Blog

Pandas Describe: Descriptive Statistics on Your Dataframe

Learn how to use the Pandas describe method to generate summary statistics on your Pandas Dataframe, including changing percentiles.

Use the Python rfind method to find the last, or right-most, index of a substring in a Python string, including the difference to rindex.

Learn how to implement Python SHA256 using the hashlib module, including working with unicode strings, files, and Pandas Dataframes.

Learn to use Python to calculate e, or the Euler’s number, using the math library, including the exp function to calculate from scratch.

Learn how to use Python to truncate a float using the int function, math library, string functions, f-strings, and truncate lists of numbers.

Learn how to use the Python Pandas shift function to move a dataframe’s rows up or down, including working with time series and missing data.

Learn how to use the Python isdigit, isnumeric, and isdecimal methods to check whether or not a string is a number and their differences.

Learn how to use Python to return multiple values from your functions, using tuples, lists, and dictionaries to understand function outputs.

Learn how to use Python to calculate the natural logarithm, often referred to as ln, using the math and numpy libraries, and how to plot it.

Learn how to use Python for exponentiation, meaning how to raise numbers to a give power, including how to use operators and math.

Learn how to sample data in Pandas using Python, including how to use the sample function, reproduce results, and weighted samples of data.