SQL
Here is the space for SQL questions and solutions I worked on.

This is an on-going practice space. I am still learning SQL and I didn't just come up with solutions. I utilize my own knowledge, which is also acquired from my professor, my classes, and the resources I have read. I can't count for the originality of all my answers since Google is my best friend :P But these are all my hard work and process of learning, I will do another round of recap and practice on problems I worked on, so there will always be changes here.
While learning SQL, a few resources substantially inspired me to get started and start my own work log. I find them very knowledgeable and helpful, so I want to cite them here so you can get help from them too!
Resources
1.Gitbook by Nikkesan https://nikkesan.gitbook.io/hackerrank/
Nik is a software developer at Sync located in London, UK. She is an active coder and learner, which motivates me to practice my own skills. She has inspired me to start my own Gitbook because I find this web page easy to organize for someone who doesn't have CSS and HTML skills to build a website. You can find her on Github or LinkedIn
2. Meogrocery by Fan Ni https://nifannn.github.io/
Fan is a machine learning engineer who graduated from George Washington University. (per Fan's LinkedIn profile) He has lots of knowledge of different machine learning topics and has a great website called Memogrocery to store his practices. You can check out different topics he shares solutions to, but I encourage you to practice first on your own. It's a great resource if you want to look for project ideas or questions to review.
3. Google search
This is the most powerful knowledge base I have ever use. If you have a question in mind, and you can consistently revise your question to find the answers you need. ( Usually, you do not get the exact answer on your first try for a complicated question or a general question, revision and thoughtful changes in the way you ask questions will help optimize your search results. By all means, it's all about continuous learning and optimization.
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