Learning PythonPCEP Python preparation and certification
The PCEP Python MDT video course is an ideal choice for those who want to learn Python from scratch. This video course specifically prepares you for the Certified Entry-Level Python Programmer Certification Exam provided by the Python Institute. To purchase access to the course, click on the link below and take advantage of our special price of $19.
To give you an idea of the course syllabus, the following are the main topics covered:
Firstly, the fundamentals of computer programming are covered, including how the computer works, how the program is executed, and how the programming language is defined and constructed. Furthermore, the course covers what distinguishes Python from other programming languages and what distinguishes the different versions of Python.
Moreover, the course covers the basic methods of formatting and outputting data offered by Python, together with the primary kinds of data and numerical operators, their mutual relations and bindings. It also covers the concept of variables and variable naming conventions, the assignment operator, and the rules governing the building of expressions.
The course covers Boolean values to compare different values and control the execution paths using the if and if-else instructions. It also covers the utilization of loops (while and for) and how to control their behavior using the break and continue instructions. The course further explores the difference between logical and bitwise operations and the concept of lists and list processing, including the iteration provided by the for loop, and slicing. The idea of multi-dimensional arrays is also covered.
Furthermore, the course covers the defining and using of functions, including their rationale, purpose, conventions, and traps. It also covers the concept of passing arguments in different ways and setting their default values, along with the mechanisms of returning the function’s results. The course also covers name scope issues and new data aggregates, such as tuples and dictionaries, and their role in data processing.