Software Alternatives, Accelerators & Startups

Think Python VS Stats

Compare Think Python VS Stats and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Think Python logo Think Python

Learning Resources

Stats logo Stats

Simple macOS system monitor in your menu bar.
  • Think Python Landing page
    Landing page //
    2023-09-24
  • Stats Landing page
    Landing page //
    2023-10-09

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  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages.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.

Stats features and specs

  • Open Source
    Being open source, Stats allows users to inspect, modify, and enhance the code to suit their needs. This fosters transparency and community collaboration.
  • User-Friendly Interface
    Stats offers a clean and intuitive interface, making it easy for users to monitor various system parameters like CPU usage, memory usage, disk activity, and more.
  • Customization
    Users can customize which metrics to display and how they are presented, providing a personalized experience tailored to individual user needs.
  • Compatibility
    Stats is compatible with macOS, making it an excellent choice for Mac users who want a native monitoring tool.
  • Regular Updates
    The project receives regular updates and improvements, ensuring it stays relevant and bug-free over time.
  • Lightweight
    Stats is a lightweight application that doesnโ€™t consume much of your system's resources, allowing it to run in the background without impacting performance.

Possible disadvantages of Stats

  • Limited to macOS
    Stats is only available for macOS, limiting its usability to users on other operating systems like Windows or Linux.
  • Dependency on External Libraries
    Since it relies on external libraries and frameworks, there could be compatibility issues or additional vulnerabilities that arise from these dependencies.
  • Steep Learning Curve for Non-Techies
    While the interface is user-friendly for tech-savvy individuals, non-technical users might find it challenging to interpret the data provided by the app.
  • Community-Driven Support
    As an open-source project, user support is predominantly community-driven, which might not always be as timely or reliable as dedicated commercial support.
  • Potential Bugs
    Like any open-source project, there could be bugs or unfinished features that might disrupt the user experience until they are patched by the community.

Analysis of Stats

Overall verdict

  • Yes, Stats on GitHub can be considered good as it helps in providing valuable insights that can enhance project management, collaboration, and improve project outcomes by facilitating data-driven decisions.

Why this product is good

  • Stats on GitHub provides a variety of data analytics and insights tools for developers and organizations to track, manage, and optimize their repositories. It offers features like tracking code contributions, issue resolutions, project activity, and user engagement which are essential for understanding the health and productivity of development projects.

Recommended for

  • Project managers
  • Developers interested in tracking their open-source contributions
  • Organizations looking to improve software development efficiency
  • Teams seeking to monitor and improve code quality

Think Python videos

Thoughts on Think Python From a Beginner Programmer

More videos:

Stats videos

AP Stats - Cram Review (2019)

Category Popularity

0-100% (relative to Think Python and Stats)
Online Learning
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Development
100 100%
0% 0
Log Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Stats seems to be a lot more popular than Think Python. While we know about 97 links to Stats, we've tracked only 9 mentions of Think 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.

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

Stats mentions (97)

  • Building a macOS app to know when my Mac is thermal throttling
    You can just ping your CPU usage to the menu bar and monitor that. I have CPU and total system wattage up there so I always know if something weird is going on. https://github.com/exelban/stats. - Source: Hacker News / 8 months ago
  • Leaked Apple M5 9 core Geekbench scores
    Try installing Vitals.app open source app to see what's going on: https://github.com/hmarr/vitals Stats is another good one too: https://github.com/exelban/stats. - Source: Hacker News / 11 months ago
  • Ask HN: What macOS apps/programs do you use daily and recommend?
    * MacPorts: Everything you need to make Apple Unix equivalent to a Linux box, plus more. Works with the Apple OS, not against it. Doesn't put things in weird places or expect to disable SIP etc. Updates the old versions of CLI stuff that is in the standard MacOS (eg bash, GNU utilities etc). * iTerm2: Awesome terminal. In terms of MacOS stuff to enhance the out-of-the-box: * Bartender to control what shows on the... - Source: Hacker News / about 2 years ago
  • Nvtop: Linux Task Monitor for Nvidia, AMD and Intel GPUs
    Its not a terminal app like bottom or nvtop but I use https://github.com/exelban/stats and it has iGPU stats. - Source: Hacker News / over 2 years ago
  • Hard disk LEDs and noisy machines
    Iโ€™ve found stats [1] to be a great open source alternative to the iStat Menus system monitor app mentioned in the article. [1] https://github.com/exelban/stats. - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

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

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

iStat Menus - "An advanced Mac system monitor for your menubar."

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.

Rectangle - Window management app based on Spectacle, written in Swift.

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.

Open Hardware Monitor - Monitors temperature sensors, fan speeds, voltages, load and clock speeds, with optional graph.