PTN-105 Python Programming - Detailed Course Outline

Course Length

5 days

Course Overview

Python is a general-purpose and popular programming language. It's concise and easy to read.

Why Python?

It's easy to learn – the time needed to learn Python is shorter than for many other languages
It's easy to use for writing new software – it's often possible to write code faster
It's easy to understand – it's also often easier to understand someone else's code faster
It's easy to obtain, install and deploy

Course Objectives

By the end of this course, learners will be able to write, debug, and structure robust Python applications using core language features, standard libraries, and best practices, from basic scripting to advanced control flow and object-oriented design. They will gain practical experience with testing, logging, concurrency, data processing, databases, GUIs, and web frameworks, enabling them to build maintainable, real-world Python applications.

Prerequisites

Basic Linux/UNIX and programming skills.

Delivery Method

Instructor-led training (ILT)

Course Modules

Module 1: Introduction

Why python?
Executing Python Code
Implications of PVM
Execution model variations
PyPy, Jython, IronPython, frozen binaries
Running python scripts
Python CLI features
Very basic control structures
if/elif/else
while/else
try/except/finally
Function syntax
vargs,key-value arguments
function defaults
type enforcements for functions
Scopes, the LEGB rule
Debugging python scripts
pudb, ipdb
Modules/packages
Python search path for modules
Creating simple modules
Creating packages

Module 2: Basic types

Basic types: numeric
int, float, complex
python3 changes on number arithmetic
Basic types: strings
String vs, Unicode (python2)
ByteString vs. String (python3)
Raw strings
Printing formatted output
Dealing with user input
String type
String manipulation functions
StringIO
The unicodedata module
Lab 1: Simple scripts

Module 3: Sequence types

Sequence types
Mutables vs. Inmutables
Working with list, array, bytearray
Slice operator
Interable objects, iterator
List/sequence functions
Manipulation elemens (append,extend, pop)
Sorting
The range/xrange function
The dictionary type
Restrictions
Getting keys/values/items
Dictionary iterators
defaultdict, Counter
Using set/frozenset type
Set type features
Set operations
Other sequence types/functions
Basic aggregations: min, max, sum
The filter function
The map function
The reduce function
The collections module
The itertools module
Differences: python2 vs. python3

Module 4: I/O operations

Basic file operations
open, io.open, codecs.open
iterating file objects
fileinput module
Path operations
os module functions
os.path
os.listdir
os.walk
glob module functions
glob.glob
glob.iglob
Communicate with external processes
limitations of os.call, os.popen*
subprocess module
call
Popen
Parsing command line arguments
getopt module
argparse module

Module 5: Additional control structures

context manager and with/as
comprehensions
list comprehensions
dictionary comprehensions
generator comprehensions
embedded comprehensions
creating generator functions
Lab 2: Scripts with sequence types

Module 6: Regular expressions in Python

Regular expression elements
character ranges
multipliers
anchors
re module functions
match vs search
findall vs finditer
split
sub
compile
Use cases for flags
single vs multi-line match
unicode character ranges
compile vs flags
Additional features in regular expressions
Back-referencing
back-referencing in match
back-referencing in sub
Capture groups
referencing groups
named groups
embedded groups
Greediness
Lab 3: Regular expressions

Module 7: Python development tools

Document your code
Creating docstrings
Using Python doc framework Sphinx
Testing frameworks
The importance of testing in Python
Doctest
Unittest
unittest + mock
nose
Logging in python
module logging
logging configuration format
Parallel processing
threading module
multiprocessing module

Module 8: Advanced topics

Decorator
simple decorators
decorators with arguments
python built-in function/class decorators
Performance tips

Module 9: Object oriented programming in Python

OOP basics
Compare OO features of Python and Java/C++
python2 vs python3 classes
new-style vs old-style classes
__slots__
Member functions
Contructors
Destructors
Writing member functions
Member attributes
General implementation of instance attributes
Class static attributes
Getter/setter methods
Access control solutions
the property class
the descriptor model
Operators
operator related functions
__str__ vs __repr__
__call__
Class/function decorators
@staticmethod, @classmethod
@abstractmethod, @abstractproperty
@total ordering
Python class template
inheritance
abstract template classes
metaclass
Lab 4: Python OO

Module 10: Python Database API

Connecting to DB API compliant Relational Database Management Systems
Creating and populating tables
Retrieving data records
Executing parametrized queries
Exporting and importing table data with Postgresql

Module 11: Creating graphical user interfaces using Python/Tkinter

Tkinter widgets and their standard attributes
Dimensions
Colors
Fonts
Anchors
Relief styles
Bitmaps
Cursors
Organizing widgets in the parent widget area
Using pack
Using grid
Using place

Module 12: Introduction to the Python Django WEB application framework

Architecture
Creating a Hello world project
Managing settings
URL patterns
Lab 5: Using frameworks

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PTN-105

Python Programming