Schedule Introduction


Training Schedule


(4264) Next-Level Python Programming (with Advanced Python Topics)

Code: 4264 v08-05-21
Tuition (USD): $2495
Length: 4Days

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Location: Date Guaranteed to Run:
Live Virtual, US 09/12/2022
Live Virtual, US 10/31/2022
Live Virtual, US 12/05/2022

Not finding any suitable dates? Contact us for additional availability:

Skills Gained:
Join an engaging hands-on learning environment, where you’ll learn: Leveraging OS services Enhancements to classes Code graphical interfaces for applications Advanced Python metaprogramming concepts Easy-to-use and easy-to-maintain modules and packages Implementing and run unit tests Creating multithreaded and multi-process applications Interacting with network services Designing professional scripts Querying databases Processing XML, CSV, and JSON data This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
Who Should Attend?
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.
  • Before attending this course, you should have:
  • Experience writing Python scripts
  • Working knowledge of Unix/Linux, Mac, or Windows
  • (4267) Introduction to Python | Python Programming Basics
  • (4263) Mastering Python Programming
What You Will Learn:
  • Python 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
  • Built-in 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 Info:
This class explores advanced Python topics and skills with a focus on enterprise development. You’ll learn how to leverage OS services, code graphical application interfaces, create modules and run unit tests, define classes, interact with network series, query databases, and processes XML data. This comprehensive course provides an in-depth exploration of working with the programming language for enterprise development. At the conclusion, you will be able to use Python to complete advanced tasks in the real world.

Follow-On Courses:

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Attend from your PC, Mac or any iOS/Android tablet or smartphone. Connect with the class through your device audio or via toll-free phone number†, depending on available technologies and your interaction preferences.
Learn advanced Python skills for enterprise development.