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Introduction to Python Training

COURSE TYPE

Foundation

Course Number

1905

Duration

4 Days
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Python is a powerful and flexible object-oriented scripting language that is designed for ease of use and enhanced productivity. In this training course, you gain the skills to achieve rapid development cycles, faster time-to-market, and lower cost of maintenance by developing applications using Python's language features, standard library modules, and third-party software packages.

Key Features of this Intro to Python Training:

  • Python training taught by a real-world Python programming expert
  • After-course instructor coaching benefit
  • After-course computing sandbox included
  • Learning Tree end-of-course exam included

You Will Learn How To

  • Rapidly develop feature-rich applications from Python's built-in statements, functions, and collection types
  • Structure code with classes, modules, and packages that leverage OO features
  • Create multiple data accessors to manage various data storage formats
  • Develop dynamic, platform-independent GUIs and data-driven web applications

Important Course Information

Python Introduction Course Description:

This introduction to Python course includes 23 hours of Instructor-Led Training (ILT) or Virtual Instructor-Led Training (VILT) presented by a real-world Python programming expert instructor.

Requirements:

  • Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or Perl
  • Familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code

Recommended Experience:

  • Familiarity with object-oriented concepts and languages

Industry Credits & Certification:

This course offers you the opportunity to earn the following industry credits and certifications

Course Outline

  • Introduction to Python
  • Python language characteristics
  • The Python execution model
  • Leveraging Python Built-in Types

Manipulating string and numeric literals

  • Declaring and initializing variables
  • Performing arithmetic calculations
  • Making decisions and performing iterations
  • Formatting and slicing strings

Aggregating related data

  • Accessing positional information in lists
  • Representing ordered data with tuples
  • Consistently handling data collections with iterators
  • Organizing and Structuring Code

Defining and calling functions

  • Positional, keyword and default arguments
  • Implementing variable-length argument lists
  • Iterating with generator functions

Grouping code into modules

  • Importing and packages
  • Referencing functions from modules by qualification
  • Accessing the Standard Library
  • Implementing Classes and Objects

Declaring and modifying objects

  • Encapsulating attributes and methods in classes
  • Initializing objects with constructors
  • Accessing and modifying attributes with methods
  • Overloading operators

Inheritance and polymorphism

  • Reusing functionality through inheritance
  • Extending methods from base classes
  • Overriding methods for dynamic behavior
  • Tracing the scope in the namespace
  • Enhancing functionality with class decorators
  • Manipulating the File System

Managing files

  • Reading and writing text and binary files
  • Importing the OS module for directory management

Increasing program robustness through handling exceptions

  • Maintaining program control with error handlers
  • Detecting errors and raising exceptions
  • Interfacing with Relational Databases

Establishing communication

  • Creating a SQL database connection
  • Instantiating cursors to access a database

Executing SQL statements within a Python program

  • Retrieving desired data sets
  • Updating the database with action statements
  • Constructing a GUI with Tkinter

Building the user interface

  • Defining GUI classes with Frames
  • Placing widgets and geometry managers
  • Displaying scrolling output

Listening for interface events

  • Responding to mouse clicks
  • Binding event handlers
  • Developing Web Applications

Analyzing the request processing pipeline

  • Positioning the role of Python
  • Mapping requests to Python scripts

Developing MVC with Python

  • Integrating the model with a database
  • Processing requests with Python controllers

Benefiting from the Django framework

  • Improving productivity with code reduction
  • Simplifying application development
  • Accessing the database and producing HTML with Django templates
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    Tuition due 30 days after you attend your course.

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    Tuition

    Standard

    Government

    In Classroom or
    Online

    Standard

    $3285

    Government

    $2890

    Private Team Training

    Contact Us »

    Course Tuition Includes:

    After-Course Instructor Coaching
    When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

    After-Course Computing Sandbox
    You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

    Free Course Exam
    You can take your Learning Tree course exam on the last day of your course or online any time after class.

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    Training Hours

    Standard Course Hours: 9:00 am – 4:30 pm
    *Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm

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