Reuven M. Lerner
This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Weekly Python Exercise (Autumn 2018 cohort)
Fifty-two weeks to Python fluency
Do you use Python? But do you also go to Stack Overflow to solve a problem? That's because you're not fluent in the language. What you need is directed practice in order to ipmrove. WPE is a year-long course that improves your Python fluency through a combination of exercises and community. Improve your Python, and your career, with WPE.
About Weekly Python Exercise (Autumn 2018 cohort) on Product Hunt
“Fifty-two weeks to Python fluency”
Weekly Python Exercise (Autumn 2018 cohort) was submitted on Product Hunt and earned 2 upvotes and 0 comments, placing #30 on the daily leaderboard. Do you use Python? But do you also go to Stack Overflow to solve a problem? That's because you're not fluent in the language. What you need is directed practice in order to ipmrove. WPE is a year-long course that improves your Python fluency through a combination of exercises and community. Improve your Python, and your career, with WPE.
Who hunted Weekly Python Exercise (Autumn 2018 cohort)?
Weekly Python Exercise (Autumn 2018 cohort) was hunted by Reuven M. Lerner. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Weekly Python Exercise (Autumn 2018 cohort) including community comment highlights and product details, visit the product overview.