Final Exam: Python Journeyman
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
This final exam will test your understanding and application of the skills covered in the Python Journeyman track of the Python Novice to Pythonista Aspire Journey.
Expected Duration (hours)
0.0
Lesson Objectives Final Exam: Python Journeyman
configure a route in your Flask app so that POST requests can be submitted to it
convey the invocation of an operation to end-users using message flashing
create a condition instance that will have multiple threads waiting for data to be generated
create and execute a coroutine using the asyncio module
create a pool of processes to which tasks can be submitted
create a readme file for a Python module which bundles documentation and testing in a single file
define and execute multiple tests within a single test case
define a route that renders an HTML page when a URL is accessed
define a script testing out multiple functions in the source using the PyCharm IDE
define, initialize, and execute a process in Python
describe multithreading and compare its performance with sequential execution of tasks
describe the different types of Queue objects available in Python
describe the implementation of threads and processes in the Python language
describe the steps involved in a web request and the role of web applications in the process
distinguish between multiprocessing and multithreading in the context of sharing data in memory
download, install and configure the PyCharm IDE
execute queries against tables using an SQLAlchemy model
execute tests defined in multiple scripts using pytest
execute two threads concurrently to save time relative to a sequential execution
generate hashes of passwords using the Bcrypt package
generate URLs dynamically using the url_for function
handle successful and unsuccessful HTTP requests according to the status code of the response
identify the specific use cases for multithreading
implement producer and consumer threads that add to and remove from a queue
initialize and execute a thread in Python
install Flask in a virtual environment on your development machine
install SQL Alchemy and use it to connect the Flask application to an SQLite database
install the latest version of Python and write a test using the unittest framework
install the Python Requests package and set up a workspace
invoke PUT, OPTIONS, and DELETE requests and recognize the specific use case for each of them
make a GET request and explore the response object returned
make a GET request and explore the response object returned, which includes a status code and headers
modify the boilerplate CSS and HTML definitions to customize the look of a web site
pick the tests to execute based on the test function names
recall the features of the Flask framework that are available either out of the box or via extensions
recognize the conditions under which a deadlock may occur
recognize the various pieces that can make up web applications and the role of web frameworks in defining them
recognize what a race condition is and when it can occur with concurrent programming
recognize what sequential execution is and what its limitations are
recognize when a test script will benefit from the use of fixture functions
recognize where doctests can be placed within source code
retrieve metadata for a resource using a HEAD request
return a custom error page whenever a 404 error is invoked on your web site
select the tests to execute based on the test function names
serve a custom error page whenever a 404 error is invoked on your web site
set a name for a thread and ensure a thread waits for a created thread to complete
stop the execution of tests when there are a specific number of test failures
summarize how semaphores can restrict the number of concurrent tasks accessing a shared resource
use SQL Alchemy to generate relational database tables for each model defined in your application
use the Bcrypt package to generate hashes of passwords so that they can be stored securely
use the different decorators available in unittest to conditionally and unconditionally skip specific tests
use the Flask debugger to record information in your application's log
use the map function of multithreading. Pool instance to submit multiple tasks to a process pool
use the Requests package to construct a POST request that includes a set of key-value pairs to be submitted to a server
use the run, create_task, and gather functions in the asyncio modules to execute tasks
use the setUp and tearDown functions to define common operations for tests in a script
using an SQLAlchemy model, execute queries against tables
write and execute a test using pytest
write and execute a test using the doctest module
write the code for a simple "Hello World" web site using Flask
Course Number: it_fepnp_03_enus
Expertise Level
Everyone