Python 9000: Review Concepts (K11 thru K22)
Python 9000: Review Concepts (K11 thru K22), available at $19.99, has an average rating of 3.7, with 17 lectures, based on 10 reviews, and has 1953 subscribers.
You will learn about Contrast instances -v- classes (K0011) Understand criticalpath exception keywords (K0012) Review "string literal" concepts (K0013) Describe comprehension types & trade-offs (K0014) Understand how to check for Object Types Addresses (K0015) Re-discover Python's Meta / Magic Methods (K0016) Understand Python's 5 Exception Keywords (K0017) Review the justifications & operations of the GIL (K0018) Compare & contrast Python's initialization concepts (K0019) Review how to create multi-dimensional arrays (K0020) Master the creation of Context Managers (K0021) Enjoy our demystification of Python's Lambda functions (K0022) This course is ideal for individuals who are Students looking to review what they know. or Software developers looking to prepare for an employment interview. It is particularly useful for Students looking to review what they know. or Software developers looking to prepare for an employment interview.
Enroll now: Python 9000: Review Concepts (K11 thru K22)
Summary
Title: Python 9000: Review Concepts (K11 thru K22)
Price: $19.99
Average Rating: 3.7
Number of Lectures: 17
Number of Published Lectures: 17
Number of Curriculum Items: 17
Number of Published Curriculum Objects: 17
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Contrast instances -v- classes (K0011)
- Understand criticalpath exception keywords (K0012)
- Review "string literal" concepts (K0013)
- Describe comprehension types & trade-offs (K0014)
- Understand how to check for Object Types Addresses (K0015)
- Re-discover Python's Meta / Magic Methods (K0016)
- Understand Python's 5 Exception Keywords (K0017)
- Review the justifications & operations of the GIL (K0018)
- Compare & contrast Python's initialization concepts (K0019)
- Review how to create multi-dimensional arrays (K0020)
- Master the creation of Context Managers (K0021)
- Enjoy our demystification of Python's Lambda functions (K0022)
Who Should Attend
- Students looking to review what they know.
- Software developers looking to prepare for an employment interview.
Target Audiences
- Students looking to review what they know.
- Software developers looking to prepare for an employment interview.
The concepts reviewed in this introductory set of questions (Lessons #K0011 – K0022) covers more “beginner,” as well as “intermediate” Python programmer concepts. No “advanced” questions are included.
This educational opportunity has been updated to include several “must know” bonus questions.
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.
PyQuesting
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.
Python By Design
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 professionalworld 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.
The questions and answers included in this series also includes 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 Project video presentations.
Course Curriculum
Chapter 1: Nagy's Know How for Python – Series II
Lecture 1: Python Review: K11 – K23
Lecture 2: K0011- Instances
Lecture 3: K0012 – Basic Exceptions
Lecture 4: K0013 – String Literals
Lecture 5: K0014 – Comprehensions
Lecture 6: K0015 – Object Identification or Address
Lecture 7: K0016 – Meta Methods
Lecture 8: K0017 – Pythons Five (5) Exception Keywords
Lecture 9: K0018 – Locking the Interpreter
Lecture 10: K0019 – Comparative Initialization
Lecture 11: K0020 – Multi-Dimensional Arrays
Lecture 12: K0021 – Context Management
Lecture 13: K0022 – Lambda Functions
Lecture 14: K0001 – Python Path
Lecture 15: K0004: Range -v- Enumerate
Lecture 16: Bonus: Returning multiple values
Lecture 17: Bonus: Combining iterable types
Instructors
-
Randall Nagy
Software Engineer & Educator
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 3 votes
- 5 stars: 3 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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