This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.
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- 5 stars53.59%
- 4 stars18.48%
- 3 stars10.60%
- 2 stars7.24%
- 1 star10.08%
來自PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV的熱門評論
This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.
My first ever course in coursera , it give me a good impression i like it i was a little bit worry from the reviews but the course was actually great
Very reach and useful. The project is pretty hard and requires more knowing use python, that it outside the scope of this course
i would have rated it 5 star if not for very poor submission system. this course is very challenging and if you are not up for challenges think twice before enrolling.
關於 Python 3 Programming 專項課程
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.