Course Outline
Python is a powerful & popular programming language used in many computer science areas. However, it is an easy language to learn. This four-day course concentrates on the Python programming language and many libraries. From basic procedural syntax to sophisticate object-oriented programming techniques, delegates will learn how to write Python
Upcoming Meetings
Modules
Introduction to Python
- Strengths and Weaknesses
- A Brief History of Python
- Python Versions
- Installing Python
- Environment Variables
- Executing Python from the Command Line
- IDLE
- Editing Python Files
- Getting Help
- Dynamic Types
- Python Reserved Words
- Naming Conventions
Basic Python Syntax
- Introduction
- Basic Syntax
- Comments
- String Values
- String Operations
- The format Method
- String Slices
- String Operators
- Numeric Data Types
- Conversions
- Simple Input and Output
- The print Function
Language Components
- Introduction
- Control Flow and Syntax
- Indenting
- The if Statement
- Relational Operators
- Logical Operators
- True or False
- Bit Wise Operators
- The while Loop
- break and continue
- The for Loop
Collections
- Introduction
- Lists
- Tuples
- Sets
- Dictionaries
- Sorting Dictionaries
- Copying Collections
- Summary
Functions
- Introduction
- Defining Your Own Functions
- Parameters
- Function Documentation
- Keyword and Optional Parameters
- Passing Collections to a Function
- Variable Number of Arguments
- Scope
- Functions - "First Class Citizens"
- Passing Functions to a Function
- Mapping Functions in a Dictionary
- Lambda, Closures
Modules
- Overview
- Standard Modules - math
- Standard Modules – time
- Standard Modules – Random
Exceptions
- Errors
- Run Time Errors
- The Exception Model
- Exception Hierarchy
- Handling Multiple Exceptions
- raise
- assert
- Writing Your Own Exception Classes
Connecting to and transforming data with Pandas
- Working with Series and Data frames
- Connecting to files, APIs and Databases
- Filtering and sorting data
- Exporting data to text & Excel files
- Grouping data and performing statistics
- Merging different datasets
Prerequisites
- No previous knowledge of Python is assumed, although delegates should be familiar with at least one programming language
- Experience of another scripting language will be an advantage, as will previous experience of object-oriented programming
Upcoming Meetings
Python scripts and applications with code that is robust, maintainable and efficient”Download Full Syllabus