Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

PCAP - Certified Python Programming Associate (PCAP-31-03) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.

PCAP - Certified Associate in Python Programming (PCAP-31-03) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, the syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.

Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your studies and open a path to the career of the developer.

PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.

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

In order to survive better in society, we must understand the requirements of society for us. In addition to theoretical knowledge, we need more practical skills. After we use PCAP-31-03 practice guide, we can get the certification faster, which will greatly improve our competitiveness. Of course, your gain is definitely not just a certificate. Our study materials will change your working style and lifestyle. You will work more efficiently than others. PCAP-31-03 training materials: Certified Associate in Python Programming can play such a big role. What advantages does it have? You can spend a few minutes looking at the following introduction.

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How much PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Cost

The full fee for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is USD 295. This fee includes a free exam retake as well. However, students can be eligible for discounts. Students who take the online learning course from Python Institute will be eligible for a 50% discount, making the exam fee USD 147.5. Students who take the instructor-led course from Cisco Networking Academy will be eligible for a 51% discount, making the exam fee USD 144.55. For more information related to exam price, please visit Python Institute Exam Fees

Topics of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

The syllabus for the PCAP-31-03 exam dumps 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
• accuracy of floating-point numbers
• assignments and shortcut operators
• relational operators (== != > >= < <= ), building complex Boolean expressions
• string operators: * +
• numeric operators: * / % // + -
• basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
• basic input and output: input(), print(), int(), float(), str() functions
• building loops: while, for, range(), in, iterating through sequences
• formatting print() output with end= and sep= arguments
• bitwise operators: ~ & ^ | « »
• Boolean operators: not and or
• the pass instruction
• simple lists: constructing vectors, indexing, and slicing, the len() function
• expanding loops: while-else, for-else, nesting loops, and conditional statements
• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• controlling loop execution: break, continue
• conditional statements: if, if-else, if-elif, if-elif-else

2. Data Aggregates (25%)

Objectives covered by this section:

• 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: indexing, slicing, building, immutability
• 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
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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