
Welcome to the course, the resources can be found on my github repositry.
https://github.com/r3ap3rpy/PCEP
Happy learning.
Objectives covered by the block (5 exam items)
fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
literals: Boolean, integer, floating-point numbers, scientific notation, strings
comments
the print() function
the input() function
numeral systems (binary, octal, decimal, hexadecimal)
numeric operators: ** * / % // + –
string operators: * +
assignments and shortcut operators
Objectives covered by the block (6 exam items)
operators: unary and binary, priorities and binding
bitwise operators: ~ & ^ | << >>
Boolean operators: not and or
Boolean expressions
relational operators ( == != > >= < <= ), building complex Boolean expressions
accuracy of floating-point numbers
basic input and output operations using the input(), print(), int(), float(), str(), len() functions
formatting print() output with end= and sep= arguments
type casting
basic calculations
simple strings: constructing, assigning, indexing, slicing comparing, immutability
Objectives covered by the block (6 exam items)
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
Objectives covered by the block (7 exam items)
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, initializing, 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: 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
Objectives covered by the block (6 exam items)
defining and invoking your own functions and generators
return and yield keywords, returning results,
the 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
Welcome,
PCEP – Certified Entry-Level Python Programmer certification is a professional credential that measures your ability to accomplish coding tasks related to the essentials of programming in the Python language. A test candidate should demonstrate sufficient knowledge of the universal concepts of computer programming, the syntax and semantics of the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.
Becoming PCEP certified ensures that the individual is acquainted with the most essential means provided by Python 3 to enable her/him to start their own studies at an intermediate level and to continue their professional development.
This course will give you an overview as to what knowledge is needed to become a certified python developer. We will start from the fundations as to why python, where did it come from and where is it going currently. Then later on build on more advanced topics. We will learn the basic datastructure and variable types available in python, then move to build more complex applications. This course is supported by a git repository aswell which you can use to reproduce the examples and accelerate your learning. At the end of the course will will take a look at live examples from the exam and get you a good grasp as to what is expected to pass the exam.
Happy Coding!