55284AC : Introduction to Python

You have seen some of Python’s built-in functions. In this lesson, you will learn to write your own.

Lessons

Defining Functions

Variable Scope

Global Variables

Function Parameters

Returning Values

Returning Values

Importing Modules

Methods vs. Functions

Lab 1: Exercises in this lesson

Exercise: A Function with Parameters

Exercise: Parameters with Default Values

After completing this module, students will be able to:

define functions with or without parameters

understand variable scope and how to import modules.

Python includes some built-in math functions and some additional built-in libraries that provide

extended math (and related) functionality. In this lesson, we’ll cover the built-in functions and the math and random libraries.

Lessons

Arithmetic Operators

Assignment Operators

Precedence of Operations

Built-in Math Functions

The math Module

The random Module

Lab 1: Exercises in this lesson

Exercise: Floor and Modulus

Exercise: How Many Pizzas Do We Need?

Exercise: Dice Rolling

After completing this module, students will be able to:

do basic math in Python

use the math and random modules for extended math functionality.

This module explains how to work with Python Strings.

Lessons

Quotation Marks and Special Characters

String Indexing

Slicing Strings

Concatenation and Repetition

Combining Concatenation and Repetition

Python Strings are Immutable

Common String Methods

String Formatting

Formatted String Literals (f-strings) (introduced in Python 3.6)

Built-in String Functions

Lab 1: Exercises in this lesson

Exercise: Indexing Strings

Exercise: Slicing Strings

Exercise: Repetition

Exercise: Playing with Formatting

Exercise: Outputting Tab-delimited Text

After completing this module, students will be able to:

• manipulate and format strings.

Iterables are objects that can return their members one at a time. The iterables we will cover in this lesson are lists, tuples, ranges, dictionaries, and sets.

Lessons

Definitions

Sequences

Lists

Sequences and Random

Tuples

Ranges

Converting Sequences to Lists

Indexing

Slicing

min(), max(), and sum()

Converting between Sequences and Strings

Unpacking Sequences

Dictionaries

The len() Function

Sets

*args and **kwargs

Lab 1: Exercises in this lesson

Exercise: Remove and Return Random Element

Exercise: Simple Rock, Paper, Scissors Game

Exercise: Creating a Dictionary from User Input

After completing this module, students will be able to:

understand lists, tuples, ranges, dictionaries, and sets.

understand the *args and **kwargs parameters.

A virtual environment provides a self-contained directory tree with its own Python installation and additional packages necessary for the project(s) being done in that environment. As such, scripts can be run in a virtual environment that have dependencies that are different from those in other development projects that may be running in the standard environment or in separate virtual

environments..

Lessons

Packages with pip

Lab 1: Exercises in this lesson

Exercise: Creating, Activiting, Deactivating, and Deleting a Virtual Environment

Exercise: Working with a Virtual Environment

After completing this module, students will be able to:

create and use virtual environments

install packages with pip.

This module explains how to change the flow by using conditional statements and loops.

Lessons

Conditional Statements

Compound Conditions

The is and is not Operators

all() and any() and the Ternary Operator

In Between

Loops in Python

break and continue

Looping through Lines in a File

The else Clause in Loops

The enumerate() Function

Generators

List Comprehensions

Lab 1: Exercises in this lesson

Exercise: All True and Any True

Exercise: Word Guessing Game

Exercise: for…else

After completing this module, students will be able to:

write if-elif-else conditions and to loop through sequences.

understand the enumerate() function, generators, and list comprehensions.

This module explains how to anticipate and handle exceptions gracefully.

Lessons

Exception Basics

Generic Exceptions

The else and finally Clauses

Using Exceptions for Flow Control

Raising Your Own Exceptions

Lab 1: Installing and Configuring Windows 7

Exercise: Raising Exceptions

Exercise: Running Sum

After completing this module, students will be able to:

handle Python exceptions.

This module explains how to use Python’s built-in modules to work with dates and times.

Lessons

Understanding Time

The time Module

Time Structures

Times as Strings

Time and Formatted Strings

Pausing Execution with time.sleep()

The datetime Module

datetime.datetime Objects

datetime.timedelta Objects

Lab 1: Exercises in this lesson

Exercise: What Color Pants Should I Wear?

Exercise: Report on Departure Times

After completing this module, students will be able to:

• work with the time and datetime modules

This module explains how to process files.

Lessons

Opening Files

Writing to Files

The os Module

os.walk()

The os.path Module

A Better Way to Open Files

Lab 1: Exericises in this lesson

Exercise: Finding Text in a File

Exercise: Writing to Files

Exercise: List Creator

Exercise: Comparing Lists

After completing this module, students will be able to:

• work with files and directories on the operating system

This module explains how to use the official Python style guide.

Lessons

• PEP8
• Pylint

Lab 1: Click here to enter text.

• Click here to enter text.

After completing this module, students will be able to:

understand the PEP8 coding standards and how to use Pylint to analyze your code.

A: The Introduction to Python training is ideal for individuals who are new to programming or have limited programming experience. It is suitable for aspiring developers, software engineers, data analysts, and anyone interested in learning Python for various applications, including web development, data analysis, automation, and scripting.

A: No prior programming experience is required to attend the Introduction to Python training. This course is designed for beginners and covers the basics of Python programming from scratch. However, having a general understanding of computer systems and familiarity with the concept of programming will be beneficial.

A: The training covers a wide range of topics, including Python syntax, variables and data types, control structures (such as loops and conditionals), functions and modules, file operations, error handling, and an introduction to object-oriented programming (OOP) concepts in Python.

A: The Introduction to Python training is typically delivered through instructor-led classroom sessions or virtual classrooms. It combines lectures, hands-on exercises, coding examples, and practical assignments to reinforce learning and understanding of Python programming concepts.

A: Yes, the Introduction to Python training provides a solid foundation in Python programming, which can be applied to real-world projects. Python is widely used for web development, data analysis, automation, scripting, and more. The skills acquired during the training can be utilized in various applications and projects.

A: Yes, the Introduction to Python training serves as a stepping stone for further learning and can prepare you for more advanced Python courses. It lays a strong foundation in Python programming, enabling you to grasp more complex concepts and dive deeper into advanced Python topics.

A: Yes, Python is one of the most popular and widely used programming languages in the world. It is highly versatile, with applications in web development, data analysis, artificial intelligence, machine learning, scientific computing, and more. Learning Python can open up numerous career opportunities in various industries.

A: This training can be customized to address specific organizational needs. We can discuss customization options based on your requirements.