The advantages surpassing others

The benefit of obtaining the PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam Certification

• Certified Python Programming Certifications Associate offers opportunities to quickly get a job in which they are interested rather than wasting years and finishing without any experience.
• There are more useful and appropriate networks for the PCAP-31-02 Exam that help them set career goals for themselves. Certified Associate in Python programming networks provides them with the right career path than they are typically unable to get without qualification.
• The Certified Associate in Python Programming knows how to use the software to accomplish the job efficiently and cost-effectively than other non-certified professionals do not.
• Certified Associate in Python Programming Qualification provides applicants with practical experience in all facets of becoming a professional worker in the company.
• Among competitors, Certified Associate in Python Programming is distinct. At that time, Certified Associate in Python Programming qualification will easily give them an advantage when applicants appear for a job interview employers want to inform something that distinguishes the individual from another.
• As their skills are more trained than non-certified professionals, Certified Associate in Python Programming would be assured and stand separate from others.

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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