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Based on our record, Codecademy seems to be a lot more popular than Parse.ly Analytics. While we know about 112 links to Codecademy, we've tracked only 3 mentions of Parse.ly Analytics. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Codecademy is a freemium platform with high-quality content. Their courses range from web development to data science, and are interactive and text-based. - Source: dev.to / about 1 month ago
If you really have decided to become the next Guru on Scratch then you should learn at least one real programming language like JavaScript. I found this JavaScript course very useful: https://learnjavascript.online/. You can also learn Java and Python on codecademy.com. - Source: dev.to / 10 months ago
Codecademy.com makes use of a similar approach to the one you mentioned in order to teach JavaScript (and HTML and CSS), giving immediate feedback for the code you write on your browser (except that it uses the browser, as mentioned, instead of an IDE). Source: 11 months ago
Codecademy offers interactive coding courses for various programming languages, including Python and JavaScript. It provides a hands-on learning experience and offers a free trial to get started. codecademy.com. Source: 12 months ago
My recommendation is to sign up for codecademy.com and create an account to learn SQL over there. Also use sqlbolt.com because both of these websites provide detailed interactive SQL tutorials that should help you write it. You write the SQL as you learn it which is a better way of learning it in my opinion. Source: 12 months ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
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