Practice Python Mega pack-500+ exercises,Interview Q&A ,etc.

A “Practice Python” course is likely designed to provide hands-on experience and practical exercises to learners who want to enhance their Python programming skills.

The Practice Python course is designed for aspiring developers who want to strengthen their foundation in Python through practical, real-world exercises.

Even if you have zero programming experience, this course will take you from beginner to professional

Microsoft Python certification Exam (98-381) description:

Exam Pattern:

Number of Questions : 40 Duration : 45 Minutes

Questions Type: Multiple Choice, Drag and Drop and Selection from drop down list

Syllabus:

1) Perform Operations using Data Types and Operators (20-25%)

Evaluate an expression to identify the data type Python will assign to each variable

· Identify st, 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)

2) 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

3) 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

4) 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

5) 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

6) 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

By the end of this course, you will have honed your Python programming skills, gained practical experience through projects, and built a portfolio of work that demonstrates your proficiency. Whether you’re looking to advance your career or simply want to become a more confident Python programmer, the Practice Python course is your gateway to success.