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Python Programming 2: Advanced Programming Techniques

Take your Python programming skills to the next level with this advanced course. Learn about classes, inheritance, interacting with the OS, collections, and more. Boost your programming abilities and become a Python pro.

  • Advanced
  • 18 and older
  • $995
  • 2 Park Ave, New York, NY
  • 13 hours & 30 minutes over 2 sessions

Start Dates (2)

  • $995
  • ONLC Grand Central Station @ 2 Park Ave 20th Fl, New York, NY 10016
  • 13 hours & 30 minutes over 2 sessions
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  • Thu, Apr 04 at 10:00am - 4:45pm
  • Fri, Apr 05 at 10:00am - 4:45pm
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  • Thu, May 02 at 10:00am - 4:45pm
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Class Description

Description

What you'll learn in this python class:

In this Python training course, students already familiar with Python programming will learn advanced Python techniques.

Class Prerequisites

Experience in the following is required for this Python class:

  • Basic Python programming experience. In particular, you should be very comfortable with:
  • Working with strings.
  • Working with lists, tuples and dictionaries.
  • Loops and conditionals.
  • Writing your own functions.

Experience in the following would be useful for this Python class:

  • Some exposure to HTML, XML, JSON, and SQL.

Course Outline

Classes and Objects

  • Defining Classes
  • The __init__ method
  • Keyword Arguments

Methods

  • Instance Methods
  • Adding Arguments to Instance Methods
  • The __str__ method
  • Static Methods
  • Class Methods
  • Properties
  • The Property Decorator
  • The Setter Method
  • Validation via the Setter Method

Inheritance

  • The DRY Principle Revisited
  • Single Inheritance
  • Sub-Classing Classes from Python Packages
  • Overriding Methods
  • Calling the Parent Method with super()
  • Multiple Inheritance
  • Method Resolution Order

The Importance of the Standard Library

  • High-Level Modules
  • Lower-Level Modules
  • Knowing How to Navigate in the Standard Library
  • Dates and Times
  • datetime Objects

Interacting with the OS

  • OS Information
  • Using pathlib
  • Listing All Hidden Files in Your Home Directory
  • Using the subprocess Module

Collections

  • Counters
  • defaultdict
  • ChainMap

Becoming Pythonic

  • Using List Comprehensions
  • Set and Dictionary Comprehensions
  • Comprehensions and Multiple Lists
  • Default Dictionary
  • Iterators
  • Itertools
  • One, and Back Again
  • Generators
  • Regular Expressions

Software Development

  • Debugging
  • Automated Testing
  • Test Categorization
  • Test Coverage
  • Writing Tests in Python with Unit Testing
  • Writing a Test with pytest

Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.

Substitutions

  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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