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In this course, you will :
- introduced to the NumPy library for adding functions and methods to programmes without writing code
- In NumPy, talk about stack concepts. In the second part of this section, we will learn how to use vstack, hstack, and column stack.
- at the beginning of this section, understand what sect difference and intersection are. Then, using code snippets, we'll learn how to extract the exact elements by excluding other elements from the array.
- Explain and demonstrate how to use arrays to perform various mathematical operations such as sum, increment, mean, and median.
- In this section, you'll learn how to load and save a NumPy array.
- Learn how to work with arrays, from creating a NumPy array to storing and loading it with sample code.
- Understand Panel Data in Python for data manipulation and analysis.
- In this section, you will learn about one-dimensional labelled arrays. We will import the Pandas library, create a series object using the built-in data type, and work with it using code snippets.
- After learning the fundamentals of Pandas Dataframe, you will work with it through a sample demonstration in this section.
- In this section, we'll go over Pandas functions like mean, median, maximum, and minimum. We will also learn how to work with various methods for each of these functions.
Syllabus :
- Intro to Numpy
- Joining NumPy Arrays
- Numpy Intersection & Difference
- Numpy Array Mathematics
- Saving and Loading Numpy Array
- Intro to Pandas
- Pandas Series Object
- Intro to Pandas Dataframe
- Pandas Functions
