Final Exam: Python Novice Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Final Exam: Python Novice will test your knowledge and application of the topics presented throughout the Python Novice track of the Skillsoft Aspire Python Novice to Pythonista Journey.
Expected Duration (hours)
0.0
Lesson Objectives Final Exam: Python Novice
access and update list elements
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
convey the fact that no action is performed under specific conditions by using the pass statement
create and initialize dictionaries
create and initialize lists in Python
create and initialize sets
create closures that have access to local state variables
create deep copies of lists where changes to the copy do not affect the original
create dictionaries with other complex data types as values
create floating point, integer, Boolean, and string variables
create new lists from existing lists using slicing operations
create shallow copies of lists
define and invoke functions with input arguments
define closures in Python
define functions
define, invoke, and name functions
evaluate conditions involving complex data types using if statements
evaluate conditions involving primitive data types using if statements
evaluate multiple conditions for decision making
executing built-in functions with lists
identify how conditions in Python work
identify when it is appropriate to use the break keyword to stop a while loop
implement a basic while loop and recognize what conditions can cause it to become an infinite loop
implement basic concepts into some real programming such as conversions between datatypes and some Python built-in methods
implement custom functions
implement function recursion
implement generator functions using the yield keyword
include if-else statements and other for loops within a for loop
install the Anaconda distribution of Python to run Python in a Windows environment
invoke a function from within its body
modify and update dictionaries using dictionary methods
pass functions as input arguments
pass functions as input arguments to other functions
perform shallow and deep copies of Python strings
perform shallow and deep copies of sets
recall custom functions
recall how functions work as objects
recall how to convert an integer to a float, and a float or an integer to a string and vice-versa
recall the syntax for defining while loops within a single line
recall what it means to pass arguments by value
recognize the function of associating an else block with a Python for loop
reference global variables from within a function
return information from functions
run the Jupyter notebook server to execute Python code on a Mac machine
run the Jupyter notebook server to execute Python code on a Windows machine
skip an iteration of a for loop when a specific condition is met using the continue statement
skip steps in individual iterations of a while loop using the continue statement
solve various programming problems using some Python built-in methods
specify global and local variables in Python
specify the similarities between lists and tuples
terminate a for loop when a specific condition is met using the break statement
use built-in functions in Python to perform operations
use for loops to process the elements in a list and the characters in a string
use the else keyword
use the Jupyter notebook server to execute Python code on a Mac machine
use variables in place of values directly
use while loops to carry out actions while evaluating expressions based on numerical and string data
work with the math module in Python
work with the os module in Python
Course Number: it_fepnp_01_enus
Expertise Level
Beginner