Python Programming

TRAINING COURSE

Details Audience and Pre-Requisites Course Outline / Curriculum Schedule Dates and Booking Enquiry

Details

Python is a popular and easy-to-learn language with applications in Data Science, Engineering, Mathematics, Software development and more. Python is a very high-level object-oriented programming language which is used extensively as a web programming language, and cross-platform graphical user interface. It is also a scripting language for system administration, GIS packages and engineering software. Python is relatively easy to learn and eliminates much of the boilerplate code that many comparable languages require. Python allows the programmer to choose between programming paradigms: imperative and object oriented, procedural and functional.

This course covers the Python programming language from first principles to advanced concepts in functional programming and object-oriented design. This course is a great option for anyone who needs to gain a broad understanding of Python and gain real-world programming skills.

 

Delivery Methods

Delivery Method Duration
Classroom
Instructor-led classroom-based training. Classes are scheduled at various conference centres in the Sandton area or your premises. Stationary and printed manuals or online resources are included. Refreshments, including 2 tea breaks and a cooked meal for lunch are provided. Training is between 9 am to 4 pm.
Classroom
5 Days Get a Quote
Live Virtual Training
This course is delivered live via Microsoft Teams. You will be able to see and hear the instructor, view their whiteboard, and ask questions or communicate in the chat. Attend from the comfort of your own home or private office.
Live Virtual Training
5 Days Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

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Information may change without notice.

Customer Testimonials

Hensoldt: GEW Business Unit

Training was hands on, easy to follow & plenty of opportunities to interact & learn from Mark as well as other participants.

Audience

Programmers, UNIX/Linux System administrators and coders who want to learn to code with Python

Pre-Requisites

It is essential that you have had recent basic programming experience in any programming language (ie not just 10 years ago while at College and nothing since).  

If you don't, you must first complete our Introduction to Programming Course. This course will help you prepare for the Python Course.

Course Outline / Curriculum

  • Lexical Conventions and Syntax
    • Basic syntax
    • Variables
    • Operators
    • Division and Type Conversion
    • Augmented Assignment
    • Namespaces
  • Data types
    • Numbers
    • Strings
      • String manipulation
      • String operations
      • String methods
    • Lists
      • List notation
      • List creation shortcuts
      • Operations on lists
      • List Attributes
      • Combining lists
      • list slices
      • Comparing lists
      • Sorting lists
      • List methods
  • Dictionaries
    • Dictionary notation
    • Operations on Dictionaries
    • Combining two Dictionaries
    • Deleting from dictionary
  • Sets
    • Constructing Sets
    • Membership Testing
    • Removing Items
    • Iteration Over Sets
    • Set Operations
  • Flow control
    • Loops
      • For
      • While
      • Breaking, continue, else
    • Branches
  • Functions
    • Function calls
    • Defining functions
    • Declaring Arguments
    • Default Argument Values
    • Variable-Length Argument Lists
    • Closure
    • lambda
    • Scoping
  • Functional Programming
    • List Comprehensions
    • Genereator Expressions
    • Generator functions and Yield
  • Exceptions
    • Raising exceptions
    • Catching exceptions
    • Custom Exceptions
    • Trying over and over again
    • Recovering and continuing with finally
    • Built-in exception classes
  • Input and outputModules
    • Input
      • raw_input()
      • input()
      • File Input
      • File Objects
      • Standard File Objects
      • db files
      • csv files
    • Output
  • Classes
    • Defining a Class
    • Instance Construction
    • Class Members
    • Methods
    • Invoking Methods
    • Dynamic Class Structure
    • Viewing Class Dictionaries
    • Changing Class Dictionaries
    • New Style Classes
    • Properties
    • Static Methods
    • Inheritance
    • Special Methods
    • Initialization
  • Programming Practices
    • Encapsulation
    • Doc Strings
  • Regular Expression
    • Pattern objects
    • Matching and searching
    • Match objects
    • Replacing
  • GUI Programming
    • Tkinter
  • Sockets and ThreadingDatabase Programming
    • Socket server
    • Multi threading socket server

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