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How to study the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

Preparation and study materials for the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam is provided by several online platforms including the Python Institute for free. Interested candidates can simply search online with the name of the exam and can find learning materials or take the highly recommended PCAP-31-03 practice exams. To use the material provided by Python Institute, sign up for PCAP - Certified Associate in Python Programming (PCAP-31-03) course to immerse yourself in programming and to learn Python from scratch. Their course will train you for jobs and professions related to the widely known development of the software, which involves not only developing the code itself as a junior developer, but also designing computer systems and testing software.

Completing this course can be a step-stone for learning some other language of programming and exploring technologies that use Python as a basis (e.g., Django). This introductory course is characterized by its student affordability, friendliness, and transparency. It all starts from the absolute basics, leading you to complex problems step by step, making you a responsible software developer capable of taking on numerous challenges in many IT industry positions. Refer to the links at the end of this document for more information on study materials.

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

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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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