npressfetimg-231.png

Top Advanced Usage of Python Programming that You Must Know – Analytics Insight

Python



by Shivani Muthyala

October 29, 2021

Python programming language has gained a lot of momentum among the students due to its dynamic nature, versatility, and robustness. The interesting part is that python concepts can be easy to learn when compared to other programming languages such as Java or C++. So usage of python in your code will help reduce the bugs in your code by boosting efficiency thereby making you a professional programmer. So let’s now take a look at python advanced concepts that you must know in this article.

 

Map Function

As you all know, the Python programming language has an inbuilt function called map that allows you to process all the elements that are available in an iterable without explicitly utilizing a looping construct. With this, it returns a map object that in turn is an iterator. The map object that is obtained is an end product by applying the specific function to every item present in the iterable. This is one of the must learn advanced python concepts that can be used by programming experts.

 

Itertools

Python has a great standard library which is called itertools that has several functions to help in writing fast, clean and memory-efficient code. The functions in itertools work on iterators that again return more complex iterators such as repeat, count, cycle, accumulate, permutations, product, and combinations. This is one of the advanced Python concepts that can be used by programming experts. Using this Python programming language you will be able to generate results faster than the conventional method.

 

Lambda Function

Python’s lambda functions are small and anonymous functions that do not have a name and are maintained in a single line of code. Such as the keyword ‘def’ is used to define functions but here it is defined as keyword ‘lambda’. This technique can make code easy to read and use when you need to use the function only once. The usage of python concepts will benefit programming experts.

 

Exception Handling

Exceptions are types of errors that can occur when the program is being executed and that can change the normal flow of the program. For instance, dividing a number with zero. So we use except, try, and finally handle exceptions in Python. This is one of the advanced python concepts that can be used by programming experts. Where try is used to wrap a block of code that can set aside errors, except is used to wrap a block of code to be executed when there is an exception and finally allows you to execute the code no matter what.

 

Decorators

These are part of Python’s metaprogramming that is used to add additional functionality to the already existing code without altering the original structure at compile time. This is more like a regular function in Python that is known as returns. What it does is, it can function, modify and add functionality and then return it. The usage of python concepts will benefit programming experts.

 

Collections

Collections in Python are inbuilt general-purpose containers like tuple, set, dictionary, and lists. These collections are a module that implements specific container data types. That includes named tuple which is a function for creating tuple subclasses with named fields, while on the other side OrderedDict is a dict subclass that memorizes the order entries that were added since programming dict are not ordered.

 

Generators

Generators in Python are a special type of function that, other than returning a single value, returns an iterator object that is a sequence of values. Generators are the utility to create your own iterator function. There is a difference between yield and return in that it eliminates the function but the yield on the other side only pauses the execution of the function and returns the value against it each time.

Share This Article

Do the sharing thingy

Source: https://www.analyticsinsight.net/top-advanced-usage-of-python-programming-that-you-must-know/

RSS Feeds

Leave a Reply

Your email address will not be published.

Related Posts