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    Disclaimer

    Last Updated: April 2026

    1. General Information

    The information provided by PyCircle ("we," "us," or "our") on https://www.pycircle.com (the "Site") is for general informational and educational purposes only. All information on the Site is provided in good faith, however, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information on the Site.

    2. Educational Purposes Only

    PyCircle is a platform designed to teach Python, Data Structures and Algorithms (DSA), and Machine Learning. The code snippets, projects, and examples provided on this website are strictly for educational and learning purposes. They are not intended to be used directly in production environments without proper testing and security checks.

    3. "Use at Your Own Risk"

    Under no circumstance shall we have any liability to you for any loss or damage of any kind incurred as a result of the use of the site or reliance on any information provided on the site. Your use of the site and your reliance on any code, algorithm, or tutorial on the site is solely at your own risk. If any code execution causes data loss, system failure, or any other issues on your personal or professional hardware/servers, PyCircle is not responsible.

    4. External Links Disclaimer

    The Site may contain (or you may be sent through the Site) links to other websites or content belonging to or originating from third parties (such as official Python documentation, GitHub repositories, or tools). Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability or completeness by us.

    We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site.

    5. Errors and Omissions

    While we strive to keep the tutorials updated and error-free, programming languages and libraries (like Pandas, NumPy, etc.) update frequently. Therefore, some information, syntax, or library functions might become deprecated or outdated. We do not guarantee that the content will always reflect the most current software versions.

    Contact Us

    If you require any more information or have any questions about our site's disclaimer, please feel free to contact us by email at pycircles@gmail.com.

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