Download: Python Certification Exam Preparation by Rajesh Reddy
Python Certification Exam Preparation is the course offered by udemy for all those who want to know more about this topic.
Topic wise Tests & Grand Tests: 200 Realistic Questions With Clear Explanation for Python Certification-Be a Lead
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The course professor Rajesh Reddy
The Python Certification Exam Preparation course is taught by Rajesh Reddy. For those who do not know, this author is one of the best trained on this subject. He has lectured many times, taught at major institutes, and enjoys a high reputation from his colleagues.
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Description about Python Certification Exam Preparation
These practice tests will cover the following syllabus. Exam Pattern: Number of Questions : 40 Duration : 60 Minutes Questions Type: Multiple Choice, Drag and Drop and Selection from drop down list Syllabus: 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
Score according to professionals: 4.7