Practical Python Practice Problems for People who Pipet
Learning to code is much more fun - and useful - if you practice with things that are practical for you (not just petal lengths and titanic passengers). These are just a few suggestions to get you started. Try writing functions to….
Given a mass, calculate the number of moles (or nanomoles, etc.)
Given a mass and volume of a solution, calculate the molarity
Given the molarity of a solution, calculate the concentration in terms of mass/volume
Given a mass, calculate the volume to dilute it in to get to a desired concentration
Do C1V1 = C2V2 dilution calculations
Take a numeric value and determine what's the best metric prefix based on size (choose prefix that avoids decimals)
* Challenge: incorporate a “best” option into the above functions (do the calculation & return the answer with the best prefix)
Convert between metric units
* Challenge: default to base units if desired unit not provided
* Challenge: give option of "best", which will choose the best prefix
Take a list of values and determine whether you need to convert any units
Challenge: Convert if needed
Level up: incorporate a unit check & conversion into your calculation functions (take a list with values having any units, convert if needed, do the calculations, and return the answer with the best prefix)
Big challenge: Write a buffer brewer function to calculate volumes of stock solutions needed for desired final solution.
Bigger challenge: return a dataframe with initial concentrations, final concentrations, & needed input volumes. Also print out a formatted list of what to prepare.
Bigger challenge: allow input to be given as a dictionary, dataframe, or csv file
I recommend figuring out the syntax outside of a function so you can troubleshoot more easily. Then incorporate what you came up with into a function. Collect your functions into a python script and then you can import that as a package into your other scripts and use those functions over and over anywhere!
* You can import a module from a .py file containing functions you want to use (e.g. lab_calc_functions.py).
* If a module is not in your current directory, make sure Python knows where to look for it.
* basic import (import module_name)
* if you just use import "module_name" you will have access to the functions in the module - but each time you want to use one, you will need to direct Python to the module (using dot notation) by its full name
* i.e. lab_calc_functions()
* import as (import module_name as nickname)
* Module names can be long and you probably don't want to have to type out long names each time you want to use a function, so you can use "import" module "as" nickname to simplify the typing.
* i.e. import lab_calc_functions.py as lc
* importing individual functions (from module_name import cool_function)
* if there are only a couple of functions you need, or if there are some you want to use a lot, you can import the function directly and then you don't need to specify the module
* importing everything (from module_name import *)
* Using the asterisk imports everything from a module with its names so you never have to specify the module name for them
* This is typically not recommended because
* Different modules may use the same names for different functions & then Python wouldn’t know which you wanted
* It can make it harder to de-bug things if there’s a problem with a module (you can’t easily see where it comes from)
* autoreload
* Different modules may use the same names for different functions & then Python wouldn’t know which you wanted
Try yourself and if you get stuck, Google. But if you want to see how I did it (which I know is not the best!) I uploaded my Python function file here: https://drive.google.com/file/d/1-U4Y...
downloadable form of this: https://docs.google.com/document/d/1V...
And for more Python tips & resources, see: https://bit.ly/bb_python_tips
more videos on coding stuff: • coding stuff
blog form: https://bit.ly/pythonpracticeproblems
more about all sorts of things: #365DaysOfScience All (with topics listed) 👉 http://bit.ly/2OllAB0 or search blog: http://thebumblingbiochemist.com
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