HARTMANN software group

Advanced Programming Techniques with Python Training in Denver

Enroll in or hire us to teach our Advanced Programming Techniques with Python class in Denver, Colorado by calling us @303.377.6176. Like all HSG classes, Advanced Programming Techniques with Python may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, Advanced Programming Techniques with Python may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  

Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications.

Course Length: 1390 Days
Course Tuition: $3 (US)

Prerequisites
To ensure your success in this course, you should have experience with object-oriented programming and Python 2.x or 3.x.

Course Outline

  
Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications
Topic A: Implement Object-Oriented Design
Topic B: Leverage the Benefits of Object-Oriented Programming
 
Lesson 2: Creating Object-Oriented Python Applications
Topic A: Create a Class
Topic B: Use Built-in Methods
Topic C: Implement the Factory Design Pattern
 
Lesson 3: Creating a Desktop Application
Topic A: Design a Graphical User Interface (GUI)
Topic B: Create Interactive Applications
 
Lesson 4: Creating Data-Driven Applications
Topic A: Connect to Data
Topic B: Store, Update, and Delete Data in a Database
 
Lesson 5: Creating and Securing a Web Service-Connected App
Topic A: Select a Network Application Protocol
Topic B: Create a RESTful Web Service
Topic C: Create a Web Service Client
Topic D: Secure Connected Applications
 
Lesson 6: Programming Python for Data Science
Topic A: Clean Data with Python
Topic B: Visualize Data with Python
Topic C: Perform Linear Regression with Machine Learning
 
Lesson 7: Implementing Unit Testing and Exception Handling
Topic A: Handle Exceptions
Topic B: Write a Unit Test
Topic C: Execute a Unit Test
 
Lesson 8: Packaging an Application for Distribution
Topic A: Create and Install a Package
Topic B: Generate Alternative Distribution Files
 
Appendix A: Mapping Python Course Content to Python Institute Certification Exams

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Python Programming Uses & Stats

Python Programming is Used For:
Web Development Video Games Desktop GUI's Software Development
Difficulty
Popularity
Year Created
1991
Pros
Easy to Learn:
The learning curve is very mild and the language is versatile and fast to develop.
 
Massive Libraries:
You can find a library for basically anything: from web development, through game development, to machine learning.
 
Do More with Less Code:
You can build prototypes and test out  ideas much quicker in Python than in other language
Cons

Speed Limitations:

It is an interpretive language and therefore much slower than compiled languages.

Problems with Threading:

Multi-threaded CPU-bound programs may be slower than single-threaded ones do to the Global Interpreter Lock (GIL) that allows only one thread to execute at a time.

Weak on Mobile:

Although, there are a number or libraries that provide a way to develop for both Android and iOS using Python currently Android and iOS don’t support Python as an official programming language.
Python Programming Job Market
Average Salary
$107,000
Job Count
26,856
Top Job Locations

New York City

Mountain View

San Francisco
Complimentary Skills to have along with Python Programming
The potential for career growth, whether you are new to the industry or plan to expand your current skills, depends upon your interests:
  - For knowledge in building in PC or windows, phone apps or you are looking your future in Microsoft learn C#
  - For android apps and also cross platform apps then learn Java
  - If you are an Apple-holic and want to build iOS and MAC apps and then choose Objective C or Swift
  - Interested in game development? C++
  - Data mining or statistics then go with R programming or MATLAB
  - Building an operating systems? C

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.