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Home > Introduction To Python (55284ac)

Introduction to Python (55284AC) 

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

Welcome to the Introduction to Python course.

 

In this four-day Python training course, students learn to program in Python. The course is aimed at students new to the language who may or may not have experience with other programming languages. This Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted.

 

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

  • Understand how Python works and Python's place in the world of programming languages.
  • Work with Python literals and comments.
  • Work with variables and Python data types.
  • Work with simple modules.
  • Output data with print().
  • Collect user input.
  • Define and call functions.
  • Work with parameters and arguments.
  • Use variable scope.
  • Create and import modules.
  • Use math in Python.
  • Work with the math and random modules.
  • Work with string basics.
  • Work with special characters.
  • Work with multi-line strings.
  • Index and slice strings.
  • Work with common string operators and methods.
  • Format strings.
  • Use built-in string functions.
  • Work with lists, tuples, ranges, dictionaries, and sets.
  • Work with the *args and **kwargs parameters.
  • Work with virtual environments.
  • Install packages with pip.
  • Work with conditions and loops.
  • Work with generator functions.
  • Work with list comprehensions.
  • Work with exception handling.
  • Work with the time and datetime modules.
  • Work with files and directories.
  • Work with the os and os.path modules.
  • Work with PEP8 and Pylint.
  • Pricing & Payment Options

    NEW SECTION
  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More)
    • 4 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

    • Some programming experience is helpful, but not required.

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.

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.

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.

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.

 

Mentored Online Learning

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

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: Python Basics
This module explains how to get started using Python.
 
  • Getting Familiar with the Terminal
  • Running Python
  • Running a Python File
  • Literals
  • Variables
  • Constants and Deleting Variables
  • Writing a Python Module
  • print() Function
  • Collecting User Input
  • Reading from and Writing to Files

 


Module 2: Functions and Modules
You have seen some of Python’s built-in functions. In this lesson, you will learn to write your own.
 
  • Defining Functions
  • Variable Scope
  • Global Variables
  • Function Parameters
  • Returning Values
  • Returning Values
  • Importing Modules
  • Methods vs. Functions

Module 3: Math
Python includes some built-in math functions and some additional built-in libraries that provide extended math (and related) functionality. In this lesson, we’ll cover the built-in functions and the math and random libraries.
 
  • Arithmetic Operators
  • Assignment Operators
  • Precedence of Operations
  • Built-in Math Functions
  • The math Module
  • The random Module
 

Module 4: Python Strings
This module explains how to work with Python Strings.
 
  • Quotation Marks and Special Characters
  • String Indexing · Slicing Strings
  • Concatenation and Repetition
  • Combining Concatenation and Repetition
  • Python Strings are Immutable
  • Common String Methods
  • String Formatting
  • Formatted String Literals (f-strings) (introduced in Python 3.6)
  • Built-in String Functions
 

Module 5: Iterables: Sequences, Dictionaries, and Sets
Iterables are objects that can return their members one at a time. The iterables we will cover in this lesson are lists, tuples, ranges, dictionaries, and sets.
 
  • Definitions · Sequences
  • Lists
  • Sequences and Random
  • Tuples
  • Ranges
  • Converting Sequences to Lists
  • Indexing
  • Slicing
  • min(), max(), and sum()
  • Converting between Sequences and Strings
  • Unpacking Sequences
  • Dictionaries
  • The len() Function
  • Sets
  • *args and **kwargs
 

Module 6: Virtual Environments
A virtual environment provides a self-contained directory tree with its own Python installation and additional packages necessary for the project(s) being done in that environment. As such, scripts can be run in a virtual environment that have dependencies that are different from those in other development projects that may be running in the standard environment or in separate virtual.
 
  • Packages with pip
 

Module 7: Flow Control
This module explains how to change the flow by using conditional statements and loops.
 
  • Conditional Statements
  • Compound Conditions
  • The is and is not Operators
  • all() and any() and the Ternary Operator
  • In Between
  • Loops in Python
  • break and continue
  • Looping through Lines in a File
  • The else Clause in Loops
  • The enumerate() Function
  • Generators
  • List Comprehensions
 

Module 8: Exception Handling
This module explains how to anticipate and handle exceptions gracefully.
 
  • Exception Basics
  • Generic Exceptions
  • The else and finally Clauses
  • Using Exceptions for Flow Control
  • Raising Your Own Exceptions
 

Module 9: Python Dates and Times
This module explains how to use Python’s built-in modules to work with dates and times.
 
  • Understanding Time
  • The time Module
  • Time Structures
  • Times as Strings
  • Time and Formatted Strings
  • Pausing Execution with time.sleep()
  • The datetime Module
  • datetime.datetime Objects
  • datetime.timedelta Objects

 


Module 10: File Processing
This module explains how to process files.
 
  • Opening Files
  • Writing to Files
  • The os Module
  • os.walk()
  • The os.path Module
  • A Better Way to Open Files

 


Module 11: PEP8 and Pylint
This module explains how to use the official Python style guide.
 
  • PEP8
  • Pylint
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 11 July 2022
    14 July 2022
    Full Time
  • 01 August 2022
    04 August 2022
    Full Time
  • 22 August 2022
    25 August 2022
    Full Time
  • 05 September 2022
    08 September 2022
    Full Time
  • 03 October 2022
    06 October 2022
    Full Time
  • 24 October 2022
    27 October 2022
    Full Time
  • 14 November 2022
    17 November 2022
    Full Time
  • 28 November 2022
    01 December 2022
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 11 July 2022
    14 July 2022
    Full Time
  • 01 August 2022
    04 August 2022
    Full Time
  • 22 August 2022
    25 August 2022
    Full Time
  • 22 August 2022
    25 August 2022
    Full Time
  • 05 September 2022
    08 September 2022
    Full Time
  • 03 October 2022
    06 October 2022
    Full Time
  • 24 October 2022
    27 October 2022
    Full Time
  • 14 November 2022
    17 November 2022
    Full Time
  • 28 November 2022
    01 December 2022
    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.

Introduction to Python (55284AC)





  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.

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.

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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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