Course Details:
Advanced Python Programming

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Course Overview:

Advanced Python Programming is a practical, hands-on Python training course that thoroughly explores intermediate to advanced level topics and skills, with a focus on enterprise development. Throughout the course, students will learn how to Leverage OS services, Code graphical interfaces for applications, create modules and run unit tests, define classes, interact with network services, query databases, process XML data, and much more. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.

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Course Description:

Audience profile
This in an intermediate and beyond level Python course geared for students experienced with Python who want to use Python in web development projects or automate or simplify common tasks with the use of Python scripts. Basic incoming practical experience working with Python is required, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. This course does not cover Python fundamentals.

At course completion
After completing this course, students will be able to:

Leverage OS services
Add enhancements to classes
Code graphical interfaces for applications
Understand advanced Python metaprogramming concepts
Create easy-to-use and easy-to-maintain modules and packages
Implement and run unit tests
Create multithreaded and multi-process applications
Interact with network services
Design professional scripts
Query databases
Process XML, CSV, and JSON data
Working with more data types if time permits
Using type hints if time permits

Course Outline

Python Quick Refresher

Builtin data types
Lists and tuples
Dictionaries and sets
Program structure
Files and console I/O
If statement
for and while loops

OS Services

The os and os.path modules
Environment variables
Launching external commands with subprocess
Walking directory trees
Paths, directories, and filenames
Working with file systems

Dates and Times

Basic date and time classes
Different time formats
Converting between formats
Formatting dates and times
Parsing date/time information

Binary Data

What is Binary Data?
Binary vs text
Using the Struct module

Pythonic Programming

The Zen of Python
Tuples
Advanced unpacking
Sorting
Lambda functions
List comprehensions
Generator expressions
String formatting

Functions, modules, and packages

Four types of function parameters
Four levels of name scoping
Single/multi dispatch
Relative imports
Using __init__ effectively
Documentation best practices

Intermediate classes

Class/static data and methods
Inheritance (or composition)
Abstract base classes
Implementing protocols (context, iterator, etc.) with special methods

Metaprogramming

Implicit properties
globals() and locals()
Working with object attributes
The inspect module
Callable classes
Decorators
Monkey patching

Developer Tools

Analyzing programs with pylint
Using the debugger
Profiling code
Testing speed with benchmarking

Unit testing with PyTest

What is a unit test?
Writing tests
Working with fixtures
Test runners
Mocking resources

Database access

The DB API
Available Interfaces
Connecting to a server
Creating and executing a cursor
Fetching data
Parameterized statements
Using Metadata
Transaction control
ORMs and NoSQL overview

PyQt

Overview
Qt Architecture
Using designer
Standard widgets
Event handling
Extras

Network Programming

Builtin classes
Using requests
Grabbing web pages
Sending email
Working with binary data
Consuming RESTful services
Remote access (SSH)

Multiprogramming

The threading module
Sharing variables
The queue module
The multiprocessing module
Creating pools
About async programming

Scripting for System Administration

Running external programs
Parsing arguments
Creating filters to read text files
Logging

Serializing data – XML and JSON

Working with XML
XML modules in Python
Getting started with ElementTree
Parsing XML
Updating an XML tree
Creating a new document
About JSON
Reading JSON
Writing JSON
Reading/writing CSV files
YAML, other formats as time permits

Time Permitting Sessions

Advanced data handling

Discover the collections module
Use defaultdict, Counter, and namedtuple
Create dataclasses
Store data offline with pickle

Type hinting

Annotate variables
Learn what type hinting does NOT do
Use the typing module for detailed type hints
Understand union and optional types
Write stub interfaces

Course Title

Advanced Python Programming

Course Number

TTPS4850

Course Outline

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Duration

4 days

Price

$2395.00

Course Details:Advanced Python Programming

Course Overview:

Course Description:

Course Details:
Advanced Python Programming