Discover the perfect tool for efficient numerical data processing. With this course, you will quickly master the basics of the highly popular NumPy library, which is the industry standard in fields like Data Science. Upon completing the course, you will have a solid understanding of the theoretical foundations and practical skills for using the NumPy library.
With this course, you will learn the most important techniques for working with NumPy. Each stage of the course begins with concise and accessible theory. Then, you will complete a set of practical tasks to practice your newly acquired skills. Topics you will master with this course include:
Creating arrays and the most important operations on arrays
Indexing and slicing
Combining, splitting arrays, and iterating over arrays
Mathematical functions and matrix operations
Sorting arrays
And much, much more
The course is full of practical examples. It includes dozens of tasks and exercises. This is the best way to acquire practical skills that you can later use in your daily work. After completing the course, you will receive a Certificate confirming your new qualifications.
NumPy is a popular library in the Python language that provides support for efficient numerical data processing. It is one of the foundations of the scientific Python ecosystem and is a key tool for data scientists, engineers, mathematicians, and programmers working with numerical data.
To work with the course, you will need a basic knowledge of the Python language. If you can perform basic arithmetic operations in Python, you will be able to handle the course without any problems.