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Exam Number : 98-381
Exam Name : Introduction to Programming Using Python
Vendor Name : Microsoft
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98-381 exam Format | 98-381 Course Contents | 98-381 Course Outline | 98-381 exam Syllabus | 98-381 exam Objectives


Perform Operations using Data Types and Operators (20-25%)
Evaluate an expression to identify the data type Python will assign to each variable
Identify str, int, float, and bool data types
Perform data and data type operations
Convert from one data type to another type; construct data structures; perform indexing and slicing operations
Determine the sequence of execution based on operator precedence
Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)
Select the appropriate operator to achieve the intended result
Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)
Control Flow with Decisions and Loops (25-30%)
Construct and analyze code segments that use branching statements
if; elif; else; nested and compound conditional expressions
Construct and analyze code segments that perform iteration
while; for; break; continue; pass; nested loops and loops that include compound conditional expressions
Perform Input and Output Operations (20-25%)
Construct and analyze code segments that perform file input and output operations
Open; close; read; write; append; check existence; delete; with statement
Construct and analyze code segments that perform console input and output operations
Read input from console; print formatted text; use of command line arguments
Document and Structure Code (15-20%)
Document code segments using comments and documentation strings
Use indentation, white space, comments, and documentation strings; generate documentation by using pydoc
Construct and analyze code segments that include function definitions
Call signatures; default values; return; def; pass
Perform Troubleshooting and Error Handling (5-10%)
Analyze, detect, and fix code segments that have errors
Syntax errors; logic errors; runtime errors
Analyze and construct code segments that handle exceptions
Try; except; else; finally; raise
Perform Operations Using Modules and Tools (1-5%)
Perform basic operations using built-in modules
Math; datetime; io; sys; os; os.path; random
Solve complex computing problems by using built-in modules
Math; datetime; random



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Microsoft Python study tips

VS Code Python tool Revamps Jupyter Notebooks journey | 98-381 Questions and Answers and Latest Topics

information

VS Code Python tool Revamps Jupyter Notebooks journey
  • with the aid of David Ramel
  • 08/09/2021
  • The August 2021 release of the Python Extension for visible Studio Code completes a revamp of the Jupyter Notebooks adventure that was all started greater than a yr ago.

    That experience is asserted to be quicker and greater characteristic-rich because of leveraging the Native Notebooks API with a view to enhance facts science coding.

    the trouble began in July 2020, when the dev crew for the Python extension for visual Studio Code announced the Native laptop project, promising these merits:

  • stronger integration between extensions in notebooks: developers can now use the same extensions for enhancing supply code or markdown textual content within the VS Code Editor from within notebooks "as an instance, you won't pass over your VIM key bindings or your stylishly colored brackets anymore."
  • more desirable load times: here is illustrated by way of an illustration computing device that builds and assesses the accuracy of an image attention model that differentiates between dog breeds consists of forty nine code cells, 18 markdown cells, and their outputs (~5MB). "The latest laptop editor takes about 7 seconds to open this laptop, however the new notebook editor takes below a second!"
  • New interface: This sports a clean look and suppose along with different UI alterations and telephone manipulation capabilities that suit VS Code's design language.
  • In a brand new post closing week about the August 2021 release of the extension, the team referred to the Native notebook adventure is out of preview, noting these advancements:

  • supply manage diffing: phone changes are actually less difficult to parse and to check out in the supply control view -- you also can customize what types of adjustments you want displayed.
  • Key-bindings: default VS Code shortcuts in addition to those provided through keymap extensions (e.g. VIM) are actually supported on notebook info.
  • excessive customization skill: customization of appearance or placement of most of the UI pc aspects -- you could examine all obtainable settings via opening the Settings UI (File > Preferences > Settings and seek "computer."
  • Jupyter Notebooks functionality was also greater by way of the VS Code dev group, which closing week announced a couple of enhancements to the open source-based, cross-platform code editor. For one component, the group moved some code from the dedicated Jupyter computer extension to an internal, built-in extension, so *ipynb data can now be opened with a clear, bare-bones VS Code setting up. youngsters, some functionality, like executing cells or view outputs that have complex renderer kinds, like ipywidgets, would require installing the Jupyter extension.

    The Python extension dev crew said the August 2021 free up became a "short release" because the tool's unencumber cadence changed into being adjusted to healthy that of VS Code. thus the most effective different characteristic of special note became improved sorting of Python interpreters.

    "previously, when working the 'Python: select Interpreter' command, the Python extension would monitor the checklist of all of the Python interpreters it may locate ordered alphabetically," Microsoft pointed out. "When there are many Python environments on a laptop, this regularly led to additional steps for interpreter choice that concerned browsing and a lot of scrolling. To make that system faster, they at the moment are showing the list of interpreters in a means so that the one you're surely to want to your mission indicates first on the listing and is more convenient to locate."

    extra on what's new for August 2021 may also be found in the changelog for the extension, which at greater than forty million installations is through a ways probably the most regularly occurring tool in the VS Code industry, method forward of No. 2 C/C++ with about 22 million downloads. The Jupyter extension is shut at the back of in third location at about 19.5 million installations, chatting with the colossal recognition of VS Code within the statistics science area.

    concerning the creator

    David Ramel is an editor and author for Converge360.


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