For newcomers and beginners, Python is incredibly easy to learn and use. Part of the reason is the simplified syntax with an emphasis on natural language. To read more posts from Kayla, subscribe to her blog Productivity Bytes. By subscribing you accept KDnuggets Privacy Policy.
Tags: Programming Languages , Python. By Kayla Matthews , Productivity Bytes. Previous post. Seeking a Data Storage Format for Deep Being a high-level programming language, Python reads exactly like English. This takes a lot of syntax-learning stress away from the beginners. Also, Python takes care of a lot of complexity for you so you don't have to worry about it. All you have to do is focus on learning the programming concepts and not have to worry about all the details.
It's also very flexible. As a dynamically typed language, Python is known to be very flexible. This means that there are no strict rules on how to build features. And this gives you a lot of flexibility solving problems using all the kinds of methods you want to.
Additionally, Python is very forgiving on errors. You'll still be able to compile and run a problem until you hit the problematic part. Python is slow. Interpreters add a lot of overhead. Dynamic typing prevents code optimization. If you implement your algorithm as best as possible in e. Python is not much good at it, as its interpreter uses a global lock for thread synchronization. Python's popularity doesn't look like it will slow any time soon.
And with so many uses and such demand across a range of industries, it only makes sense to jump on the Python train and start learning. Is Python the best language for you?
That depends on your personal preference and what you'll be using it for. But with such great readability, huge support libraries, and a lively community, we think Python is hard to beat! They're beginner-friendly and full of useful exercises and helpful tips. Take a look at the course outline for Part One here and begin your Python journey today.
Back to articles list Articles. Learn Python, save lives. Yep, you heard me. Python — Helping Kill Cancer One Pharmaceutical Advance at a Time Every year, Python comes out on top in surveys of the world's most commonly used programming languages. If you ever, heaven forbid, face cancer or cardiovascular disease, it might just be Python that helps save your life. What Exactly Is Python? I have two nuggets of good news for you: Python is simple, user-friendly, and easy to learn for programming beginners.
Who Uses Python? Web developers Many developers think of Node. Data scientists Data is the new black, and data scientists are like gold to companies looking to extract insights from the world's datasets. Teachers If teaching is your dream job but you've never been sure where your skills lie, Python might be the break you're looking for. Why Is Python So Popular? Let's examine the pros of this language.
It's simple Python's simple syntax makes it very accessible to beginners. Here's an example, inspired by Monty Python: The first piece of code is written in Java: Here's the Python code: print "Nobody expects the Spanish inquisition" See the difference in complexity? It's easy Python is easy to organize and analyze. The awesome Python community There's a big, supportive Python community and plenty of guides.
The awesome libraries Python developers can make use of extensive libraries. It's alive! The Cons Nothing is perfect, Python included. It's weak in the mobile computing world. Python isn't a bad language for mobile development. But with few businesses using the language in their mobile applications, it's tricky to find mobile developers well versed in Python.
Users face design restrictions and runtime errors. Python is a dynamically typed language, so it can have design restrictions that lead to runtime errors. Because of this, Python generally requires more testing time than other languages. Python is the 'baby language' of the programming world.
Some programming snobs have likened Python to a 'baby language. We think this is an elitist view held by people who are angry that they learned a more complicated language. One of Python's founding principles is that "simple is better than complex.
Tags: python learn Python python basics. Do you want to advance your career by learning Python? It is incredible to know that one can reach an advanced level of automation easily by just using necessary python codes.
Python is the best performance booster in the automation of software testing also. One will be amazed at how much less time and few numbers of lines are required to write codes for automation tools. Some of the reasons why Python is growing at a supersonic speed.
We hope this article has shed some good light on python language and its importance. Python has a solution for every field. It is the most versatile language till now and has a bright future ahead. There is a long list of fields where Python is considered to be the most suitable programming language.
Many sectors including the healthcare sector, finance sector, aerospace sector, and banking sector rely heavily on Python. There are many big names that have either built their applications on Python or have completely shifted their tech stack to Python.
Python was founded around 30 years ago and so it has a vast community of efficient developers. These developers are constantly helping out the beginners through their constant support and in-depth journals.
There is plenty of documentation and guides that the newbie programmers could learn and enhance their Python.
We have seen that many programming languages do not grow due to the lack of community support. But Python is lucky in this case. Python is a very versatile language and if you have a good knowledge of Python, there can be various career opportunities in your hand.
Some of these opportunities are as follows: You can be a Python developer right after acquiring the Python knowledge. Python developers are responsible for building websites, optimize data algorithms, or write clean and efficient Python codes.
A data analyst has to deal with large sets of data, analyze them and make them visualized. If you are a Python geek and love to play with data then this job is for you. Project management is in high demand as a project manager is highly responsible for the business and marketing of the companies. Data Science.
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