Serializing Objects

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Course overview
1 HOUR OF TRAINING
2 SKILLS
11 VIDEOS
0 VIRTUAL LABS
0 PRACTICE EXAMS
Ben Finkel
Nugget trainer since 2014
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Python Object-Oriented Programming Tutorial FAQs: Cost, Training, Value

What will you learn in this introductory Python training?

This course was developed to give learners a basic familiarity with object-oriented programming and Python in as little time as possible. This introductory Python course teaches just enough for you to see what sets Python apart and learn the basics of writing in it. After, you'll know enough to choose when to incorporate it into your projects.

Who should take this object-oriented programming tutorial?

Application developers, web developers and UI/UX developers should take this course on Python. You'll learn enough Python that you'll be able to understand what Python scripts are doing when you come across them, and enough about object-oriented programming that you'll be ready to decide if it's the right choice for your next project.

Is this training in object-oriented programming and Python associated with any certifications?

No, this isn't a certification course – this is an introductory skills course. Rather than try to teach you what you should expect to find on an exam, this course spends its time explaining the concepts of object-oriented programming and the basics of coding in Python. By the end, you'll know enough to write simple Python code.

What certification should you consider after taking this tutorial in object-oriented programming?

If you have no experience with Python, you should look into the Certified Entry-level Python Programmer (PCEP) after taking this course. The Python Institute maintains the PCEP, which tests familiarity with Python terms, logic and structure, and core operators and functions. This course reveals only the basics of each major portion of the PCEP exam.

Why should you take this Python tutorial?

You should take this course on Python and object-oriented programming because as a programming model, OOP inherently encourages code reuse and resists accidental overwriting or external influence. This tutorial on Python and object-oriented programming will help you make wise choices about the languages you choose to pursue and master as you move through your career.
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