No email required. 100% free. Done in 30 seconds.
Transform your code from Kotlin to Python with our free AI-based code convertion tool. If you like what you see, we also create documentation for your code! We don't ever store your code or any representation of it in our databases, but it will be shared with the LLM of our choice for processing.
Kotlin and Python are two distinct programming languages with different syntax and conventions. Understanding their differences is critical for an efficient conversion.
Kotlin is a statically-typed language, meaning you need to declare the data type of a variable. Python is dynamically-typed, inferring data types automatically. Here is how you handle variable declarations:
Kotlin:
val name: String = "John"
var age: Int = 25
Python:
name = "John"
age = 25
Notice that Python does not require explicit type declarations.
Kotlin and Python handle functions differently. In Kotlin, you use fun
to define a function:
Kotlin:
fun greet(name: String): String {
return "Hello, $name"
}
In Python, functions are defined using the def
keyword:
Python:
def greet(name):
return f"Hello, {name}"
Python's formatted strings (f"{name}"
) are similar to Kotlin's string templates ("$name"
).
Both Kotlin and Python support object-oriented programming, but their syntax and some features can vary.
Kotlin:
class Person(val name: String, var age: Int) {
fun introduce() {
println("Hello, my name is $name and I am $age years old")
}
}
val person = Person("Alice", 30)
person.introduce()
Python:
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def introduce(self):
print(f"Hello, my name is {self.name} and I am {self.age} years old")
person = Person("Alice", 30)
person.introduce()
Control flow structures in Kotlin and Python are similar but differ in syntax.
Kotlin:
val number = 10
if (number < 20) {
println("Less than 20")
} else {
println("20 or more")
}
Python:
number = 10
if number < 20:
print("Less than 20")
else:
print("20 or more")
Kotlin:
for (i in 1..5) {
println(i)
}
Python:
for i in range(1, 6):
print(i)
Notice how Python uses range()
for loop expressions.
When dealing with lists, maps, and sets, the approach can differ between Kotlin and Python.
Kotlin:
val list = listOf(1, 2, 3, 4, 5)
for (item in list) {
println(item)
}
Python:
list = [1, 2, 3, 4, 5]
for item in list:
print(item)
Kotlin:
val map = mapOf("one" to 1, "two" to 2)
for ((key, value) in map) {
println("$key = $value")
}
Python:
map = {"one": 1, "two": 2}
for key, value in map.items():
print(f"{key} = {value}")
Both languages support exception handling, but the syntax differs.
Kotlin:
try {
val result = 10 / 0
} catch (e: ArithmeticException) {
println("Cannot divide by zero")
}
Python:
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero")
Kotlin uses coroutines for concurrency, while Python uses asyncio
.
Kotlin:
import kotlinx.coroutines.*
fun main() = runBlocking {
launch {
delay(1000L)
println("World!")
}
println("Hello,")
}
Python:
import asyncio
async def main():
await asyncio.sleep(1)
print("World!")
print("Hello,")
asyncio.run(main())
Converting from Kotlin to Python requires an understanding of both languages' syntax and idioms. By focusing on key differences such as variable declarations, functions, classes, control flow statements, collections, and error handling, you can efficiently translate code from Kotlin to Python.
By paying close attention to these details and practicing with small code snippets, you can gradually build proficiency in translating Kotlin code to Python, ultimately making the transition between these two languages smoother and more efficient.
Understanding these fundamental differences is the cornerstone of mastering the conversion from Kotlin to Python. Happy coding!
Document your code using AI
Join thousands of companies documenting their code using AI.
This free AI tool does its best to generate professional documentation. However, it's missing some context from other related files. The paid version takes into account different files to generate documentation for each use case, apart from the documentation of every file. You have also the possibility of add custom concepts to improve the knowledge of your codebase.
No. You don't have to enter any personal information to use Codex's free code documentation tool — it's 100% free.
No. An encrypted version of your code is stored only while its being processed and it's deleted immediately.
If you can work with a custom Azure model in your own account, let us know. If not, Codex also works with open source models that can run on-premises, on your own servers, so your data is always yours. Feel free to get in touch with us!