Question proposal - Githubissues

lucydot commented 1 year ago

Authors

@lucydot

Title

Slicing lists

Question

Use Python slicing to select 'nan' from the word 'banana'

Answer

word = 'banana'
print(word[2:5])

Checklist items

[ ] Create a new Jupyter Notebook
[ ] Save and download a Jupyter Notebook
[ ] Create Markdown cells in a Jupyter Notebook
[ ] Run Python code in a Jupyter Notebook
[ ] Create in-line code comments using #
[ ] Use variables to store values
[ ] Use print to display values
[ ] Use meaningful variable names
[ ] Explain the difference between integers and floats
[ ] Explain the difference between numeric values and strings
[ ] Convert between numbers and strings
[ ] Round a number to a specified number of decimal places
[ ] Use help() or ? (in Jupyter Notebooks) to access help documentation for a function
[ ] Descrive the difference between syntax errors and runtime errors
[X] Create a Python list
[ ] Find the length of a list
[ ] Fetch an item from a list using list indexing
[X] Fetch multiple item from a list using list slicing
[ ] Replace an item in a list with a new value
[ ] Identify the iterable, dummy variable and loop body in a For loop
[ ] Use a For loop to repeat a basic programming task
[ ] Use range to iterate over a sequence of numbers
[ ] Use if to control whether a block of code is executed
[ ] Combine a for loop and an if loop to implement a basic programming task
[ ] Use a combination of if, elif and else to implement a basic programming task
[ ] Test if a combination of things are true using and or or.
[ ] Define a simple function that returns a value
[ ] Call a custom-made function
[ ] Explain the difference between local and global variables
[ ] Import a library
[ ] Import a library using an alias (nickname)
[ ] Read in data from a text file
[ ] Describe the difference between Numpy arrays and Python lists
[ ] Write a Numpy array to a text file
[ ] Create a one-dimensional Numpy array with zero-values
[ ] Create a two-dimensional Numpy array with zero-values
[ ] Create a one-dimensional Numpy array with pre-defined values
[ ] Create a Numpy array with evenly spaced numbers over a given interval
[ ] Create a Numpy array with evenly spaced numbers over a given interval in logspace
[ ] Combine the enumerate function with a for loop to populate a Numpy array
[ ] Use array indexing to select a single element from a 2D array
[ ] Use array slicing to select a column of a 2D array
[ ] Use array slicing to select a row of a 2D array
[ ] Generate a basic line plot
[ ] Generate a basic scatter plot
[ ] Label the plot with an x-axis label, y-axis label and title
[ ] Create a plot legend
[ ] Use a figure and subplots to group similar plots
[ ] Save a plot as a .png file
[ ] Use the least-squares method to fit a polynomial function to data
[ ] Plot the polynomial fit alongside the raw data for comparison
[ ] Use Numpy array operations to perform mathematical operations across an array
[ ] Use Numpy functions e.g. mean, max, min or round across one or more array axes.
[ ] Plot the uncertainty associated with a measurement using an errorbar
[ ] Use assertions to check for internal errors
[ ] Write docstrings to provide help messages
[ ] Print package version numbers to increase code reproducibility
[ ] Re-factor code to reduce code repetition and remove redundant code

✨ @lucydot has up-voted! Total votes: 1

lucydot commented 1 year ago

choochoo vote up

choochoo-bot commented 1 year ago

Your vote has been registered ☑️

lucydot / KD5081-Checklist

Question proposal #43

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