How to Use the Python Compiler
To use the Python Compiler, follow these steps:
- In the code editor, write your Python code.
- Click the "RUN" button to compile and run your code.
- The output will be displayed in the console below the code editor.
Taking Inputs
In Python, you can take inputs from the user in various ways. Here are some examples:
String Input
input_str = input("Enter a string: ")
print("You entered: ", input_str)
Number Input
num = int(input("Enter a number: "))
print("You entered: ", num)
Importing Libraries
Python has a rich set of built-in libraries that can be used in your programs. Here are some examples:
Using the Math Library
import math
result = math.sqrt(25)
print("Square root of 25 is ", result)
Using the List Class
arr = [1, 2, 3, 4, 5]
print("Array: ", arr)
Syntax 101
Python is a high-level, interpreted, interactive and object-oriented scripting language. Here's a primer on the major syntax basics of Python:
Variables
Variables in Python can be declared and values can be assigned to it as follows:
name = "John Doe" # Variable assignment
age = 25 # Variable assignment
Control Structures
Python includes control structures such as if
, else
, for
, while
.
# If-Else
if age > 18:
print("Adult")
else:
print("Minor")
# For loop
for i in range(5):
print(i)
Functions
Functions in Python are defined with the def
keyword.
def greet(name):
print("Hello, ", name)
greet("John Doe") # Calls the function with "John Doe" as the argument
Python Online Test
A Python online test is an effective way to assess an individual's Python programming skills, especially in the context of data analysis, machine learning, and web development. These tests typically include a mix of theoretical questions and practical coding challenges. By attempting these tests, candidates can demonstrate their understanding of Python concepts, their problem-solving abilities, and their proficiency in writing efficient code. Python online tests are commonly used in technical interviews, coding bootcamps, and online learning platforms to gauge a learner's understanding and proficiency in Python.