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You're reading from  Building AI Applications with ChatGPT APIs

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
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Author (1)
Martin Yanev
Martin Yanev
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Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev

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Setting Up the Code Bug Fixer Project

Creating a PyCharm project is an essential first step in any Python development process. By following a few simple steps, you can create a new PyCharm project in just a few minutes. Once you’ve set up your project, you’ll be ready to start building and testing your code:

  1. Open PyCharm: Double-click on the PyCharm icon on your desktop or search for it in your applications folder to open it.
  2. On the PyCharm welcome screen, click on Create New Project or go to File | New Project.
  3. Choose the directory where you want to save your project. You can either create a new directory or select an existing one.
  4. Select the Python interpreter: Choose the version of Python you want to use for your project.
  5. Configure project settings: Give your project the name CodeBugFixer, and choose a project location.
  6. Once you’ve configured all the settings, click Create to create your new PyCharm project.

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Building AI Applications with ChatGPT APIs
Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567

Author (1)

author image
Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev