5 Important Python Concepts Every Developer Should Know
If you’re interested in becoming a developer who writes any type of
code in Python, then you need to understand these five important
Python concepts. These are what I see most beginner and intermediate
Python programmers making a ton of mistakes with and
misunderstanding when they’re reading through production code. The
goal of this blog is to make sure that when you’re reading through
production Python code, you understand what’s happening. You know
the concept, and then you can reproduce that code and write your own
pull requests and own features using Python code that other developers
will understand and expect. So with that said, let’s get into the
concepts.
Mutable vs Immutable Types
An immutable type is something that cannot change, while a mutable
type is something that can change. Examples of immutable types in
Python include strings, integers, floats, booleans, bytes, and tuples.
Examples of mutable types include lists, sets, and dictionaries. It’s
important to understand the difference between these types because it
can affect how your code behaves. For example, when you make
changes to a mutable object, those changes will be reflected in all
variables that reference that object.
Positional Parameters
You can use a try/except block to catch and handle exceptions. For example, you can use error handling
to handle the case where a file you’re trying to open doesn’t exist:
Try: with open(“file.txt”, “r”) as f: print(f.read())except FileNotFoundError: print(“File not found”)
This will print out “File not found” if the file doesn’t exist.
List Comprehension in Python
If you’re interested in becoming a developer who writes any type of
code in Python, then you need to understand these five important
Python concepts. These are what I see most beginner and intermediate
Python programmers making a ton of mistakes with and
misunderstanding when they’re reading through production code. The
goal of this blog is to make sure that when you’re reading through
production Python code, you understand what’s happening. You know
the concept, and then you can reproduce that code and write your own
pull requests and own features using Python code that other developers
will understand and expect. So with that said, let’s get into the
concepts.
Mutable vs Immutable Types
An immutable type is something that cannot change, while a mutable
type is something that can change. Examples of immutable types in
Python include strings, integers, floats, booleans, bytes, and tuples.
Examples of mutable types include lists, sets, and dictionaries. It’s
important to understand the difference between these types because it
can affect how your code behaves. For example, when you make
changes to a mutable object, those changes will be reflected in all
variables that reference that object.
Positional Parameters
You can use a try/except block to catch and handle exceptions. For example, you can use error handling
to handle the case where a file you’re trying to open doesn’t exist:
Try: with open(“file.txt”, “r”) as f: print(f.read())except FileNotFoundError: print(“File not found”)
This will print out “File not found” if the file doesn’t exist.
List Comprehension in Python
