A Week of SQL, NumPy and Pandas: What I Learnt, What Broke, and What Surprised Me
A beginner’s honest look at one week of data work: the wins, the errors, and the lessons I didn’t expect.
DataraFlow 2026
A beginner’s honest look at one week of data work: the wins, the errors, and the lessons I didn’t expect.
Choosing a research title sounded simple until I had to find a problem worth solving, investigate what was already known, and figure out how to make the research work.
This week of my Python learning journey focused on some of the things that make Python more practical beyond writing basic programs. I worked with modules, JSON, dates, error handling, user input, pip, and virtual environments .
My first week at DataraFlow was mainly about getting comfortable with Python. I was learning the basics, writing small programs, debugging errors, and gradually becoming more comfortable with the language.
Starting something new comes with a mix of excitement and uncertainty. For me, joining the DataraFlow program marked the beginning of my journey into data science, AI, and machine learning.