Final Exam: Python Novice
Python 3.7 | Beginner
- 1 Video | 32s
- Includes Assessment
- Earns a Badge
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.
WHAT YOU WILL LEARN
perform shallow and deep copies of Python stringsuse the Jupyter notebook server to execute Python code on a Mac machinecreate and initialize dictionariesuse while loops to carry out actions while evaluating expressions based on numerical and string datareturn information from functionsspecify the similarities between lists and tuplesevaluate multiple conditions for decision makingrecognize the function of associating an else block with a Python for loopmodify and update dictionaries using dictionary methodswork with the math module in Pythoncreate shallow copies of listsexecuting built-in functions with listsevaluate conditions involving primitive data types using if statementsskip steps in individual iterations of a while loop using the continue statementpass functions as input argumentsinstall the Anaconda distribution of Python to run Python in a Windows environmentdefine functionsimplement generator functions using the yield keywordskip an iteration of a for loop when a specific condition is met using the continue statementrecall how to convert an integer to a float, and a float or an integer to a string and vice-versarecall how functions work as objectscode for loops to iterate over values in a tuple and the keys and values in a dictionarycreate floating point, integer, Boolean, and string variablescreate and initialize lists in Pythoninclude if-else statements and other for loops within a for loopidentify when it is appropriate to use the break keyword to stop a while looprecall what it means to pass arguments by valuecreate dictionaries with other complex data types as valuesimplement a basic while loop and recognize what conditions can cause it to become an infinite loopcreate new lists from existing lists using slicing operations
use built-in functions in Python to perform operationssolve various programming problems using some Python built-in methodscreate and initialize setsrecall the syntax for defining while loops within a single linerun the Jupyter notebook server to execute Python code on a Windows machinecreate closures that have access to local state variablesspecify global and local variables in Pythonrun the Jupyter notebook server to execute Python code on a Mac machinecreate deep copies of lists where changes to the copy do not affect the originalconvey the fact that no action is performed under specific conditions by using the pass statementadd, remove, sort, and reverse elements from a listreference global variables from within a functionevaluate conditions involving complex data types using if statementsuse for loops to process the elements in a list and the characters in a stringpass functions as input arguments to other functionsimplement function recursionperform shallow and deep copies of setsimplement custom functionsdefine closures in Pythonwork with the os module in Pythonterminate a for loop when a specific condition is met using the break statementinvoke a function from within its bodyrecall custom functionsimplement basic concepts into some real programming such as conversions between datatypes and some Python built-in methodsdefine and invoke functions with input argumentsuse variables in place of values directlydefine, invoke, and name functionsuse the else keywordaccess and update list elementsidentify how conditions in Python work
IN THIS COURSE
1.Python Novice33sUP NEXT
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