Kodeco – Python for AI: A Crash Course 2024-10
Kodeco – Python for AI: A Crash Course 2024-10 Downloadly IRSpace
Python for AI: A Crash Course. This course covers the basics of Python programming with a focus on AI applications. Students will learn Python syntax, environment management, working with external libraries, handling data formats, and basic file operations. The course emphasizes hands-on practice using Jupyter notebooks. By Joey deVilla. This course is a great introduction for those who want to work in the field of artificial intelligence and machine learning. By learning the basics of Python, you will have a strong foundation for learning more advanced concepts in these fields. Concepts covered: Python language, Jupyter notebooks, package management, file operations, libraries, data manipulation. Course content: 1-Introduction to Python and Jupyter notebooks. 2-Python syntax and best practices. 3-Working with Python libraries and package management. 4-Working with local data (file operations and data management). 5-Working with online data and APIs.
What you will learn in this course:
- Understand and apply Python syntax: Understand and apply Python syntax through practical examples such as making network requests, manipulating JSON data, and processing files.
- Setting up and using Jupyter Notebooks: Set up and use the Jupyter Notebook Python development environment.
- Effectively manage Python environments and integrate third-party libraries: Effectively manage Python environments and integrate third-party libraries.
This course is suitable for people who:
- Interested in learning the basics of Python programming with a focus on artificial intelligence applications.
- Want to learn the basic concepts of Python, including syntax, package management, and working with data.
- They plan to use Python to develop artificial intelligence projects.
Details of the Python for AI: A Crash Course course
- Publisher: Kodeco
- Instructor: Joey deVilla
- Training level: Beginner
- Training duration: 1 hour and 9 minutes
Course syllabus on 2024/11

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File(s) password: www.downloadly.ir
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