This document outlines the syllabus for a Python certification preparation course. The course will cover universal programming concepts, the Python syntax and semantics, practical skills for implementing solutions, key elements of the Python standard library, and how to design, write, test and debug Python programs. It will introduce Python and cover topics like data types, I/O, loops, functions, tuples, dictionaries and data processing. The goal is to prepare students for several levels of Python certification.

1. Welcome to Python Certification
Preparation

2. Course Syllabus
01. the universal concepts of computer
programming;
02. the syntax and semantics of the Python
language;
03. practical skills in resolving typical
implementation challenges;
04. how to use the most important elements of
the Python Standard Library;
05. how to install your runtime environment;
06.
how to design, write, test, and debug your
own Python programs.

3. Content
Introduction Python
01
Basic Concepts
02
Data types, variables, basic I/O operations
03
Loops and conditional blocks
04
Functions, tuples, dictionaries, and data processing
05
Preparation for your certification
06

4. Welcome
Get PCEP certified
PCEP
Certified Entry-Level
Python Programmer
certification
PCEP
Certified Associate in
Python Programmer
certification
PCEP
Certified Professional in
Python Programming 1
certification
PCEP
Certified Professional in
Python Programming 2
certification

5. Welcome
Why should you learn PYTHON?
• Unlimited opportunities for code reuse and learning from well-
crafted examples;
• A large and very active Python community;
• Easy to learn;
• Easy to use for writing new software;
• Easy to obtain, install and deploy;

6. Welcome
Where do you use Python?
• For creating open-source, free games
• Internet Applications
• 3D CAD/CAM
• Enterprise Applications
• Image Applications
• Mobile Applications
• Office Applications
• Personal Information Managers

7. Welcome
Python is a great choice for:
● Web and Internet development (e.g., Django and Pyramid
frameworks, Flask and Bottle micro-frameworks)
● Scientific and numeric computing (e.g., SciPy; Ipython)
● Education
● Desktop GUIs
● Software Development
● Business applications (ERP, Odoo, Tryton)