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Python Fundamentals Training for Non-Programmers

Course 1904

  • Duration: 2 days
  • Labs: Yes
  • Language: English
  • Level: Foundation
Get This Course £1,345
  • 2-day instructor-led training course
  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
#1904
  • Sep 26 - 27 2:00 PM - 9:30 PM BST
    Ottawa or AnyWare
  • Oct 17 - 18 2:00 PM - 9:30 PM BST
    New York or AnyWare
  • Nov 7 - 8 2:00 PM - 9:30 PM GMT
    Herndon, VA or AnyWare
  • Nov 22 - 23 9:00 AM - 4:30 PM GMT
    London or AnyWare
  • Dec 19 - 20 2:00 PM - 9:30 PM GMT
    Ottawa or AnyWare
  • Jan 17 - 18 2:00 PM - 9:30 PM GMT
    New York or AnyWare
  • Feb 6 - 7 2:00 PM - 9:30 PM GMT
    Herndon, VA or AnyWare
  • Feb 21 - 22 9:00 AM - 4:30 PM GMT
    London or AnyWare
  • Mar 20 - 21 1:00 PM - 8:30 PM GMT
    Ottawa or AnyWare
  • Apr 17 - 18 2:00 PM - 9:30 PM BST
    Herndon, VA or AnyWare
  • May 15 - 16 2:00 PM - 9:30 PM BST
    New York or AnyWare
  • May 23 - 24 9:00 AM - 4:30 PM BST
    London or AnyWare
  • Jun 20 - 21 2:00 PM - 9:30 PM BST
    Ottawa or AnyWare

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This hands-on course is intended for those individuals with little or no software development experience. Starting with the most fundamental elements, this training evolves your skills to produce complete computer applications including the user interface, business logic and data access layers. During the course, attendees will write code using Python, one of the most popular modern languages and highly suitable for beginners. In addition, comparisons with other languages such as Java and C# will be discussed. Development techniques include requirements, design, code generation, testing and debugging. You gain all the pre-requisite skills necessary to carry on to more language-specific training appropriate for the type of applications needed by your organisation be they data science, web development, embedded real-time systems or other.

Learning Tree Exam available at the end of class.

Python Fundamentals Training for Non-Programmers Delivery Methods

  • After-Course Instructor Coaching
  • Hands-On Labs Included

Python Fundamentals Training for Non-Programmers Course Benefits

  • Demonstrate the fundamental aspects of modern programming
  • Design and implement an application using Python
  • Write cohesive object-oriented logic (classes and libraries)
  • Leverage integrated development tools for code editing, execution, testing, and debugging
  • Access data files to save and restore persistent information
  • Distinguish between Python and other languages such as C# or Java

Python Fundamentals Training for Non-Programmers Outline

Principles of Programming
  • How computers solve problems
  • Language types and evolution
  • Procedural logic
  • Object Orientation
  • Bugs and other challenges
Syntax and Semantics
  • About Python
  • Statements and comments
  • Literals, Variables and Data Types
  • Collection Types
  • Expressions and Operators
  • Strings, Concatenation, and type conversion
  • Demo – accessing exercise computers and Py
  • Hands-On Exercise – First Python program using Py
Program Layout and Organisation
  • Modules and Packages
  • Integrated Development Environments (IDEs)
  • Introduction to Eclipse and PyDev
  • The course case study
  • Demo – Using Eclipse
  • Hands-On Exercise – Creating a Python Program with PyDev
Making Decisions with Conditionals
  • if/elif/else statements
  • Criteria expressions
  • in and not in
  • Hands-On Exercise 3.1 – Conditional Logic
Repeating Program Logic with Loops
  • Counting loops and for/Range
  • For-each Loops
  • Iterating a List
  • Loop control
  • break and continue
  • Hands-On Exercise 3.2 – Programming loops
Writing and Calling Functions
  • Function definition
  • return statement
  • Accepting parameters
  • Returning results
  • Importing modules and functions
  • Cross-module calls
  • Calling library functions
  • Hands-On Exercise 3.3 – Writing Functions
Why Object Oriented?
  • Challenges with purely procedural code
  • Global variables – not the solution
  • Principles and style of object orientation
Classes and Objects
  • Defining classes
  • Properties vs local variables
  • Methods vs functions
  • Creating objects
  • Object state and instance data
  • Discussion – object needs of the case study
  • Hands-On Exercise – Defining Classes
Encapsulation and Constructors
  • Why encapsulate?
  • Specifying Private properties and methods
  • Access from external modules
  • Purpose of __init__(self) method
  • Constructor parameters for required data
  • Discussion – case study object-oriented design
  • Hands-On Exercise – Encapsulation and Constructors
Code Quality and Testing
  • Discussion – Don’t you just hate when a program does…
  • Improving the user experience
  • Optional Hands-On Exercise – User interface improvement
Graphical UI Frameworks
  • 3-layer model
  • What is a framework?
  • Framework choices
  • GUI Philosophy
  • Why Tkinter (tinker)
Windows, Frames and Widgets
  • Familiar widgets – from labels to radio buttons
  • The GUI class structure and layout
  • Adding widgets to a form
  • Geometry manager
  • pack(), vs grid() vs place()
  • Adding widgets to a frame
  • Adding a frame to a window
  • Using grids – automatic rows and columns
  • Tk Choice properties
  • Radio button example
  • Hands-On Exercise – Laying out a GUI for the case study
Events and Event Binding
  • Philosophy of event-driven programming
  • Event types
  • Binding to events using bind()
  • Button click event
  • Keyboard enter-key event
  • Choice widget command options
  • Command response function vs event method
  • Discussion – An event has happened, now what?
  • Hands-On Exercise – Adding events for the case study.
Accessing Files
  • Types of data input
  • Flat vs serialisation vs big data vs database
  • I/O streams
  • Opening modes – read, write and append
  • New files vs appending
  • Reading/writing binary, raw and character data
  • Handling exceptions
  • Preventing exceptions
Manipulating the file system
  • Deleting, renaming and checking file existence
  • path and path.exists examples
  • Hands-On Exercise – Reading and writing a user historical log
About Relational Databases
  • Why is it relational?
  • Primary and foreign keys
  • Tables and joins
  • SQL Language
  • Non-procedural approach
Comparison of Python to other languages
  • Java and C# features
  • Similar concepts, different syntax
Code and Program Quality
  • What makes a good user experience
  • What is quality code
Next Steps
  • For more on Python
  • For more on Java or C#
Objectives
  • Review of course topics

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Course FAQs

Yes! Many traditional, non-technical, jobs are being replaced by software developer roles. If you are being asked to, or considering, moving to one of these roles, you will have to demonstrate pre-requisite programming knowledge, and this is the perfect class for that!

Yes! Often managers are bewildered by the technical terms and processes of what they are supervising. This class provides a high-level conceptual understanding of the major aspects of software development, including its terminology and processes.