What You Will Learn!
- Learn how to share / re-use code
- Learn how to gather user input
- Learn how to detect and recover from errors
- Understand how to create classes & class variables
- Learn how to create your own classes
- Understand class initialization
- Learn how to locate protected member-functions in other modules
- Use built-in functions to explore imported information
- Discover how to list loaded modules
- Discover 'invisible' package initialization
- Learn how to avoid name collision in Python
- Discover how to define & modify global and local variables
- Learn how to access parent-member values & variables
- Review the entire set of data-formatting operations
- Learn how to anticipate dictionary ordering
- Discover how to create & user a custom sort routine
- Discover how using .format() is more flexible & forgiving than classic formatting operations
- Learn how to use the sorted() built-in
- Learn the difference between “isa” and “hasa”
- Understand how Generators support distinct enumerations
- Review the difference between Python's "Metaclasses," and the classes we create
- Learn how to detect & manage critical class, as well as meta-class, relationships
Description
Layered Learning
Never a "one size fits all" approach, our training opportunities are divided into beginner (1000), intermediate (2000), and advanced (3000 - 9000) experience levels. Rather than learning things you might not need to know, you can choose the topics that you are most interested in. Written by a Principal Trainer & Principal Software Development Engineer, in order to insure mastery key topics are presented several times, as well as at ever-increasing depth. No practice, no glory?
Python Programmers Welcome!
Python 2000 is designed for students with a basic understanding of Python. In Python 2000: Beyond the Basics students will focus upon using Python for creating classes, managing packages & paths, creating frameworks, as well as exploring more advanced & modern topics in Python.
Beyond Functional
Students will complete keyword mastery by exploring a large collection of activity-related topics. Students will enjoy learning how to create Lambdas, Generators, Context Managers, Packages & Modules, Classes, Factories, Frameworks, how to manage Exceptions, as well as other professional programming topics.
Training Approach
I have divided all my training into step-by-step modules. Numbered from 1000 to 9000, the numbering system allows us to skip things that we already know to focus upon the things that we do not.
After completing Python 2000 you are ready to next explore a large collection of activity-related topics. Numbered from 3000 - 9000 rather than learning things you might not need to know, you can choose the topics that you are most interested in.
If you are new to programming, then you’ll want to enjoy my free Python Primer.
Who Should Attend!
- Students must have completed Python 1000, or have an equivalent background in Python 3.
