Lambda Functions in Python #
- Lambda functions are anonymous functions that can be defined and used in a single line of code.
- They are concise and efficient, particularly for simple operations.
- They are faster to create and call than regular functions.
- Use lambda functions when performance is critical and the function only has a return statement.
Another thing is that lambda functions are faster to create and call compared to regular functions, so if you're obsessed with performance and your function only has a return statement you might as well make it a lambda function.
Python: Map, Filter, Reduce Functions #
- Map applies a function to every element in an iterable, returning a new iterable containing the results.
- Filter creates a new iterable containing only elements from the original iterable that meet a specific condition defined by a function.
- Reduce applies a function cumulatively to the elements of an iterable, returning a single value.
Good Python Habits #
- Use descriptive variable names to improve code readability.
- Employ docstrings to clearly document functions and classes.
- Leverage type hints for enhanced code clarity and error detection.
- Follow the PEP 8 style guide for consistent formatting.
- Practice modular coding by breaking down complex problems into smaller, reusable functions or classes.
*Args and **Kwargs in Python #
- allows functions to accept any number of positional arguments.
- allows functions to accept any number of keyword arguments.
- These help create flexible functions that can handle different input configurations.
Understanding Map(), Filter(), and Reduce() in Python #
- Map iterates through a sequence, applying a function to each element. It returns a new sequence containing the transformed elements.
- Filter iterates through a sequence, testing each element against a condition. It returns a new sequence containing only the elements that meet the condition.
- Reduce folds a sequence into a single value by applying a function cumulatively to its elements.
Python Generators #
- Generators are functions that create iterators without storing the entire sequence in memory.
- They use the keyword to produce a sequence of values on demand.
- Generators are efficient for handling large data sets, as they generate data only when needed.
Python Lambda Functions Explained #
- A lambda function is a concise, anonymous function defined on a single line using the keyword.
- It takes arguments and returns a value.
- Lambda functions are useful for short, specific operations.
What is Scope in Python? #
- Scope defines the visibility of variables within a program.
- Variables declared inside a function have local scope, accessible only within that function.
- Variables declared outside functions have global scope, accessible from anywhere in the program.
Python Decorators #
- Decorators are functions that modify the behavior of other functions without directly changing their code.
- They use the symbol followed by the decorator function name before the function to be decorated.
- Common use cases include adding logging, timing, or security measures to functions.
Must-Know Concepts in Python #
- Variables and data types: Understanding the different types of data used in Python (e.g., integers, strings, lists).
- Operators: Learning about arithmetic, comparison, logical, and assignment operators.
- Control flow: Implementing conditional statements (if-else) and loops (for, while).
- Functions: Defining reusable blocks of code to perform specific tasks.
- Data structures: Working with lists, tuples, dictionaries, and sets.