Description
Description
Despite its nearly thirty-year existence, Python® has emerged as one of the most sought-after languages for software development, particularly within domains such as data science, machine learning, artificial intelligence, and web development—areas where Python enjoys widespread adoption. Whether you’re new to programming or bring experience from other programming languages, this course offers a comprehensive introduction to the Python programming language, serving as an excellent starting point for beginners or as a solid foundation for further exploration.
Throughout the course, you’ll gain insights into various aspects of the Python 3 language and development methodologies. You’ll accomplish this by constructing a fully-fledged program capable of executing diverse operations across a multitude of data types, structures, and objects. Additionally, you’ll master techniques for implementing program logic using conditional statements and loops, structuring code for enhanced reusability through functions, classes, and modules, handling file input/output operations, and managing error conditions effectively.
Training Objectives
- 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.
Course Outline
- Lesson 1: Setting Up Python and Developing a Simple Application<br />
- Topic A: Set Up the Development Environment<
- Topic B: Write Python Statements<
- Topic C: Create a Python Application<
- Topic D: Prevent Errors<
- Lesson 2: Processing Simple Data Types<br />
- Topic A: Process Strings and Integers<
- Topic B: Process Decimals, Floats, and Mixed Number Types<
- Lesson 3: Processing Data Structures<br />
- Topic A: Process Ordered Data Structures<
- Topic B: Process Unordered Data Structures<
- Lesson 4: Writing Conditional Statements and Loops in Python<br />
- Topic A: Write a Conditional Statement<
- Topic B: Write a Loop<
- Lesson 5: Structuring Code for Reuse<br />
- Topic A: Define and Call a Function<
- Topic B: Define and Instantiate a Class<
- Topic C: Import and Use a Module<
- Lesson 6: Writing Code to Process Files and Directories<br />
- 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<
- Lesson 7: Dealing with Exceptions<br />
- Topic A: Handle Exceptions<
- Topic B: Raise Exceptions<
- Appendix A: Major Differences Between Python 2 and 3<
- Appendix B: Python Style Guide<
- Appendix C: Mapping Python Course Content to Python Institute Certification Exams
