Advanced Programming Techniques with Python Training in Warren
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                	 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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- Fast Track to Java 17 and OO Development 
 8 December, 2025 - 12 December, 2025
- RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I 
 3 November, 2025 - 7 November, 2025
- ASP.NET Core MVC (VS2022) 
 24 November, 2025 - 25 November, 2025
- RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II 
 8 December, 2025 - 11 December, 2025
- See our complete public course listing 
Python Programming Uses & Stats
| Difficulty | Popularity | Year Created1991 | 
| 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 |   Job Count |   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 | 






