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Home > Advanced Python (55285ac)

Advanced Python (55285AC)  

- Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC).

Welcome to the Advanced Python course.

 

This two-day Advanced Python training course picks up where our Introduction to Python course leaves off. This course is for students who have taken the introductory course and are ready to learn more and for students who have some experience programming with Python and are ready to go to the next level. The course was written using Python 3.8, but is relevant for all students using Python 3.

 

Job Role: Developer

 

 

Features & Benefits

  •  This is an authorised Microsoft Official Course (MOC). 

         

  • Learners will gain confidence to take role-based courses and certifications.
  • An additional fee is payable for exam vouchers.
  • Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More) 

         

  • Attendees will learn practical skills which can be applied in the work environment.

Outcomes & Objectives

Upon completion of this course, learners will have acquired these skills

  • Work with Lambda functions.
  • Work with advanced list comprehensions.
  • Work with the collections module.
  • Use mapping and filtering.
  • Sort sequences.
  • Unpack sequences in function calls.
  • Work with modules and packages.
  • Understand regular expressions.
  • Use Python's re module.
  • Store data in a relational database.
  • Store data in a CSV file.
  • Work with data from a web page.
  • Use HTML, XML, and JSON.
  • Access an API.
  • Test performance with timers and the timeit module.
  • Work with the unittest module.
  • Work with classes and objects in Python.
  • Work with instance methods, class methods, and static methods.
  • Work with properties.
  • Work with decorators.
  • Work with subclasses and inheritance.

  • Pricing & Payment Options

    NEW SECTION

  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More)

    • 2 Days (08:30 – 16:00) Classes are  presented via our Hybrid Learning allowing  learners the flexibility to attend on campus or in the comfort of their home or workplace.

     

  • Course Prerequisites

    Experience in the following is required for this Python class:
    • Basic Python programming experience. In particular, you should be very comfortable with:
    1. Working with strings.
    2. Working with lists, tuples and dictionaries.
    3. Loops and conditionals.
    4. Writing your own functions.
     
    Experience in the following would be useful for this Python class:
    • Some exposure to HTML, XML, JSON, and SQL.

Our Delivery Methods

Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes

Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience, done during the traditional 08:00 – 16:00 working day.

Learn more

Online Mentored Learning

Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

Learn more

Part Time Mentored Learning

Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.

Learn more

Our Hybrid Delivery Methods

Our Hybrid Delivery Methods

myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime

Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind

Never miss a classs because of health, traffic, or transport issues.

#Flexibility

A personalized class schedule, attend class on campus, virtually or both.

 

In Class or Virtual Class Based Learning

A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.

LEARN MORE
 

Mentored Online Learning

A technology mediated, self paced online delivery method with personal mentorship.

LEARN MORE

What you get

On completion the learner will earn:

  • Certificate of Completion from Microsoft

 

Note: All certificates are electronically issued.

Important Notes

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required. 
  • Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  • Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes. 
  • Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
Module 1: Advanced Python Concepts
In this lesson, you will learn about some Python functionality and techniques that are commonly used but require a solid foundation in Python to understand.
 
  • Lambda Functions
  • Advanced List Comprehensions
  • Collections Module
  • Mapping and Filtering
  • Mutable and Immmutable Built-in Objects
  • Sorting
  • Unpacking Sequences in Function Calls

 

Module 2: Regular Expressions

Regular expressions are used to do pattern matching in many programming languages, including Java, PHP, JavaScript, C, C++, and Perl. We will provide a brief introduction to regular expressions and then we’ll show you how to work with them in Python.
 
  • Regular Expression Tester
  • Regular Expression Syntax
  • Python’s Handling of Regular Expressions
 

Module 3: Working with Data

Data is stored in many different places and in many different ways. In this lesson, you’ll learn about the Python modules that help you access data.
 
  • Virtual Environment
  • Relational Databases
  • Passing Parameters
  • SQLite · SQLite Database in Memory
  • Drivers for Other Databases
  • CSV · Creating a New CSV File
  • Getting Data from the Web
  • XML
  • JSON

 

Module 4: Testing and Debugging

In this lesson, you will learn to test the performance and the functionality of your Python code. 
 
 
  • Testing for Performance
  • The unittest Module
  • Special unittest.TestCase Methods

 

Module 5: Classes and Objects

An object is something that has attributes and/or behaviors, meaning it is certain ways and does certain things. In the real world, everything could be considered an object. Some objects are tangible, like rocks, trees, tennis racquets, and tennis players. And some objects are intangible, like words, colors, tennis swings, and tennis matches. In this lesson, you will learn how to write object-oriented Python code.
 
  • Attributes
  • Behaviors
  • Classs vs. Objects
  • Attributes and Methods
  • Private Attributes
  • Properties
  • Objects that Track their Own History
  • Documenting Classes
  • Inheritance
  • Extending a Class Method
  • Static Methods
  • Class Attributes and Methods
  • Abstract Classes and Methods
  • Understanding Decorators
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 08 September 2025
    09 September 2025
    Full Time
  • 17 November 2025
    18 November 2025
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 08 September 2025
    08 September 2025
    Correspondence
  • 17 November 2025
    18 November 2025
    Correspondence
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 08 September 2025
    08 September 2025
    Full Time
  • 17 November 2025
    18 November 2025
    Full Time

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Advanced Python (55285AC)
  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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