Python in Practice Total Learning
QA Total Learning™ is our newest and most effective way to learn.
Combining the best of digital and live learning, with access to world-class industry experts, we focus on ensuring you can apply your learning to help you drive impactful results in your workplace. What's more, our digital platform gives you the tools to track your progress and manage your own learning.
If you are looking to start a journey in application development, scripting, or data analysis using the Python programming language, then this Total Learning course is for you.
In this Total Learning course, you will learn everything you need in order to develop fully functional Python applications, as well as gain a broader context of its supporting concepts, such as source control and best practice. By the end of this course, you will be able to use Python to create simple programs, scripts, or data analysis tools.
Python is one of the industry’s most popular, prevalent, and diverse programming languages. Even if you have little experience in programming languages, such as Java or web technologies, this course will help you to upskill and learn a new programming language.
Furthermore, we will support you to use your new skills in relevant workplace projects. This will ensure that your new knowledge, skills, and behaviours are developed in your everyday setting. As a result, upon completion of this course, you will receive formal validation of real work experience!
- write short programs using core Python techniques.
- use functions and packages to make Python code modular and reusable.
- use documentation, comments, and consistent code style to make your Python readable.
- write Python programs that use external data sources.
- write Python programs using object-oriented methods.
- use error handling and testing to make your programs robust.
- find and use suitable packages from the Python Standard Library.
- recognise how to install and import external packages.
No previous knowledge of Python is assumed, although delegates should be familiar with at least one programming language.
Experience of another scripting language, such as Perl or PHP, would be an advantage, as would previous experience of object-oriented programming.
This course consists of three key learning stages, all explained during a 1-hour virtual kick off session:
- Digital stage - up to 15 hours over a 3 week period
- Live event - 3 days
- Apply stage - up to 3 hours over a 3 month period
Digital stageThe Digital stage will offer digital learning designed to develop the core skills needed, including hands-on labs, quizzes, and a combination of video and written content.
- Introduction to Python
- Data types and variables
- Flow control
- String handling
- Data storage and file handling
- Error handling and exceptions
This is a trainer-led virtual Live event, which will take place over three days. At this stage, you will put into practice knowledge of core syntax, OOP, storing and processing data, and interacting with the file system and databases. Next, you will build ‘professional-looking’ scripts, reuse existing modules, and write your own modules and packages.
- Reinforcing core syntax from the Digital stage
- Storing and processing data in collections in memory
- Storing data and objects persistently in files and databases
- Matching data using Regular Expressions
- Writing and call user functions, pass parameters, and return data
- Documenting and testing the performance and quality of your code
- Filtering collections using different techniques including lambda functions and comprehensions
- Writing a generator function to return a lazy list
- Writing scripts and modules professionally
- Importing and reusing modules, understanding namespaces
- Creating a class and understanding the benefits of OOP
- Object instantiation, inheritance, duck typing, and encapsulation
- Creating properties and using decorators
We will support you to create a Python-based application in your workplace. At the end of this Apply activity, you will have attained an approval of your application and QA will formally validate your work experience (which you can add to your CV).
- Creating a Python-based application in the workplace
- Implementing OOP, testing, and coding best practices into the process of app development
- Factoring in source control practices in development