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Advanced Python Programming


4 Days Classroom Session   |  
4 Days Live Online
Classroom Registration
Individual:
$2495.00
Group Rate:
$2395.00
(per registrant, 2 or more)
GSA Individual:
$2100.00
Live Online Registration
Live Online:
$2495.00
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

Request a Private Onsite Price Quote

Professional Credits

IIBA (CDU)

ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.

PMI (PDU)

Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.

Certification
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. 

This course is about 50% hands-on lab to 50% lecture ratio, combining engaging, informed instructor presentations, demonstrations and discussions with extensive machine-based student labs and practical project work.

Working within an engaging, hands-on learning environment, guided by our expert team, attendees will learn 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
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Oct 13, 2020 – Oct 16, 2020    10:00am – 6:00pm Live Online Register
Nov 16, 2020 – Nov 19, 2020    10:00am – 6:00pm Live Online Register
Dec 14, 2020 – Dec 17, 2020    10:00am – 6:00pm Live Online Register
Course Outline

Part 1: Python refresher

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

Part 2: 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

Part 3: Dates and Times

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

Part 4: Binary Data

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

Part 5: Pythonic Programming

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

Part 6: 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

Part 7: Intermediate classes

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

Part 8: Metaprogramming

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

Part 9: Developer Tools

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

Part 10: Unit testing with PyTest

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

Part 11: 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

Part 12: PyQt

  • Overview
  • Qt Architecture
  • Using designer
  • Standard widgets
  • Event handling
  • Extras

Part 13: Network Programming

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

Part 14: Multiprogramming

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

Part 15: Scripting for System Administration

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

Part 16: 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

Part 17: Advanced data handling

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

Part 18: 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

Appendix A: Bibliography

Appendix B: Python virtual environments

Who should attend

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

Pre-Requisites

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.

We recommend taking Introduction to Python | Python Programming Basics before taking this course.

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