I would advise you to start with the following ressource: Python Programming Tutorials
I really like the website Pythonprogramming, because it also gives insights to machine learning, the basics etc.
Next I would advise you to visit this website and read the amazingly written blog posts: PyImageSearch - Be awesome at learning OpenCV, Python, and computer vision
The author also offers a ebook for sale, I only heard good things about it, dont have it myself though.
Then you should have enough background for the fun stuff.
If you dont want to work with opencv, you can use scikit-image (skimage short), where you can best learn about in the official example section: General examples
There are a lot of tutorials available for learning to use python for Image Processing.
To learn the basics of Image Processing refer -> Digital Image Processing (3rd Edition): Rafael C. Gonzalez, Richard E. Woods: 9780131687288: Amazon.com: Books
Below are the resources for Image Processing using Python:
- Image Processing in OpenCV : OpenCV is a library mainly focused on real-time computer vision. You can learn to use it with python.
OpenCV's application areas include:
- 2D and 3D feature toolkits
- Egomotion estimation
- Facial recognition system
- Gesture recognition
- Human–computer interaction (HCI)
- Mobile robotics
- Motion understanding
- Object identification
- Segmentation and recognition
- Stereopsis stereo vision: depth perception from 2 cameras
- Structure from motion (SFM)
- Motion tracking
- Augmented reality
2. Image manipulation and processing using Numpy and Scipy : This tutorial covers basic image manipulation and processing using Numpy and Scipy.
3. Image Processing Using Python: A short tutorial on using sckikit for image processing with python.
4. http://www.python-course.eu/python_image_processing.php : A tutorial on basic image manipulation.
You can also go for the following books if you want to learn more about image processing using python.

Link -> Ravishankar Chityala, Sridevi Pudipeddi: Amazon.in: Kindle Store


Books
Extremely useful, filled with practical information:
1. Burge and Burger, Principles of digital image processing
2. Sonka ,et al. Image processing, analysis and machine vision
3. Soille, Morphological image analysis
4. Nixon, Feature extraction & image processing for computer vision
5. Parker, Algorithms f or image processing and computer graphics
…then verging off into computer vision, but still very practical:
6. Prince, Computer Vision Models
7. Radke, Computer vision for visual effects
8. Digital Image Processing, Sridhar S, Oxford University Press - Edition 1 and 2
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