Python beginning tutorials include:
Python data structures:
Working with Python lists.
Working with Python Dictionaries.
User input and while loop.
Functions.
Classes.
Files and Exceptions.
Functional programming.
The NumPy library.
The Pandas library.
The matplotlib library for visualization.
Dictionary is a data structure type in Python. One reason for why Python is so popular among programmers is that dictionary provides an useful and effective way to store key-value pairs information. When functions in Python carry out some tasks, it can return required information to a dictionary.
List is the simplest type of data structure in Python programming. A list is used to store a collection of elements of same type (numeric, string, etc.). In Python, a pair of brackets [] indicates the data object is a list type. For example, the following two statements create two lists, in which one is numeric and the other is of string type.
Python is among the most popular programming language for data science nowadays, and getting started with Python is quite easy. You can just install e.g. a free platform like Anaconda, then you can get direct access to Python as well as most of its preinstalled modules (Numpy, pandas, matplotlib, etc.), its IDE (Spyder, etc) and its easygoing package management tools.
When we perform data analysis using Python, it is often useful to pass a list in calling the function as we want each element of the list to be accessed by the function.
A function in Python is a group of code statements wrapped together to perform specific tasks. After a function is defined, then it can be called by passing real values to its arguments and get the returning results. A while loop in Python is a group of conditional statements bundled in a statement beginning with keyword ‘while’, and the codes will run forever until the condition returns false. By including a user-defined function inside a while loop in Python, many iterative tasks can be fulfilled.