Unlock the Power of Data Analysis with Python Pandas for Data Science, AI, Machine Learning, and Deep Learning
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- Programming Languages
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Objectives
- Understand the basics of Numpy and how to set up the Numpy environment.
- Create and access arrays, use indexing and slicing, and work with arrays of different dimensions.
- Understand the ndarray object, data types, and conversion between data types.
- Work with array attributes and different ways of creating arrays from existing data or ranges functions.
- Apply broadcasting, iteration, and updating array values.
- Perform array manipulation, joining, transposing, and splitting operations.
- Apply string, mathematical, and trigonometric functions.
- Perform arithmetic operations, including add, subtract, multiply, divide, floor_divide, power, mod, remainder, reciprocal, negative, and abs.
- Apply statistical functions and counting functions.
- Sort arrays using different methods, including sort(), argsort(), lexsort(), searchsorted(), partition(), and argpartition().
- Understand the different types of array copies, including view, copy, "no copy", shallow copy, and deep copy.
Pre Requisites
- You should have beginner level experince with Python programming for Numpy
- You did not need to buy extra software or course for this Numpy course
- If you have basic knowledge of Matrix, it is good for you
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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