Final Exam: Python Novice

WHAT YOU WILL LEARN

• 

  Perform shallow and deep copies of python strings
  

  use the jupyter notebook server to execute python code on a mac machine
  

  create and initialize dictionaries
  

  use while loops to carry out actions while evaluating expressions based on numerical and string data
  

  return information from functions
  

  specify the similarities between lists and tuples
  

  evaluate multiple conditions for decision making
  

  recognize the function of associating an else block with a python for loop
  

  modify and update dictionaries using dictionary methods
  

  work with the math module in python
  

  create shallow copies of lists
  

  executing built-in functions with lists
  

  evaluate conditions involving primitive data types using if statements
  

  skip steps in individual iterations of a while loop using the continue statement
  

  pass functions as input arguments
  

  install the anaconda distribution of python to run python in a windows environment
  

  define functions
  

  implement generator functions using the yield keyword
  

  skip an iteration of a for loop when a specific condition is met using the continue statement
  

  recall how to convert an integer to a float, and a float or an integer to a string and vice-versa
  

  recall how functions work as objects
  

  code for loops to iterate over values in a tuple and the keys and values in a dictionary
  

  create floating point, integer, boolean, and string variables
  

  create and initialize lists in python
  

  include if-else statements and other for loops within a for loop
  

  identify when it is appropriate to use the break keyword to stop a while loop
  

  recall what it means to pass arguments by value
  

  create dictionaries with other complex data types as values
  

  implement a basic while loop and recognize what conditions can cause it to become an infinite loop
  

  create new lists from existing lists using slicing operations
• 

  use built-in functions in python to perform operations
  

  solve various programming problems using some python built-in methods
  

  create and initialize sets
  

  recall the syntax for defining while loops within a single line
  

  run the jupyter notebook server to execute python code on a windows machine
  

  create closures that have access to local state variables
  

  specify global and local variables in python
  

  run the jupyter notebook server to execute python code on a mac machine
  

  create deep copies of lists where changes to the copy do not affect the original
  

  convey the fact that no action is performed under specific conditions by using the pass statement
  

  add, remove, sort, and reverse elements from a list
  

  reference global variables from within a function
  

  evaluate conditions involving complex data types using if statements
  

  use for loops to process the elements in a list and the characters in a string
  

  pass functions as input arguments to other functions
  

  implement function recursion
  

  perform shallow and deep copies of sets
  

  implement custom functions
  

  define closures in python
  

  work with the os module in python
  

  terminate a for loop when a specific condition is met using the break statement
  

  invoke a function from within its body
  

  recall custom functions
  

  implement basic concepts into some real programming such as conversions between datatypes and some python built-in methods
  

  define and invoke functions with input arguments
  

  use variables in place of values directly
  

  define, invoke, and name functions
  

  use the else keyword
  

  access and update list elements
  

  identify how conditions in python work