Data Science and Analysis with Python and R Programming

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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

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Numerical Analysis is a powerful mathematical tool to solve many problems that cannot be solved by algebra methods. For example, it can solve unsolved algebra problems for non-linear equations. It can also solve system of linear equations. We can use it also to do differentiation and integration complex problems. We can do also Matlab codes to implements those numerical analysis algorithms.

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