Python provides a lot of great libraries, tools and features for programmers to work with. It is one of the most used languages for data science, machine learning and deep learning applications. Python also has a vibrant community of users which have been contributing to its ecosytem through various tools and libraries.
In this blog, I will talk about some of the best Python features that are not very well known but can be extremely helpful in increasing your code efficiency and productivity. Here is a list of top 10 amazing python features you should know:
Python is considered to be one of the most versatile programming languages today. The increasing popularity of Python as a programming language in recent years can be attributed to its user-friendly features, high-level programming, and an array of open source libraries.
Here are 10 Python features that you should be using in your code:
1. List Comprehension
2. Lambda Function
3. Map Function
4. Filter Function
5. Zip Function
6. Enumerate Function
7. Any and All Functions
8. Setdefault Method in Dictionary
9. Default Argument Values
10. Global Keyword
Some time ago I was asked to write a blog post about my favorite python features. The post was published on a local dev blog, but I wanted to share it on my personal blog, since it might be useful for some readers.
In this post, I’ll describe 10 python features which I use on a daily basis and which make me more productive when writing code. Many of these features are also used in popular Python libraries and frameworks, such as Django or Flask, so if you’re interested in web development, they will definitely come in handy.
1. Argument unpacking
2. List/dict comprehensions
3. Generator expressions
4. Generator functions
5. First-class functions
9. Generators as iterables
10. With statement
I am a huge fan of Python. I think the language is pretty, the syntax makes sense, and it’s very easy to learn. I also like that you don’t have to write as much code as some other languages (I’m looking at you Java).
However, there are some features that I feel are lacking in Python. For example, the lack of static typing forces programmers to do more testing. And if you want your code to be the same across multiple environments, such as Windows and Linux, then you need to jump through some hoops.
But on the other hand, Python is powerful and has many unique features: list comprehensions, generators and decorators are just a few examples. In this article I will discuss 10 Python features that every programmer should know (and use!). Lets dive into it!
Python is a versatile language that can be used for many different projects. It’s general purpose, high level, and object oriented. Python code is often said to be almost like pseudocode, since it allows you to express very powerful ideas in very few lines of code while being very readable.
Python is also great for validating ideas or products for established companies and start-ups alike. Without the overhead of compiling and building out a working application, Python lets you focus on exploring and prototyping your ideas.
What makes Python such a great tool? Well, the developers are always refining it with new features and optimizations to keep up with modern programming trends. These improvements (and some older features) can make your life much easier as a python programmer. Here are ten features that will help you write better python code:
1) List Comprehensions
List comprehensions provide a concise way to create lists from other lists. They are often used to iterate over an entire list, extract certain elements from a list based on some criteria, or create new lists by applying some transformation to each element in the original list.
Instead of the following:
If you’re using Python for Data Science or Machine Learning, you probably don’t need to dig into the internals of the language. But if you plan on working in the back end, or as a full-stack developer, you need to know what makes Python so great.
The following list will teach you how to use Python more efficiently. So whether you’re a beginner or advanced programmer, get ready to learn some of the best features of this beautiful language.
Generators are used to create iterators, but with a different approach. Generators are simple functions which return an iterable set of items, one at a time, in a special way.
When an iteration over a set of item starts using the for statement, the generator is run. Once the generator’s function code reaches a “yield” statement, the generator yields its execution back to the for loop, returning a new value from the set. The generator function can generate as many values (possibly infinite) as it wants, yielding each one in its turn.
2)Lambda Function Syntax
If you want to write small anonymous functions, then lambda is your tool. Lambda functions are single-expression functions that are
Regardless of whether you use Python as your main language, Python has a number of advantages that may make it worth considering for side projects. In this article, I will discuss the top 10 features of Python that all programmers should know and take advantage of.
1. The Exit Function
The exit function is an incredibly useful function available in the sys module. It is often used to terminate a program early, as well as to exit from within a nested loop or function call. This can be useful when you do not want to keep looping through an infinite loop or if you want to exit out of a function early. The best part about this function is that you can set the return code by passing any integer value as the parameter inside of the exit() statement. This is useful for later on in your main program when analyzing how the program terminated. You can visualize this in action here: