Master Python List Comprehension & code like a pro!
Today, I will clearly explain every detail with code examples! 🚀
Here's an illustrated guide...👇
Today, I will clearly explain every detail with code examples! 🚀
Here's an illustrated guide...👇
Simply put, list comprehension are a concise way to replace multi-line for loops with a single line of code!
And, they are reasonably faster 🔥
A quick look at the Syntax before we break it down with examples!👇
And, they are reasonably faster 🔥
A quick look at the Syntax before we break it down with examples!👇
We start with a simple example!
Here we want to create a list of the squares of numbers from 0 to 4.
Check this out 👇
Here we want to create a list of the squares of numbers from 0 to 4.
Check this out 👇
Let's take up out next example and understand usage of predicate! ✅
Now, we want to create a list of the squares of "even numbers" from 0 to 4.
Check this out 👇
Now, we want to create a list of the squares of "even numbers" from 0 to 4.
Check this out 👇
Now that we understand the basics, let's take a comprehensive example!
What we will do:
- Describe a scenario
- First code it using 2 for loops (nested)
- Then using list comp. in a 1 line of code 🪄
Check this out 👇
What we will do:
- Describe a scenario
- First code it using 2 for loops (nested)
- Then using list comp. in a 1 line of code 🪄
Check this out 👇
Now we will see the magic of list comprehension! 🔥
Check this out 👇
Check this out 👇
Before we wrap, let's talk about speed gains & optimizations:
List comprehensions are faster than for loops as they are optimized in C & don't require the overhead of function calls.
Here's an example 👇
List comprehensions are faster than for loops as they are optimized in C & don't require the overhead of function calls.
Here's an example 👇
That's a wrap!
If you interested in:
- Python 🐍
- Machine Learning 🤖
- MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠
Find me → @akshay_pachaar ✔️
I also share a of knowledge around Python, ML, MLOps & LLMs via my Newsletter! (It's FREE)
Check this out👇
mlspring.beehiiv.com
If you interested in:
- Python 🐍
- Machine Learning 🤖
- MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠
Find me → @akshay_pachaar ✔️
I also share a of knowledge around Python, ML, MLOps & LLMs via my Newsletter! (It's FREE)
Check this out👇
mlspring.beehiiv.com
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