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Integrate a Python Compiler Online to test the code directly.
Below you will find the basic version, scrolling the page you will find the compiler with the integration of some fundamental libraries for automatic calculation.
Basic version of the Python Compiler Online:
Write Python code using one of the most popular built-in compilers.
Python Compiler Online with Libreries
We can also use libraries like NumPy, Pandas, Matplotlib, Seaborn. Here is an advanced version of the Python Compiler with an example on the logarithmic scale:
Python is a very popular programming language created by Guido van Rossum. It was released in 1991 and has been increasingly adopted in a variety of fields since then.
Python, in fact, is a generic and high-level programming language widely used both for Web development and for the field of data science and machine learning. So it allows you to create mobile apps using cutting-edge frameworks such as Flask and Diango, and on the other hand it allows you to use libraries such as NumPy, Pandas, Matplot, Seaborn, etc …So we can say that sit is suitable both in the field of web development and in the analysis of data and automatic access.
Simple examples – Python Compiler Online:
Try some simple examples in the Python Compiler to test the programs.
Write a Python program using Pandas to create and display a one-dimensional array-like object containing an array of data.
import pandas as pd ds = pd.Series([1, 3, 5, 7, 9]) print(ds)
Generate a sequence of numbers from x to y excluding y, in increments of 1.
x = 1 y = 15 for a in range(x,y): print(a)
Third example to try in the Python online compiler:
Make a Python program that returns the total of odd and even numbers of series of numbers.
numbers = [11, 6, 9, 40, 5, 14] count_odd = 0 count_even = 0 for x in numbers: if x % 2: count_odd += 1 else: count_even += 1 print("Count even numbers :", count_even) print("Count odd numbers :", count_odd)
1 – Introduzione al linguaggio Python
2 – Le variabili
3 – Operatori aritmetici e di assegnazione
4 – Stringhe
5 – Casting
6 – Input e print
8 – Errori in Python
9 – Script Python
10 – Scambio di variabili
11 – Modulo math