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- Data Science. Python is the preferred programming language of most data scientists. Be it IT ops, software development or marketing, currently every job makes use of data and depends on it to drive their operations.
- Easy to Learn. Python is an easy language to master. This is chiefly because of its resemblance to the English language. Python’s syntax is characterized by very few rules and special cases.
- Cross-Platform and Open Source. It’s been more than 20 years since this language has been running cross-platform and open source. Be it Linux, Windows or MacOS, Python code works on every platform.
- Versatile Language and Platform. Python remains very relevant today as it can be used in any operations scenario or software development, be it in managing local and cloud infrastructure, working against a SQL database, developing a custom function for Hive & Pig, supporting object-oriented design or even developing a small tool for the user.
- History of Python 2 vs. Python 3
- What’s The Difference Between Python 2 and Python 3?
- Why Should You Learn Python 3?
- Why Should You Learn Python 2?
- Getting Started with Python
Python 2 came out in 2000. The upgrade to the language was designed to make it easier for the average person to learn, but it also added many features developers needed, like list comprehension, Unicode support, garbage collection, and improved support for object-oriented programming. With all these benefits, it wasn’t a hard choice for developers ...
Python 3 brought many changes to the language, both large and small. For example, with Python 2, division between integers always returned another integer — so if you divided 7 by 5, you’d get 1. With Python 3, the same formula will return the actual value of 1.4 as a float. Another change involved the print keyword in Python 2 becoming the print()...
Python 3is the obvious choice for any developer that is beginning to learn to program. The changes that were made to the language make it easier to write quality code using the language. This is why the version was created in the first place. It just took a while for the Python community to catch up and upgrade all the third-party libraries that de...
While you may not find much Python 2 code in use, you may still run into it from time to time. Most companies have what they call legacy code. This is code that is already working, and development on it has finished except for fixing bugs that may pop up once in a while. You might see Python 2 code in companies that don’t see the upgrade to Python ...
Python has a long history now but has only gone through three major changes in its 30 years. For the longest time, most developers chose Python 2 over Python 3 because most of the Python ecosystem was written in the former, even though the latter was a big improvement. But that’s changed. Today, most libraries are written in Python 3 because Python...
Mar 1, 2023 · Tips for Learning Python. While Python is a great first language to learn, that doesn't make it a walk in the park. You'll want to take the necessary steps and find the right tools to help you along your learning path. First of all, having the right resources is a good start, and a roadmap can be very helpful.
Aug 23, 2022 · 2to3: A Python program that takes Python 2.x source code and applies a series of fixers to transform it into valid Python 3.x code. Python-Future: Allows you to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. Six: A Python 2 and 3 compatibility library. It provides utility ...
Sep 28, 2022 · Python 3 Is the Clear Winner. Python 3.x is the future, and with Python 2.x support dwindling, you should spend your time learning the version that will endure. And if you’re worried about compatibility issues, don’t be. I’ve used Python 3.x exclusively and rarely run into compatibility issues.
Oct 13, 2023 · The blog addresses the ongoing debate between Python 2 and 3, highlighting key differences like syntax, performance, and library support. Python 3 is recommended for those starting or working in emerging tech fields like AI and machine learning. However, Python 2 still has its place, particularly in legacy projects and some DevOps tools. Both versions have merits, but Python 3 is the more ...
People also ask
Should I learn Python 3 or Python 2?
Can I write Python 2 If I know Python 3?
Should you learn Python?
Does Python 3 support typing?
Is Python 3 better than Python 2?
What is Python 2 to 3?
If you’re debating on whether or not you should learn Python, the answer is probably yes. As any developer will attest, it’s a great addition to almost any tech stack — and it consistently ranks highly among the most popularly used programming languages. Python’s popularity stems largely from its power and versatility.
