Num_surveys = (num_subjects -1) // num_per_survey + 1
Num_surveys = num_subjects // num_per_survey + 1 Num_surveys = num_subjects // num_per_survey Print('string to float:', float("hello world")) #will return 'could not convert string to float error' Print('first is', variable_one, 'and second is', variable_two) * What happens when you choose a stop value which is out of range? (i.e., try species_name or species_name) * species_name (without a value before the colon) * species_name (without a value after the colon) Use length function to find the length of a string Using an index to get a single character from a string **What are the values of the variables in this program after each statement is executed.** Print(last_name) #will return a nameError because last_name varialbe is not defined
Print(first_name, 'is', age, 'years old') What would be the advantage to coding in JupyterLab vs. I don’t have first hand experience with Spyder, but one suggested differentiation is as follows: Consider Jupyter if you work on data-driven projects where you need to easily present data to a non-technical audience.Ĭonsider Spyder for building data science applications with multiple scripts that reference each other. Is there an advantage of jupyter over spyder, since they both come with anaconda? Please enter any questions not answered during live session here: | Danny Heinz | UCSD | Biosci | | Kian Falah | UCSD | Medicine | Falah | UCSD | Medicine | Kapur| UCSD| CMM| Day 1 Questions: | Lydia Keppler | UCSD | Scripps Oceanography | | |Aga Kendrick | UCSD |CMM Po-Kai Hsu | UCSD | BioSci | Manzanarez | UCSD| Biosci | Gutierrez | UCSD | International Business | | | Lindsey Young | UCSD | Bio | Elizabeth Alcantara | UCSD | Andres Nevarez| UCSD | Bio | | |Clara Ortez |UCSD Health |Psychiatry Lyu | UCSD |BioSci | | | Joseph Oh | UCSD | Bio | D'Ambrosio | UCSD | Michelle Truong | UCSD | IGDPH | | Lenissa Alcantara|UCSD|Biological Mathi Ganapathi | UCSD | Biomedical| | Name (first & last) | Organization |Dept. # First name and Last Name/Organization/Dept./Email # UCSD Carpentries Bootcamp - Python & Git (June 2022)Ī copy of the instructor live session notes will be made available to participants upon request at the end of the workshop.
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