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Coffitivity VS Think Python

Compare Coffitivity 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

Coffitivity logo Coffitivity

Our coffee shop sounds boost creativity

Think Python logo Think Python

Learning Resources
  • Coffitivity Landing page
    Landing page //
    2018-11-30
  • Think Python Landing page
    Landing page //
    2023-09-24

Coffitivity features and specs

  • Enhanced Creativity
    Coffitivity is designed to recreate the ambient sounds of a coffee shop, which can help stimulate creativity for people who find gentle background noise inspiring.
  • Improved Concentration
    For individuals who work better with some level of background noise, Coffitivity can provide an ideal environment that helps maintain focus and sustain concentration.
  • Remote Work Aid
    As a tool especially useful for remote workers, Coffitivity can create a semblance of a public working environment that might be lacking at home, helping to establish routine and rhythm.
  • Simple and User-friendly
    The website offers a straightforward user experience, allowing users to easily select different coffee shop sounds without complicated settings or controls.

Possible disadvantages of Coffitivity

  • Limited Sound Options
    Coffitivity offers a limited range of ambient soundtracks, which may not suit everyoneโ€™s preferences or may become repetitive over time.
  • No Customization
    The platform lacks features to adjust sound levels or mix in other audio, limiting users who want more personalized sound environments.
  • Subscription Requirement for Premium Features
    Some of Coffitivityโ€™s soundtracks are locked behind a paywall, requiring a subscription for full access, which can be a downside for users seeking a free experience.
  • Doesn't Suit Everyoneโ€™s Work Style
    Not all users find background noise productive; some may find it distracting, making Coffitivity unsuitable for everyone.

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.

Coffitivity videos

+ Add

Coffitivity for iPhone Review: Ambient Sounds

More videos:

  • Review - Mac App Coffitivity review
  • Review - APP | Coffitivity

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

Category Popularity

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

Coffitivity

Think Python

Music
100 100%
Music
0% 0
Online Learning
0 0%
Online Learning
100% 100
Focus Music
100 100%
Focus Music
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using Coffitivity 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, Coffitivity should be more popular than Think Python. It has been mentiond 35 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.

Coffitivity mentions (35)

  • The ADHD Body Double: A Unique Tool for Getting Things Done
    I like to listen to https://coffitivity.com to stay concentrated. - Source: Hacker News / over 1 year ago
  • Ambient noise player to block out distracting noise and help you focus and concentrate.
    Is this like https://coffitivity.com/. Source: over 2 years ago
  • Do I just lie about wfh?
    With that said, if you aren't working with confidential data, why not? I am a coder working with public open source, so I work wherever I want. I rarely go out anymore, though. It's a pain. I tend to use noise generators to get lost at home, like Coffitivity.com. They have a bunch of noises to simulate a coffee shop. I can see how that wouldn't work for everyone, though. Just an option. Source: almost 3 years ago
  • Do you listen to music when you are studying or doing mentally straining tasks that require focus?
    Two things work very well for me. First is the sounds of a coffee shop. If I canโ€™t have the real thing, I use https://coffitivity.com. Source: about 3 years ago
  • Do noise canceling headphones help you focus better in general while studying?
    Https://coffitivity.com - Iโ€™ve been using this sometimes with and sometimes without headphones. Also I like the soundscapes from the Calm App. But icl I donโ€™t think the type of headphones make a difference - considering youโ€™re in a quite environment already? Source: about 3 years ago
View more

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 Coffitivity and Think Python, you can also consider the following products

MyNoise - Custom shaped online noise machines. Many Many generic sounds

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

A Soft Murmur - Ambient sounds to wash away distraction.

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.

Noisli - Noisli is a fantastic background noise and color generator for working and relaxing. Online soothing ambient sounds like White noise, Rain and Coffee Shop.

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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