source: over 1 year ago
  • Books for a young person to learn how to code with Raspberry Pi
    Check /u/alsweigart' s books on Automate the Boring Stuff with Python and on Invent your own Computer Games with Python. Source: over 1 year ago
  • 2,000 free sign ups available for the "Automate the Boring Stuff with Python" online course. (July 2023)
    This Udemy course covers roughly the same content as the 1st edition book (the book has a little bit more, but all the basics are covered in the online course), which you can read for free online at https://inventwithpython.com. Source: almost 2 years ago
  • What is a good way for non-creatives to express creativity in a way that feels comfortable to them?
    I also consider computer programming to be very creative. You may wish to learn the Python language. Python is a great starting language and very practical. There's some excellent free books here https://inventwithpython.com/ His book Automate the Boring Stuff with Python is very practical with real world uses. Source: almost 2 years ago
  • [Serious] What are some really cool hacker tactics to try at home, on your PC?
    If that doesn't take your fancy then check out his other Python books here https://inventwithpython.com/. Source: almost 2 years ago
View more

What are some alternatives?

When comparing FLATHUB and Invent With Python, you can also consider the following products

Flatpak - Flatpak is the new framework for desktop applications on Linux

Scratch - Scratch is the programming language & online community where young people create stories, games, & animations.

Snapcraft - Snaps are software packages that are simple to create and install.

Mode Python Notebooks - Exploratory analysis you can share

AppImageKit - Linux apps that run anywhere

One Month Python - Learn to build Django apps in just one month.