Python is simple to learn compared to other high-level, object-oriented programming languages like Java or C++, but it does have a few complex principles that are useful for writing code that is resilient.
Python is a high-level, object-oriented programming language that has lately gained popularity among students and professionals because of its adaptability, dynamic nature, resilience, and ease of learning.
Python is simple to learn compared to other high-level, object-oriented programming languages like Java or C++, but it does have a few complex principles that are useful for writing code that is resilient, crisp, highly optimised, efficient, and normalised. You will be able to eliminate defects in your code as well as boost its efficiency if you use these techniques in your code, making you a seasoned Python programmer.
1. Lambda function
Lambda functions in Python are short anonymous functions that don’t have a name and are only one line of code long. In Python, the term ‘def’ is used to define functions, whereas the keyword ‘lambda’ is used to define lambda functions. They can take any number of arguments, but there can only be one expression. It makes code for simple logical processes brief and easy to read, and it’s perfect for when you only need to use the function once.
2. Map function
The map() function in Python allows us to handle all of the components in an iterable without having to use a looping construct directly. It returns a map object, which is an iterator when utilised. The outcome of executing the supplied function to each item in the iterable yields this map object.
Set, tuple, dictionary, and lists are examples of general-purpose inherent containers in Python. Python collections is a module that implements data types for specialised containers. Namedtuple() is a function for creating tuple subclasses with named fields; OrderedDict is a dict subclass that remembers the order entries that were added because Python dicts aren’t ordered; Counter is a function for counting hashable objects; ChainMap is a function for creating a single view of multiple mappings; and so on.
Due to lazy evaluation, Python has an awesome standard library called itertools that includes many methods that assist in developing clean, quick, and memory-efficient code. It is a Python module that implements numerous iterator building blocks, which when combined constitute ‘iterator algebra,’ allowing for the efficient development of Python tools. Itertools methods act on iterators themselves, returning more complicated iterators.
Source : Techgig.com