It’s been interesting switching jobs with respect to programming languages. I used to write 95% R - now I write 95% Python.
I have been using Python for many years, but not seriously or getting paid either. I’ve learned alot in the first 6 months.
Some Python things learned:
Functions and methods
I used to think functions and methods were the same thing. But during the last 6 months I learned that functions and methods are not the same. Well, they’re not that different. A function outside a class is just called a function while a function inside a class is called a method. They could be exactly the same and do the same thing, but one is outside a class and the other inside a class.
class Stuff(object): def things(): return 5 def things(): return 5 Stuff.things() # 5 things() # 5
.sort and sorted
.sort called on an object changes the object in place and
sorted() creates a new object.
x = [4,1,7,2,6,5,3] z = x.sort() # nothing returned, z = None sorted(x) # [1, 2, 3, 4, 5, 6, 7]
I’d surely used a context manager in Python before but didn’t realize what was happening. The code base I work in uses many with statements and these are used with context managers like:
with EXPRESSION as TARGET: SUITE
In the above case I often create a connection to a database using the
with statement, then once the block is exited, the connection is cleaned up.
Coming from R, it’s so nice in Python to be able to import specific functions, classes, etc. rather than having to load an entire file or package in R. In addition,
as in Python imports is really nice to have.
from x import y import pandas as pd
Sometimes I run into circular import issues in Python (as I did in R), which I’ve yet to find a neat solution to sorting out.
Top comments (4)
I also found numpy notation similar to base R.
haven't played with numpy much yet, but surely will as i run into performance issues
I had almost exactly the same things coming from R to Python!