Sara A. Metwalli
Doctoral Student at Keio University
Expertise: Data Science, Software Engineering, Quantum Computing
Education: Keio University

Sara A. Metwalli is a doctoral student researching quantum computing at Keio University in Tokyo. Originally from Egypt, Metwalli studied at Alexandria University where she earned her bachelor’s degree in electronics and communications engineering. Metwalli traveled to Tokyo to pursue her postgrad studies and, in 2018, earned her master’s degree in computer and communications engineering from the Tokyo Institute of Technology.  After finishing her master’s, she took a year off to learn about quantum mechanics and quantum physics while working as a part-time lecturer at Keio University and as a computer science instructor at Tokyo Coding Club. She is a content writer for SheCanCode and a lead for Women Who Code

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28 Articles
free-web-scraping-tools
Jul 12, 2022
The first step for any data science project is data collection. Here are a few web scraping tools to help you get started.
how-to-publish-python-code-pypi
Jun 14, 2022
Packaging and distributing your work doesn’t need to be such a painstaking task.
break-into-quantum-computing
Jun 14, 2022
What once seemed like science fiction is becoming mainstream. Here are five career options for aspiring quantum computing professionals.
Git and Version Control
May 17, 2022
Version control is hard to learn, but it doesn’t have to be! These five resources can help you get Git.
pseudocode
May 16, 2022
Pseudocode describes the distinct steps of an algorithm in a way that’s easy for anyone with to understand. Here’s how to write your own.
data-science-mentor
Apr 19, 2022
Whether you’re new to tech or just feeling lost as an underrepresented person in the field, these five communities can help support you.
quantum-computing-carrer
Apr 19, 2022
Breaking into quantum computing isn’t as difficult as it seems. Here are the top five skills you need to succeed.
mistakes-to-avoid-data-scientists
Mar 22, 2022
From early career data to senior-level professionals, these are the most common mistakes data scientists make . . . and how to avoid them!
python-code-snippets
Mar 08, 2022
Optimize your workflow with these everyday Python snippets.
Python
Feb 08, 2022
Are you new to data science? To succeed in the field, make sure you learn these libraries.
how-to-learn-quantum-computing
Feb 01, 2022
What is quantum computing and how can you break into the field? Use these resources to get started.
sql-vs-nosql
Jan 11, 2022
These are the major differences between SQL and NoSQL databases. How do you choose which one is best for your data?