Page 203 - Ai_V3.0_c11_flipbook
P. 203
with open('Customer.csv', 'r') as file:
reader = csv.reader(file)
for row in reader:
print(row)
Output:
['Customer_ID', 'First_Name', 'Last_Name', 'City']
['1', 'Aishwarya', 'Iyer', 'Chennai']
['2', 'Rajesh', 'Reddy', 'Hyderabad']
['3', 'Sneha', 'Gupta', 'Kolkata']
['4', 'Neha', 'Trivedi', 'Ahmedabad']
['5', 'Rahul', 'Mehta', 'Bangalore']
Brainy Fact
In artificial intelligence and machine learning, CSV files are frequently used to store datasets for training
models. The data is typically arranged in rows and columns, with each column representing a variable or
feature and each row representing an instance or example.
Understanding Libraries
In Python, libraries refer to collections of pre-written code modules or functions that you can use to perform specific
tasks without having to write the code from scratch. These libraries are designed to be reused in different projects that
makes the development easier by providing various ready-to-use solutions for particular tasks.
NumPy Scikit-learn Pandas
In Python, functions are organised within libraries similar to how the library stores books on different subjects. Python
libraries organise functions into different categories, such as math, web development, data analysis, machine learning,
etc. These libraries can be imported into Python programs to access their functionalities and tools.
Python Programming 201

