Fast Numerical Computing with Python [Video]

This is the code repository for Fast Numerical Computing with Python, published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

This course will get you ready to control access to your AWS resources granularly. You will develop the skills to pass the exam for the Security Solutions certification.

What You Will Learn

• Develop a strong foundation for numerical computational problems
• Competently program in Python and code in Jupyter Notebooks
• Use the most significant numerical computing library available for Python: NumPy
• Gain high-level access to extremely efficient computational routines with NumPy
• Use Python for data science: to work with high-level mathematical functions and simplify data
• Implement multi-dimensional arrays and matrices with NumPy's powerful data structures to enrich your programming experience
• Perform vector and matrix operations using NumPy and linear algebra
• Work on real-world datasets to develop a predictive model using simple and multiple linear regression techniques

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
You are expected to have some familiarity with mathematics to get the most out of this course. No previous knowledge of NumPy programming is expected!

Technical Requirements

This course has the following software requirements:

• Operating system: Any
• Browser: Chrome, Firefox or IE
• Jupyter Notebook
• Anaconda
• Python 3.7

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