Python Programming Literacy (Beginner Level)

Topics covered

• add, remove, sort, and reverse elements from a list
• code for loops to iterate over values in a tuple and the keys and values in a dictionary
• convert lists to dictionaries and vice versa
• convey the fact that no action is performed under specific conditions by using the pass statement
• create and initialize sets
• create dictionaries with other complex data types as values
• create new lists from existing lists using slicing operations
• define, invoke, and name functions
• define the interval in a sequence of increasing and decreasing integers using the range function
• describe how classes can be used as blueprints to create objects
• describe the advantages of using object-oriented programming
• evaluate conditions involving primitive data types using if statements
• evaluate multiple conditions for the purpose of decision making using the nested control structures
• identify how to use the if-else statement to make decisions involving complex data types such as lists, tuples, and dictionaries
• identify when it is appropriate to use the break keyword to stop a while loop
• include if-else statements and other for loops within a for loop
• iterate over a list of elements using while loops
• model is-a relationships using inheritance
• perform list functions on strings
• perform union, intersection, difference, and other set operations
• recall how to convert between various complex datatypes and view base conversions using the Python built-in functions
• recognize how the break statement affects the code in the else block of a for loop
• reference global variables from within a function
• solve various programming problems using some Python built-in methods
• specify conditions in list comprehensions in order to filter elements used in the source list and to define the values in the newly created list
• specify default values for function arguments
• specify the differences between lists and tuples
• specify the similarities between lists and tuples
• use while loops to carry out actions while evaluating expressions based on numerical and string data
• write functions with multiple return statements