Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development—all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

In this course, you will develop simple command-line programs in Python. You will:
Set up Python and develop a simple application.
Declare and perform operations on simple data types, including strings, numbers, and dates.
Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.
Write conditional statements and loops.
Define and use functions, classes, and modules.
Manage files and directories through code.
Deal with exceptions.

1

  • LESSON 1: SETTING UP PYTHON AND DEVELOPING A SIMPLE APPLICATION

  • Topic A: Set Up the Development Environment

    Topic B: Write Python Statements

    Topic C: Create a Python Application

    Topic D: Prevent Errors

2

  • LESSON 2: PROCESSING SIMPLE DATA TYPES

  • Topic A: Process Strings and Integers

    Topic B: Process Decimals, Floats, and Mixed Number Types

3

  • LESSON 3: PROCESSING DATA STRUCTURES

  • Topic A: Process Ordered Data Structures

    Topic B: Process Unordered Data Structures

4

  • LESSON 4: WRITING CONDITIONAL STATEMENTS AND LOOPS IN PYTHON

  • Topic A: Write a Conditional Statement

    Topic B: Write a Loop

5

  • LESSON 5: STRUCTURING CODE FOR REUSE

  • Topic A: Define and Call a Function

    Topic B: Define and Instantiate a Class

    Topic C: Import and Use a Module

6

  • LESSON 6: WRITING CODE TO PROCESS FILES AND DIRECTORIES

  • Topic A: Write to a Text File

    Topic B: Read from a Text File

    Topic C: Get the Contents of a Directory

    Topic D: Manage Files and Directories

7

  • LESSON 7: DEALING WITH EXCEPTIONS

  • Topic A: Handle Exceptions

    Topic B: Raise Exceptions

Audience

This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development.

Language

English

Prerequisites

Some experience programming in an object-oriented language is helpful, but even if you don't have such experience, this course can be useful to those that are new to programming. To ensure your success in the course, you should have at least a foundational knowledge of personal computer use. You can obtain this level of skills and knowledge by taking a course such as: Using Microsoft Windows® 10 Microsoft Windows 10: Transition from Windows 7

$1,090

Length: 2.0 days (16 hours)

Level:

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