
Introduction: Presentation Strategy & Lesson Review
Discover how to avoid "IDE Fever" by reviewing how the Operating System finds Python, the "Python Path," as well as how to run Python scripts from the command line.
Another common interview question, this lesson will help you be prepared to discuss what is commonly meant when we say "module" or "script" in Python.
Review how to document a live Module, as well as the Module at-rest. Discover how to use help() so as to review what we have defined in our active programming sessions.
Demonstrate Python mastery by creating ranges, as well as enumerating through collections by understanding the three forms of each.
Slicing questions are becoming popular. This lesson will review slicing concepts so as to help you answer the type of slicing questions that are almost sure to be asked of every Python software developer.
Like it or not, formatting data is simply part of what every professional Python software developer must do. The king of know-how, start your data-formatting review by mastering how to print the most know-how worthy format requested from this-man's interview list: Money!
Everyone should understand this concept, but some do not. Be prepared!
Python's greatest strength is also it's greatest weakness: Be prepared to discuss why testing every execution point in a Python application is more important than in any other popular programming language.
There is allot of confusion over the way Python shares Objects. Demonstrate your mastery of Python by telling everyone how Python accomplishes much the same things as passing Objects around by Reference & by Value, by officially having little need to be aware of either!
Another intermediate question, be prepared to discuss how a "typeless" language such as Python also allows us to perform class-name & instance-type checking.
A question that EVERY 'Pythoneer should be prepared to answer.
Learn how to perform a "Type 1," "Type 2," or "Type 3" interation, without using "range()."
How to invert strings - or any other interable - data type?
The concepts reviewed in this introductory set of questions (Lessons #K0001 - K0022) spans 22 popular programmer concepts. No "advanced" questions are included.
This educational opportunity has been updated to include three "must know" bonus questions.
Basic Training - Review!
Also available on Udemy, students should note that all concepts presented in this first set of Python Review Questions have been hand-selected by the author from his Python Primer (Python 1000,) as well as his Beyond the Basics (Python 2000) on-line training opportunities.
Know How
Fellow Python enthusiasts should note that this set of Python review questions also serves as an introduction to the author's official Know How question & answer series. Unlike this set first of lessons, the questions and answers included in the author's "Know How" series include concepts found throughout the author's Python 3000 training opportunities, as well as a related set of information from the authors blog, and his Tactical Python Projects video presentations.
Real-Word Matters
Students interested in learning how to prepare for "white board" design sessions - yet another popular interview challenge - should consider reading "Python by Design." An Open Source project on GitHub, the source code for the GitHub project is also part of the "Python by Design" book, and is now available on Amazon.
About This Series
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.