From the course: Python Essential Training

Wrap up

- So long, Farewell, auf wiedersehen, adieu. If you enjoyed this course, please leave a review, and if you didn't enjoy the course, well, hey, at least you know Python now, right? From here, your journey depends on what skills you're trying to acquire. If you're looking to enhance your foundational Python skills, I recommend picking a project you're interested in and just trying to build it. See what you get. To show off and track your changes, host it on GitHub. If you're pretty comfortable with what you've learned here, what do you need? Data science, web apps, automation? Python has you covered. There's no better data science library than scikit=learn. Combine it with data structures from Pandas or the Python Data Analysis Library, and you'll be a professional data wizard \in no time. If you want to build the next big app, Flask makes it fast and easy to build scalable rest APIs. The project is very intuitive and well-documented and they make it really easy to plug in with other libraries to build enterprise code. And a subject near and dear to my heart, web scraping. Python is, in my opinion, the best language for building powerful scrapers and bots to trawl the internet. The Python request Library's one of the best, easiest HTTP request libraries I've found, and Python's ability to integrate with web browser drivers like Selenium is unparalleled. For information on LinkedIn courses that cover these libraries, see my course recommendations guide in the exercise files. All of these libraries and projects I've mentioned are ones I've used and continue to use, sometimes on a daily basis myself. For almost every application of technology and computer science, there's a Python project dedicated to that field just waiting for you to install it. I really hope we meet again, it truly has been a blast. Thank you so much for watching this course and I hope you enjoyed it as much as I did.

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