PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam Certified Professional salary

The estimated average salary of PCAP - Certified Associate in Python Programming (PCAP-31-02) professional is listed below:

• Europe: 70,000 EURO
• England: 70,600 POUND
• India: 20,40,000 INR
• United States: 120,000 USD

PCAP - Certified Associate in Python Programming (PCAP-31-02) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-02 exam. There are no official prerequisites for the exam but the applicants are recommended to have little prior knowlegde of any programming language, should have very basic knowledge of Mathematics and have attempted the PCAP-31-02 practice exams.

Reference: https://pythoninstitute.org/certification/pcap-certification-associate/

Topics of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

The syllabus for the PCAP - Certified Associate in Python Programming (PCAP-31-02) examination is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

• operators: unary and binary, priorities and binding
• basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
• formatting print() output with end= and sep= arguments
• conditional statements: if, if-else, if-elif, if-elif-else
• the pass instruction
• Boolean operators: not and or
• accuracy of floating-point numbers
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• numeric operators: * / % // + -
• bitwise operators: ~ & ^ | « »
• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• relational operators ( == != > >= < <= ), building complex Boolean expressions
• building loops: while, for, range(), in, iterating through sequences
• basic input and output: input(), print(), int(), float(), str() functions
• simple lists: constructing vectors, indexing and slicing, the len() function
• controlling loop execution: break, continue
• expanding loops: while-else, for-else, nesting loops and conditional statements
• assignments and shortcut operators
• string operators: * +

2. Data Aggregates (25%)

Objectives covered by this section:

• strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
• lists in lists: matrices and cubes
• lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning
• dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

• defining and invoking your own functions and generators
• import directives, qualifying entities with module names, initializing modules
• name scopes, name hiding (shadowing), the global keyword
• the if operator
• pyc file creation and usage
• constructing and distributing packages, packages vs. directories, the role of the init.py file
• writing and using modules, the name variable
• return and yield keywords, returning results, the None keyword, recursion
• map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
• lambda functions, defining and using
• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
• Python hashbangs, using multiline strings as module documentation
• hiding module entities
• converting generator objects into lists using the list() function

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

• input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
• the anatomy of an exception object
• introspection: dict, name, module, bases properties, examining class/object structure
• name mangling
• the role of the str method
• class methods: defining and using, the self parameter meaning and usage
• class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
• exceptions hierarchy, assigning more than one exception to one except branch
• using predefined exceptions and defining your own ones
• the try-except-else-finally block, the raise statement, the except-as variant
• hasattr(), type(), issubclass(), isinstance(), super() functions
• single inheritance vs. multiple inheritance
• inheritance and overriding, finding class/object components
• invoking methods, passing and using the self argument/parameter
• adding your own exceptions to an existing hierarchy
• read(), readinto(), readline(), write(), close() methods
• the init method
• defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
• writing and using constructors
• assertions