Conclusion
Discover how to apply your Python basics by exploring essential libraries for data science, machine learning, deep learning, and computer vision. Learn about tools like Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and OpenCV to boost your programming projects. Understand project ideas to practice and enhance your skills using these popular Python libraries.
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Here we are, at the end of our long journey. Hopefully, you now have a good understanding of how all the basic mechanics of Python work.
What lies ahead
These libraries are just the tip of the iceberg regarding Python programming. You are now equipped with all the building blocks of complex programs. Now that you have a solid understanding of Python, you can explore various libraries and frameworks to expand your skills and apply them to real-world projects. Here are some suggestions: ...