Python Programming course covers all the basics of programming in Python, as well as general computer programming concepts, techniques and the object-oriented approach. The main goal of the courses is to guide you from a state of complete programming illiteracy to a level of programming knowledge which allows you to design, write, debug, and run programs encoded in the Python language, and to understand the basic concepts of software development technology.

This course is distinguished by its affordability, friendliness, and openness to the student. It starts from the absolute basics, guiding the student step by step to complex problems, making her/him a responsible software creator able to take on different challenges in many positions in the IT industry.

Completing the courses can be a stepping-stone to learning any other programming language, and to explore technologies using Python as a foundation (e.g., Django).

 

WHY LEARN COMPUTER PROGRAMMING?

For several reasons:

  • To become a creator: a highly creative and powerful one. Go as far as your imagination lets you.
  • Strong programming skills are a hot commodity on the job market!
  • Boost your earning potential!
  • Programming is the language of the future.
  • Learning to program means learning to think in abstract and more precise ways.
  • It will help you do better in other areas!

PART I (Basics)

1. Introduction to Python and computer programming

The fundamentals of computer programming, i.e. how the computer works, how the program is executed, how the programming language is defined and constructed, what the difference is between compilation and interpretation, what Python is, how it is positioned among other programming languages, and what distinguishes the different versions of Python;

2. Data types, variables, basic input-output operations, basic operators

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; the concept of variables and variable naming conventions; the assignment operator, the rules governing the building of expressions; the inputting and converting of data;

3. Boolean values, conditional execution, loops, lists, logical and bitwise operations

Boolean values to compare difference values and control the execution paths using the if and if-else instructions; the utilization of loops (while and for) and how to control their behavior using the break and continue instructions; the difference between logical and bitwise operations; the concept of lists and list processing, including the iteration provided by the for loop, and slicing; the idea of multi-dimensional arrays;

4. Functions, tuples, dictionaries, and data processing

The defining and using of functions – their rationale, purpose, conventions, and traps; the concept of passing arguments in different ways and setting their default values, along with the mechanisms of returning the function’s results; name scope issues; new data aggregates: tuples and dictionaries, and their role in data processing.

 

PART II (Intermediate)

1. Modules, packages, and PIP

Importing and using Python modules; using some of the most useful Python standard library modules; constructing and using Python packages; PIP (Python Installation Package) and how to use it to install and uninstall ready-to-use packages from PyPI.

2. Strings, String and List Methods, Exceptions

Characters, strings and coding standards; Strings vs. lists – similarities and differences; Lists methods; String methods; Python’s way of handling runtime errors; Controlling the flow of errors using try and except; Hierarchy of exceptions.

3. Object-Oriented Programming

Basic concepts of object-oriented programming (OOP); The differences between the procedural and object approaches (motivations and profits); Classes, objects, properties, and methods; Designing reusable classes and creating objects; Inheritance and polymorphism; Exceptions as objects.

4. Miscellaneous

Generators, iterators and closures; Working with file-system, directory tree and files; Selected Python Standard Library modules (os, datetime, time, and calendar.)

The curriculum is designed for anyone and everyone who wants to learn Python and modern programming techniques.

The Python Essentials course series has been designed specifically for students with little or no prior knowledge of programming, especially:

  • students of secondary schools,
  • university students,
  • students of vocational schools,
  • aspiring programmers and anyone interested in learning programming.

 

PREREQUISITES

None

TARGET CERTIFICATION

Python Essentials – Part 1 (PE1) is aligned with PCEP certification:

 

Python Essentials – Part 2 (PE2) is aligned with PCAP certification:

 

CAREERS

PCAP: Programming Essentials in Python develops foundational knowledge and programming skills necessary for web development, data analysis, IoT and more. Career pathways include: application development, business analytics, IoT data analyst, software development.

DateDurationLocation
11th Oct - 22th Oct 20212 weeksOnline
15th Nov - 26th Nov 20212 weeksOnline
10th Jan - 21st Jan 20222 weeksOnline
14th Feb - 25th Feb 20222 weeksOnline

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