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Steam Database VS Think Python

Compare Steam Database 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

Steam Database logo Steam Database

This tool was made to give better insight into the applications that Steam has in its absolutely huge database.

Think Python logo Think Python

Learning Resources
  • Steam Database Landing page
    Landing page //
    2019-11-20
  • Think Python Landing page
    Landing page //
    2023-09-24

Steam Database features and specs

  • Comprehensive Data
    Steam Database offers detailed information about games, including price history, player counts, and update history, making it a valuable resource for gamers and developers.
  • User-Friendly Interface
    The website features a clean and intuitive layout, making it easy for users to find and understand the data they are looking for.
  • Free Access
    Users can access a wealth of information without any subscription fee, making it accessible to a wide audience.
  • Advanced Search and Filters
    The platform provides robust search and filtering options, allowing users to easily narrow down results based on various criteria such as genre, release date, and rating.
  • Sale Alerts and Notifications
    Users can set up notifications for price drops and sales, ensuring they never miss a deal on their favorite games.
  • API Access
    For developers, Steam Database offers an API that allows programmatic access to its rich dataset, enabling integration with other applications.
  • Community Tools
    The site includes additional tools and features like package comparisons and depots, which are useful for both casual users and industry professionals.

Possible disadvantages of Steam Database

  • Unofficial Source
    Since Steam Database is not officially affiliated with Valve Corporation, the data reliability and accuracy might occasionally be questioned.
  • Data Overload
    The sheer volume of data available can be overwhelming for casual users who may not be familiar with how to interpret it.
  • Limited Mobile Support
    While the desktop experience is robust, the mobile interface may not be as optimized, potentially leading to a less satisfactory user experience on smartphones and tablets.
  • Potential for Outdated Information
    Due to the nature of tracking a large volume of data, there may occasionally be delays in updating information, leading to temporary inaccuracies.
  • Complex Features
    Some advanced features and data points may be difficult to understand for users without a technical background or industry knowledge.

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.

Analysis of Steam Database

Overall verdict

  • Yes, Steam Database is a good tool for those interested in detailed metrics and statistics related to games on the Steam platform. Itโ€™s well-regarded for its accuracy and depth of information.

Why this product is good

  • Steam Database is considered a valuable resource for gamers and developers because it provides comprehensive information about games available on the Steam platform. This includes changes in game prices, player statistics, app and package details, and historical data. Itโ€™s particularly useful for tracking price history and sales information, which can help users make informed purchasing decisions. Moreover, developers use SteamDB to monitor user feedback and game performance statistics.

Recommended for

  • Gamers looking to track game sales and price history
  • Developers wanting insights into game performance and user engagement
  • Market analysts researching trends in the gaming industry
  • Enthusiasts interested in detailed Steam app and package data

Steam Database videos

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Think Python videos

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Thoughts on Think Python From a Beginner Programmer

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Category Popularity

0-100% (relative to Steam Database and Think Python)

Steam Database

Think Python

Games
100 100%
Games
0% 0
Online Learning
0 0%
Online Learning
100% 100
Comparison
100 100%
Comparison
0% 0
Development
0 0%
Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, Steam Database seems to be a lot more popular than Think Python. While we know about 682 links to Steam Database, 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.

Steam Database mentions (682)

  • Getting a Cease and Desist from Waffle House
    I believe scraping is generally ok - there's actual trademark law about trademarks, which is why you got a c+d about trademark usage, instead of a general 'stop what you're doing we don't like it' c+d. A good point of comparison is steam db (and other similar sites), which uses Steam public info to triangulate market info that isn't immediately apparent. https://steamdb.info/. - Source: Hacker News / about 1 year ago
  • Show HN: I scrape Steam data every month and it's yours to download for free
    Do you have data that https://steamdb.info/ doesnโ€™t have? - Source: Hacker News / over 1 year ago
  • What are the chance that baldur gates 3 become free in steam DB ?
    Asking if you should buy a game now or wait for a sale isn't allowed, asking when a game will go on sale is not allowed, asking how big of a discount a game might get is not allowed. Use SteamDB to look at sale histories on games. Source: over 2 years ago
  • A big chunk of my wishlist just went on sale
    Here's how to cure you from your buying habit, checkout https://steamdb.info/, check the price history of the game you're thinking of getting. Most likely it's on sale once every odd month, and discount percentages are only ever increasing over time. So really you can just buy it when you think you have time to play it soon. Source: over 2 years ago
  • The finals is trending on steam
    Correct, it's trending on https://steamdb.info/ if you look at the panel, some games will show zero players. But OP is wrong, other games are trending too. Source: over 2 years ago
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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 Steam Database and Think Python, you can also consider the following products

IsThereAnyDeal - "When the price is right, you will play all night."

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

GG.DEALS - Very good and clear site for best deals.

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.

Steam Charts - An ongoing analysis of Steam's concurrent players.

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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