Hi everyone, my name is Neha and my article series is on conducting basic data analysis in Python using Jupyter Notebook.
1. What was the experience of creating your first "Learn in Public" series installment like?
It definitely took more time to put together than I originally anticipated. The execution of the code I wanted to cover wasn't tough but what proved to be challenging was going back and putting together the tutorial in a way that was clear and understandable and making sure I wasn't skipping any important steps.
2. Do you think you'll be able to cover everything you were hoping to explore in three installments, or do you plan on creating more?
I think I will be able to cover enough ground in three installments. There is of course a lot more in the realm of data analysis in Python but a three part series will provide a sufficient introduction.
3. How did your "Learn in Public" notes differ from standard learning/studying notes you've taken in the past?
I was able to note down all I learned by executing the code in the Jupyter Notebook as I went along. I found this to be a very interactive way of learning as I go.
4. How do you feel about the prep work you were asked to do for Mission 2? Do you think you'll be able to stick to the schedule you made?
I feel pretty good and that I've gotten a good wealth of information together. Now it's a matter of separating all that I've learned into digestible articles. I personally am not sticking to a schedule but I do have the deadline of March 10th for getting all the articles done.
Closing Thoughts
This is the first tutorial I have written. It was much more work than I anticipated and now I feel I'm able to appreciate all the tutorial posts out there much more. I look forward to continuing to finish this series and publishing more tutorials afterwards!
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Hi everyone, my name is Neha and my article series is on conducting basic data analysis in Python using Jupyter Notebook.
1. What was the experience of creating your first "Learn in Public" series installment like?
It definitely took more time to put together than I originally anticipated. The execution of the code I wanted to cover wasn't tough but what proved to be challenging was going back and putting together the tutorial in a way that was clear and understandable and making sure I wasn't skipping any important steps.
2. Do you think you'll be able to cover everything you were hoping to explore in three installments, or do you plan on creating more?
I think I will be able to cover enough ground in three installments. There is of course a lot more in the realm of data analysis in Python but a three part series will provide a sufficient introduction.
3. How did your "Learn in Public" notes differ from standard learning/studying notes you've taken in the past?
I was able to note down all I learned by executing the code in the Jupyter Notebook as I went along. I found this to be a very interactive way of learning as I go.
4. How do you feel about the prep work you were asked to do for Mission 2? Do you think you'll be able to stick to the schedule you made?
I feel pretty good and that I've gotten a good wealth of information together. Now it's a matter of separating all that I've learned into digestible articles. I personally am not sticking to a schedule but I do have the deadline of March 10th for getting all the articles done.
Closing Thoughts
This is the first tutorial I have written. It was much more work than I anticipated and now I feel I'm able to appreciate all the tutorial posts out there much more. I look forward to continuing to finish this series and publishing more tutorials afterwards!