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Instructor

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David Sanchez

David N. Sanchez has 14 years of experience in industry software development and statistics. He has worked in many industries including health care and health insurance (Sierra Health/Health Plan of Nevada), higher learning (California State University, Fullerton), real estate and finance (First American Title Software), and communications (Flash of Genius/UpdatePromise). Currently he works with various clients developing machine learning applications and consulting on data infrastructures. This includes hands on work with Python, R, cloud technologies such as AWS Redshift, NOSQL technologies such as MongoDB and ElasticSearch, and visualization technologies such as d3.js. David has an M.S. in Computer Science from California State University, Fullerton with an emphasis in bioinformatics and machine learning.

Object Oriented Python/Performance Optimization

Instructor: David Sanchez

Learn object oriented design patterns and strategies for optimizing performance.

  • The course goes into detail in creating object oriented Python applications and provides instructions on the creation of common design patterns in Python.
  • Instructor has 14 years of experience in industry software development and statistics. He has worked in many industries including health care and health insurance (Sierra Health/Health Plan of Nevada), higher learning (California State University, Fullerton), real estate and finance (First American Title Software), and communications (Flash of Genius/UpdatePromise).

Course Description

This course provides a general overview of Python basics needed to create successful object oriented Python applications. It then goes into detail in creating object oriented Python applications and provides instructions on the creation of common design patterns in Python. The course finishes up with recommendations on increasing performance of your Python applications whether it be for reducing memory or decreasing the run time of an application.

What am I going to get from this course?
Create high high-performance objects and applications that can be used in production environments

Prerequisites and Target Audience

What will students need to know or do before starting this course?
Although students will learn basic Python syntax needed to begin object oriented development in Python, students should be familiar with the general programming terminology and logic such as if and else statements. They should also be familiar with the general idea of class object concepts such as inheritance.

Students should know how to install applications on their system and install Python 3.
Who should take this course? Who should not?
Students that would like to learn advanced Python techniques will benefit from this course. Also, those students used to another programming language and want to create Python applications for the first time may also benefit. This course dives into utilizing Python for creating advanced class objects and optimizing them for production value. Students that already know advanced object oriented Python techniques may not benefit from this course.

Curriculum

Module 1: Python Basics
Lecture 1 Welcome
01:18

This is a general overview of the course.

Lecture 2 Python Basics Overview
00:25

An overview of the items discussed relating to Python basics.

Lecture 3 Python Interpreter and the Versions Available
01:39

Learn why python is an interpreted language. We will also discuss the versions of Python available and why you would choose one version over the other.

Lecture 4 Why Choose Python
01:40

Know the reasons for choosing Python to build your application.

Lecture 5 Your Python Environment
04:02

Installing Python on Common Systems: An overview of installing and running Python on different environments. Environment: Learn some common settings you may need to run your Python application. Pip: Pip is a popular application used to access Python package repositories. You will learn common pip commands to find and install the package you need. Project File Structure: Learn how the file structure of your project will affect how your Python application runs and how package modules are utilized.

Quiz 1 Python Environment Quiz

Be prepared to setup your environment for Python development.

Quiz 2 Assignment: Setup your Project

Setup your project in preparation of the Python Class Object module.

Module 2: Syntax
Lecture 6 Syntax Overview/Variables
02:40

Overview of the content being covered by the syntax module. Python variables are also covered in this lecture.

Lecture 7 Logical and Bitwise Operators
03:54

Learn common logical and bitwise operators to write successful Python applications.

Lecture 8 If Statements
07:22
Lecture 9 While Loops
02:06
Lecture 10 For Loops
04:13
Lecture 11 Defining Methods and Main
08:34

Define methods and parameters. Also, define a main function and understand “__name__.” The variable scopes local and global are demonstrated.

Lecture 12 Dictionaries, Tuples, and Lists
07:32

Know the difference and when to use a dict, list, or tuple.

Lecture 13 Strings and Formatters
09:43

Strings, Unicode, and string formatters are demonstrated. Also, string encoding will be discussed.

Lecture 14 Anonymous Functions
03:40

Python has powerful anonymous functions called lambdas. You learn how to use them and their advantages.

Quiz 3 Python Basics Quiz

Be sure you are familiar with the basics of Python syntax to continue with the next module.

Quiz 4 Fizz Buzz Assignment

A common Python interview question is to solve the FizzBuzz puzzle. The FizzBuzz puzzle goes as follows for the integers 1 through 100 print on each line "Fizz" if the integer is divisible by 3, "Buzz" if the number is divisible by 5, "FizzBuzz" if the number is divisible by 3 and 5, and print the integer value for all other cases. The solution should look like the following for the numbers 1 through 20. 1 2 Fizz 4 Buzz Fizz 7 8 Fizz Buzz 11 Fizz 13 14 FizzBuzz 16 17 Fizz 19 Buzz Create a script that runs by the command "python fizzbuzzsolution.py" on your system. In your solution use a for loop or in line for loop and if or inline if statements. Define a method for your solution called "print_fizz_buzz" and be sure to call your method from a method that you define as your main method.

