Should i learn python 3

Python 3 Statement is a project where many of the main scientific libraries are committing to stop supporting 2. Recently, the popular web-framework Django announced that their new 2.

Until recently, I thought this was just because Zed was too lazy to update his course, but recently he published a controversial article: The Case against Python 3. From one perspective, I was lucky enough to enter the world of Python much more recently, in early I started learning Python as part of the data science curriculum at Dataquest.

Dataquest only teaches 3. Python 3. Very soon there will be no future security or bug fixes for Python 2. In the unlikely event that you end up working with a legacy Python 2 code base, tools like python-future will make it easy for you to use having only learned Python 3.

I hope this has helped you understand this controversial topic and make your decision to learn Python 3. Dataquest is the best online platform for learning to be a Data Scientist using Python 3. Although I eventually learned how, in the process of learning Python for my work, I was presented with different job opportunities where I could use Python, and learned about different companies who were looking for people experienced in Python.

And so I made a switch. There are a lot of Python-related roles in prominent industries. According to ActiveState , the industries with the most need for Python are insurance, retail banking, aerospace, finance, business services, hardware, healthcare, consulting services, info-tech think: Google , and software development. From my own experience, I would add media, marketing, and advertising to that list.

Why so many? As these industries modernized, companies within them have been collecting and using data at an increasing rate. Their data needs have become more varied and sophisticated, and in turn, their need for people capable of managing, analyzing, and operationalizing data has increased. A lot of top tech companies value Python programmers.

Google engineers have developed several libraries for the benefit of the Python community including Tensorflow, a popular open-source machine learning library. YouTube uses Python to administer video, access data, and in various other ways.

And most importantly, the organization continues to recruit and hire more people skilled in Python. Lastly, with demand often comes reward. Companies looking to hire people skilled in Python often pay top dollar or the promise of increased salary potential. The simple answer? Learn the latest version which at time of writing is Python 3.

This is the best way to future-proof yourself as more and more programmers pursue Python 3 adoption. Keep in mind that Python 2. Luckily, whichever version you start with, it will be fairly easy to transfer your knowledge to the other if needed. What the course covers: All the basics like strings, expressions, loops, functions, exception handling, etc.

Great way for someone with zero prior knowledge to learn to code Python. What the course covers: Covers core programming tools such as functions and loops, as well as variables to store, retrieve, and calculate information. Why pick this particular course: 4. What the course covers: Python syntax, simple algorithms, how to think computationally, data structures, and more.

Why pick this particular course: Building real projects that you can use in the real world is essential to learning effectively. As an open-source language, Python is accessible and free for anyone to use. Because of this, other programmers have helped debug and refine it over the years. Python is the base for frameworks like Django and Pyramid, providing simplicity and ease of use for Python developers.

Python frameworks are fantastic tools to use for developing an app rapidly while maintaining a high standard. Python 2. With that in mind, the Python Labs team released Python 2. The latest version of Python 2 was Python 2. Python 3. Rather, it completely changed the language into one with forward-compatibility, meaning it will only support new versions that come after it.

The purpose of Python 3 syntax was to prevent redundant or repetitive code—code that essentially does the same tasks in different ways. X aims to procure only one, clear way of doing things. For novice programmers, this immediately discards the main problems that occur when learning a programming language. Python 3 is a multi-paradigm language, which means it has a variety of classifications for its purposes.

With its functionality, Python 3 is perfect for a broad range of things like web development, data science, and analytics scripting. The complete overhaul of Python 2 was not necessarily because the language is bad. Python 2 is an untyped language, which impedes on creating new code. Python 2 and Python 3 have a few key distinctions. Syntax is the major one, like with the print function. Python 3 has clear, existing commands already built into the code, making it very user-friendly.

The type of default text strings is another difference. This gives it the ability to represent foreign languages and other widely used symbols and emojis. As for libraries, Python 2 is not forwards-compatible like Python 3 is.