Introduction to Python Training Course - Virtual Classroom

Is the Introduction to Python Training Course suitable for me?  

This python training course has been developed for individuals who are new to Python, or for those without much experience using this programming language.

As this is a foundation level course, there are no prerequisites to enrol onto this course. It would be beneficial if you have some understanding of programming, and other programming languages, although this is not essential.

What jobs can I apply for after my Introduction to Python training? 

Once you have completed your Python training, you will understand how Python works. Among a wide range of new skills, you will also be able to:  

•    Work with Python literals and comments.
•    Work with variables and Python data types.
•    Work with simple modules.
•    Output data with print().
•    Collect user input.
•    Define and call functions.
•    Work with parameters and arguments.
•    Use variable scope, and more.

There are a few jobs you can work in if you have experience with, and an understanding of, Python, including:

•    Data Analyst - £30k
•    Programmer - £31k
•    Python Developer - £46k
•    Product Manager - £50k

(Source: Payscale)

Python Syllabus

Learning Outcomes:

Work with Python, use variables, output data, collect user input, and write simple Python functions and modules.

•    Define functions with or without parameters
•    Understand variable scope and how to import modules.
•    Perform basic math in Python.
•    Use the math and random modules for extended math functionality.
•    Manipulate and format strings.
•    Understand lists, tuples, ranges, dictionaries, and sets.
•    Understand the *args and **kwargs parameters.
•    Create and use virtual environments.
•    Install packages with pip.

Python Basics

• Getting Familiar with the Terminal
• Running Python
• Running a Python File
• Literals
• Variables
• Constants and Deleting Variables
• Writing a Python Module
• print() Function
• Collecting User Input
• Reading from and Writing to Files
• Exercise: Working with Files

Functions and Modules

• Defining Functions
• Variable Scope
• Global Variables
• Function Parameters
• Returning Values
• Returning Values
• Importing Modules
• Methods vs. Functions

Maths

• Arithmetic Operators
• Assignment Operators
• Precedence of Operations
• Built-in Math Functions
• The math Module
• The random Module

Python Strings

• 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

Iterables:

• 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

Virtual Environments

• Packages with pip

Flow Control

• 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

Exception Handling

• Exception Basics
• Generic Exceptions
• The else and finally Clauses
• Using Exceptions for Flow Control
• Raising Your Own Exceptions

Python Dates and Times

• 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

File Processing

• Opening Files
• Writing to Files
• The os Module
• os.walk()
• The os.path Module
• A Better Way to Open Files

PEP8 and Pylint

• PEP8
• Pylint

Python Exam details 

There is no exam for this course.