- Live notes about this tutorial are available at this link
Pandas
A smarter and more abstract tool to handle .csv files is another Python tool named Pandas
We use Pandas to:
- Manipulate data.
- Visualize and plot data combined with matplotlib library
Install Pandas and Matplotlib
Install pandas following the instruction available at this web page.
Install matplotlib following the instruction available at this web page.
Manipulate and Visualize data
Let us take a look at this presentation.
Keeping Pandas API Documentation at hand with this link, let us see Pandas in action now:
- Create a file named
ManipulateVisualize.ipynb - Run the Jupiter Notebook in Visual Studio Code (more details here) on the
.csvdataset Salary Data.csv - Follow and repeat my instructions on your Jupiter!
Exercises
Complete this exercise on Jupiter Notebook on the same dataset.
Recursion
Recursion is a way of programming or coding a problem, in which a function calls itself one or more times in its body. Usually, it is returning the return value of this function call. If a function definition fulfils the condition of recursion, we call this function a recursive function.
Remember, the termination condition:
- A recursive function has to terminate to be used in a program.
- A base case is a case, where the problem can be solved without further recursion. Tips: start by identifying the base case.
- A recursive function terminates, if with every recursive call the solution of the problem is downsized and moves towards a base case.
Solve this exercise on Rosalind with a recursive approach.