PCAP™ - Python Developer Certification Training in Oman
Globally recognised training program
35 hours of Instructor-led training
11-course modules designed by industry experts
Flexible learning options for individual & groups
Prepare for the PCAP™ exam with confidence
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4.9/56349 EnrolledEnrolled Learners
Overview
What our training includes
- Prepares participants to pass the Certified Associate in Python Programming (PCAP™) exam
- Develops hands-on programming skills through practical case studies and real-world applications
- Provides in-depth knowledge of Python concepts, including data types, functions, and object-oriented programming
- Equips learners with the tools to work with libraries like NumPy and Pandas for data manipulation
- Guides participants to pursue roles as Python developers and programmers in the tech industry
- Enhances career prospects with a certification recognized by leading global companies
Upcoming sessions
Curriculum
- •Fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
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Literals: Boolean, integer, floating-point numbers, scientific notation, strings
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Comments
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The print() function
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The input() function
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Numeral systems (binary, octal, decimal, hexadecimal)
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Numeric operators: ** * / % // + –
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String operators: * +
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Assignments and shortcut operator
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- •Objectives covered by the block (6 exam items)
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Operators: unary and binary, priorities and binding
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Bitwise operators: ~ & ^ | << >>
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Boolean operators: not and or
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Boolean expressions
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Relational operators ( == != > >= < <= ), building complex Boolean expressions
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Accuracy of floating-point numbers
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Basic input and output operations using the input(), print(), int(), float(), str(), len() functions
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Formatting print() output with end= and sep= arguments
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Typecasting
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Basic calculations
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Simple strings: constructing, assigning, indexing, immutability
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- •Conditional statements: if, if-else, if-elif, if-elif-else
- •Multiple conditional statements
- •The pass instruction
- •Building loops: while, for, range(), in
- •Iterating through sequences
- •Expanding loops: while-else, for-else
- •Nesting loops and conditional statements
- •Controlling loop execution: break, continue
- •Simple lists: constructing vectors, indexing and slicing, the len() function
- •Lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initialising, in and not in operators, list comprehension, copying and cloning
- •Lists in lists: matrices and cubes
- •Tuples: indexing, slicing, building, immutability
- •Tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
- •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
- •Strings in detail: escaping using the \ character, quotes and apostrophes inside strings, multi-line strings, and basic string functions
- •Defining and invoking your own functions and generators
- •Return and Yield keywords
- •Returning results
- •None keyword
- •Recursion
- •Parameters vs. arguments
- •Positional keyword and mixed argument passing
- •Default parameter values
- •Converting generator objects into lists using the list() function
- •Name scopes, name hiding (shadowing), the global keyword
- •Import variants; advanced qualifying for nested modules
- •Dir(); sys. path variable
- •Math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample()
- •Platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
- •Idea, __pycache__, __name__, public variables, __init__.py
- •Searching for modules/packages; nested packages vs directory tree
- •Except, except:-except; except:-else:, except (e1,e2)
- •The hierarchy of exceptions
- •Raise, raise ex, assert
- •Event classes, except E as e, arg property
- •Self-defined exceptions, defining and using
- •ASCII, UNICODE, UTF-8, codepoints, escape sequences
- •Ord(), chr(), literals
- •Indexing, slicing, immutability
- •Iterating through,
- •Concatenating, multiplying, comparing (against strings and numbers)
- •In, not in
- •.isxxx(), .join(), .split()
- •.sort(), sorted(), .index(), .find(), .rfind()
- •Instance vs class variables: declaring, initialising
- •__dict__ property (objects vs classes)
- •Private components (instance vs classes)
- •Name mangling
- •Methods: declaring, using, self parameter
- •Introspection: hasattr() (objects vs classes), __name__, __module__, __bases__ properties
- •Inheritance: single, multiple, isinstance(), overriding, not is and is operators
- •Inheritance: single, multiple, isinstance(), overriding, not is and is operators
- •Constructors: declaring and invoking
- •Polymorphism
- •__name__, __module__, __bases__ properties, __str__() method
- •Multiple inheritance, diamonds
- •List comprehension: if operator, using list comprehensions
- •Lambdas: defining and using lambdas, self-defined functions taking lambda as arguments; map(), filter();
- •Closures: meaning, defining, and using closures
- •I/O Operations: I/O modes, predefined streams, handles; text/binary modes
- •open(), errno and its values; close()
- •.read(), .write(), .readline(); readlines() (along with byte array())
- •Defining your own 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
- •Class methods: defining and using, the self-parameter meaning and usage
- •Inheritance and overriding, finding class/object components
- •Single inheritance vs. multiple inheritances
- •Name mangling
- •Invoking methods, passing and using the self argument/parameter
- •The __init__ method
- •The role of the __str__ method
- •Introspection: __dict__, __name__, __module__, __bases__ properties, examining class/object structure
- •Writing and using constructors
- •Hasattr(), type(), issubclass(), isinstance(), super() functions
- •Using predefined exceptions and defining your own ones
- •The try-except-else-finally block, the raise statement, the except-as variant
- •Exceptions hierarchy, assigning more than one exception to one except branch
- •Adding your own exceptions to an existing hierarchy
- •Assertions
- •The anatomy of an exception object
- •Input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
- •Read(), readinto(), readline(), write(), close() methods
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After the course, you will be skilled in
1
Understand interpreting vs. compiling, lexis, syntax, semantics, and basic I/O operations
2
Master numeric and string operations, Boolean expressions, typecasting, and basic I/O
3
Learn to implement conditional statements, loops, and control flow structures like break and continue
4
Work with lists, tuples, and dictionaries, and gain skills in list comprehension and string manipulation
5
Handle parameters, recursion, define functions, manage scopes, and convert generators to lists
6
Utilize built-in modules and navigate module paths to enhance programming practices
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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Frequently asked questions
The PCAP™ - Python Developer Certification Training in Oman is all about teaching professionals Python programming. You learn about data types, strings, and collections. The program also covers advanced topics like object-oriented programming, libraries (NumPy, Pandas), and frameworks (Django, Flask). The course further prepares professionals for the PCAP Certification exam.
After Python Developer Certification Training in Oman, you can pursue roles like Data Scientist, Software Engineer, AI/ML Researcher, and DevOps Engineer, all of which are in high demand in Oman’s tech industry.
Our course is designed to keep you updated with the latest trends in Python programming, preparing you for roles in rapidly advancing fields like AI, cloud computing, and data science, which are growing sectors in Oman’s job market.
You will learn the basics of Python, control flow, data handling, functions, modules, exceptions, object-oriented programming, and more through practical exercises and case studies.
Our course combines in-depth theoretical knowledge with practical, real-world applications. We offer career guidance and personalized learning experiences.
Python forms the foundation of data science. The course introduces professionals to libraries like NumPy and Pandas that are widely used in handling and analysing data. This creates a good base to learn more about advanced topics like machine learning and artificial intelligence.
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