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Python 9000: Interview Review Concepts (K1 thru K22)
Rating: 3.9 out of 5(47 ratings)
4,155 students

Python 9000: Interview Review Concepts (K1 thru K22)

Common Questions and Answers for Pythoneers
Last updated 6/2025
English

What you'll learn

  • K0001: Describe Program Location & Paths
  • K0002: Related Path & Module Differences
  • K0004: Understand Documentation Scope & Discovery Techniques
  • K0005: Review Object Iteration
  • K0006: Answer Questions on "Slicing"
  • K0007: Zero-Based Collections
  • K0008: Prevent "Late Binding" Errors
  • K0009: Respond to Questions on Value -v- Reference Passing
  • K0010: Review Basic Instance & Type Detection
  • B0010: Review basic iteration tasks
  • B0020: Use "Slicing" to interate through ANY iterable type
  • B0030: Discover how to REVERSE iterate through strings, or ANY OTHER iterable type

Course content

3 sections25 lectures1h 20m total length
  • Overview0:54

    Introduction: Presentation Strategy & Lesson Review

  • K0001 - Python Paths7:22

    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.

  • K0002 - Script or Module?4:00

    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.

  • K0003 - Self-Documentation3:15

    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.

  • K0004 - Basic Enumerations4:43

    Demonstrate Python mastery by creating ranges, as well as enumerating through collections by understanding the three forms of each.

  • K0005 - Basic Slicing3:13

    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.

  • K0006 - Dollar Format2:32

    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!

  • K0007 - Zero Based Collections1:24

    Everyone should understand this concept, but some do not. Be prepared!

  • K0008 - Late Binding Errors2:38

    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.

  • K0009 - Passing by Reference, or by Value?4:03

    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!


  • K00010 - Basic Type Discovery1:34

    Another intermediate question, be prepared to discuss how a "typeless" language such as Python also allows us to perform class-name & instance-type checking.

  • K00011 - What's the difference between a "class" and an "instance?"3:27
  • K00012 - How do throw an exception?3:39
  • K00013 - What is a "literal"?4:47

Requirements

  • Experience using Python
  • Ability to run Python Scripts

Description

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.

Who this course is for:

  • Students looking to review concepts