Laboratory Chemical and microbiological testing services, application support, consultation, and training for hospital decontamination departments and suppliers. In the few years that followed, several tools were released to help the transition of older codebases from Python 2 to Python 3. And if you’re worried about compatibility issues, don’t be. I’ve used Python 3.x exclusively and rarely run into compatibility issues. Systems Range of data acquisition and reporting software, data loggers, and calibration equipment to support decontamination validation applications. For one, there are a lot of older, free resources online to learn Python that are based in Python 2. This includes most MOOC courses from platforms like Coursera, Udemy, and edX.

We understand that dentistry is constantly evolving, and staying ahead requires continuous education and skills development. That’s why we have provided an e-learning platform designed to empower dental professionals at every stage of their career. Still, it became clear Python 2’s days were limited. In 2017, the popular web-framework Django announced that their new 2.0 version would not support Python 2.x. With all the debate over Python 2 versus 3, you’d think the decision to learn one or the other would be a difficult one. In reality, though, it’s pretty straightforward. Python 3 Is the Clear Winner iLearn Primary Care Relevant, informative courses written by experts for clinical CPD and mandatory training.

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Despite Eevee’s excellent rebuttal For Python 3, Zed’s diatribe took its toll. Of course, the number of people who agree with Zed are in the extreme minority today. But the entire controversy slowed the transition from Python 2 to 3. And it also muddied the waters for a lot of newcomers to the field. So Which Python Should I Learn? Need a more thorough explanation? Let’s start by taking a brief look at the history behind the Python 2 versus 3 debate. 2008: The Birth of Python 3.0

Sorry, no diploma.

Plus, Zed Shaw’s extremely popular Learn Python the Hard Way was written in Python 2.x. And he didn’t write a book about Python 3 until 2017 — almost a full decade after its release!

Until recently, I thought this was just because Zed had been too lazy to update his course for all of those years. But then I found his controversial article: The Case against Python 3.

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This is one of the questions we hear most often at Dataquest, where we teach Python as part of our Data Science curriculum. iTeam A complete HR solution – stay on top of everything to do with your team, their wellbeing and employment. Other projects started to release 3.x compatible versions in the years that followed. By 2012, a lot of libraries had support for 3.x, but most were still being written in 2.x. Over time, tools were released that made porting code across easier, but there was still a great resistance to move. Scratch Maps– programaninteractive map in to provide facts about a place or landmark using inputs and outputs. iLearn Care Core and mandatory online training for residential, nursing and domiciliary care providers.

If you want the short answer, here it is: You should learn Python 3 because it’s the version most relevant to today’s data science projects. Plus, it’s easy to learn, and there are few compatibility issues to worry about.TeamNet A knowledge, compliance and workforce management solution for GP practices, PCNs and other primary care organisations. Clarity Hospital Doctors Appraisal, revalidation and career portfolio software for hospital doctors and staff.