Brief Introduction
Functions, Builtins, and Object TypesDescription
Layered Learning
Why spend dozens of hours earning a single certificate?
Rather than feeling overwhelmed, our learning opportunities gradually gifts students with many printable & sharable certificates. Resume-worthy achievements to testify to your step-by-step mastery of Python.
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, students can choose the topics that they are most interested in.
Students who have never written software before should consider first completing Python 1000 - The Python Primer, before completing Python 1100.
Python 1000?
In the Python 1000 programming series, students will learn how to apply fundamental keywords and built-in functions so as to design, create, & test programs. Common collection types, internationalization, and low-level binary / robotics concepts are also covered.
Students will learn how to avoid pitfalls & problems with Python 3 syntax, as well.
Beginners Welcome!
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. Students will also be using professional programming interfaces - the same tools that software developers use - to create their software.
From keywords & tabs, to testing & documentation, hints & tips on how to use Python in the professional world abound!
After completing the Python 1000 series, in the Python 2000 series students will complete keyword mastery by exploring a large collection of activity-related topics. Sold separately, in the 2000 series 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.
Requirements
- Requirements
- Basic programming experience is required.
- Students should understand how to download & install programs from the Internet.
Knowledge
- Discover the differences between Python versions.
- Use Modern Python to design, create, & test your software.
- Use Python on Windows, OS X, and POSIX / Linux.
- Understand why professionals use Flowcharts.
- Create programs to collect, sort & process data.
- Master Python's testing, conditional, and looping keywords.
- Use Python's most common built-in functions.
- Understand the difference between "zero based" and "ones based" operations.
- Understand Python's dynamic type-identification subsystem.
- Enjoy a series of incremental, real-world activities to create eye-catching banners.
- Learn why the system path is important, and how to automaticall load Python code.
- Learn how to “speak Python” by reviewing community concepts & tool names.
- Discover when NOT to use boolean testing on iteratibale and / or integral types.
- Discover how to correctly test instance identity, as well as equality.
- Discover how to integrate your software creations into the Python documentation landscape.
- Understand what "Edge Testing " involves.
- Learn what "Regression Testing" is by creating & enforcing your own testing strategy.
- Use Python's official testing module to keep your R&D on-track.
Randall Nagy
3.3 Raiting
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