Module 3: Python Class Objects
Lecture 15 Introduction
00:38

Overview of the Python class objects module

Lecture 16 Creation and Instantiation
01:58

Create and instantiate a Python class. Know how to create a class constructor.

Lecture 17 Python Class Attributes
06:10

Create protected, private, and public attributes. Know the difference and their behavior in Python.

Lecture 18 Python Instance Class Attributes
05:49

Know the difference between class attributes (static types in some languages) and instance attributes.

Lecture 19 Inheritance in Python
18:48

Know what a super class is and create classes that inherit from a super class. Understand the super method call in an inherited method.

Lecture 20 Class Interface
15:14

Implement the commonly used interface design pattern in Python and make sure your method stubs are implemented when inherited.

Lecture 21 Class Factory - Factory by If Statements
10:01

Implement a class factory to maintain the creation of new object types. In this lecture we implement the factory pattern using if statements.

Lecture 22 Class Factory - Metaclasses
12:07

Implement a class factory to maintain the creation of new object types. In this lecture we implement the factory pattern using a metaclass.

Lecture 23 Multiple Inheritance
06:54

Learn the method to inherit attributes from many parent classes if you must.

Lecture 24 Class Decorators
12:53

Be familiar with class decorators such as @property, @staticmethod, and @classmethod.

Lecture 25 Base Methods
15:35

Customize custom behaviors such a printing your custom object by overriding base methods such as __str__.

Lecture 26 Custom Base Object, Collections, and Dict Objects
18:22

Inherit from base objects such as list to create your own complex objects or collection of objects.

Lecture 27 Custom Base Object, Collections, and Dict Objects - Demonstrate Custom List Container
16:14

Inherit from base objects such as list to create your own complex objects or collection of objects. In this lecture we demonstrate the functionality of the custom list container we created.

Quiz 5 Python Class Objects

Be familiar with Python class object concepts and design patterns to create successful applications that are ready for a production environment.

Quiz 6 Assignment: Inherit from the dictionary class

Create a class that inherits from the dictionary class.

Note 1 Python Class Objects Source Code

Download the source code used for the demonstrations of this lecture.

Module 4: Enhancing Performance
Lecture 28 Enhancing Performance Introduction
01:03

Overview of the lectures in the Python optimization module.

Lecture 29 Loading and Unloading Data Quickly
04:06

Use cPickle to serialize and unserialize data from storage.

Lecture 30 Options for Reducing the Amount of Memory Being Used
05:24

Python includes features out of the box such as using “yield” for generators for reducing the amount of memory being utilized at one time. Learn by example how to utilize this powerful feature.

Lecture 31 Multi-threading and Multi-processing
11:37

Know the difference between the two methods and know when to use them to decrease the run times of your application jobs.

Lecture 32 Use Specialized Packages for the Right Job
03:44

Be aware of the correct packages to utilize for your needed functionality. There may exist packages tuned to maximize the performance of your task.

Lecture 33 Compile to C
05:18

Learn to use Cython to compile a Python application to C objects.

Lecture 34 Utilize your GPU for Maximum Performance
03:16

Learn about the popular Python packages created so you can take advantage of the many GPU cores that exist in 3D graphics cards today.

Quiz 7 Python Optimization

Be ready to optimize your applications whether you need to reduce the run time of your application or make it fit into memory.

Quiz 8 Optimization Assignment

Complete the optimization assignment.

Note 2 Enhancing Performance Source Code

Download the source code used in the module demonstrations.

Reviews

5 Reviews

Empty user
Kamal K

August, 2017

A very helpful course for learning the basics of forming object oriented Python functions. It gives excellent guidelines on the formation of common design standards in Python. I find the instructor has developed the course very well with his wide industry experience.

Empty user
Jodi D

August, 2017

This course was great! The instructor taught all the basics of how to create high-performance object oriented Python applications that can be used in production environments and explained why certain things work in certain ways.

Empty user
Xiao X

August, 2017

This is excellent for a novice, beginner to intermediate python user to learn features in designing object oriented applications and guidelines for the creation of common design patterns in Python. Perfect for those wanting a detailed step by step walkthrough on all the major things in Python.

Empty user
Norbert K

August, 2017

This is excellent for a novice, beginner to intermediate python user to learn features in designing object oriented applications and guidelines for the creation of common design patterns in Python. Perfect for those wanting a detailed step by step walkthrough on all the major things in Python.

Empty user
Youcef B

August, 2017

A very useful course, according to me. It definitely helped me master Python techniques. This course presented a comprehensive analysis of Python elements required to bring about strong object oriented Python applications. The suggestions at the end of the course are fantastic for improving performance of Python applications.

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