Python Level 1 Course

Course Description

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.

This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.

This is a hands-on programming course. All concepts are reinforced by informal practice during the session followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.

Who Should Attend

Users who want to learn Python and use it for application development, system administration, or just to automate tasks in a simple, yet powerful way.

Pre-Requisites

Python Level 1 Course

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Course Description

Module 1: About this Course

Welcome

 

Module 2: An Overview of Python

• What is Python?
• The Birth of Python
• Python Timeline
• About Interpreted Languages
• Advantages of Python
• Disadvantages of Python
• How to Get Python
• The end of 2.x
• Getting Help
• Pydoc
• Using Pydoc

 

Module 3: The Python Environment

Starting Python

If the Interpreter is Not in Your PATHs

Using the Interpreter

Trying Out a Few Commands

The help() Command

Running a Python Script

Python Scripts on Unix

Python Scripts on Windows

Python Editors and IDEs

 

Module 4: Getting Started

Using Variables

Keywords

Built-in Functions

Variable Typing

Strings

Single-delimited String Literals

Triple-delimited String Literals

Raw String Literals

Unicode Characters

String Operators and Methods

Numeric Literals

Math Operators and Expressions

Converting Among Types

Writing to the Screen

String Formatting

Command Line Parameters

Reading From the Keyboard

 

Module 5: Flow Control

About Flow Control

What's with the White Space

If and Elif

Conditional Expressions

Relational Operators

Boolean Operators

While Loops

Alternate Ways to Exit a Loop

 

Module 6 : Sequences

About Sequences

Lists

Tuples

Indexing and Slicing

Iterating Through a Sequence

Using Enumerate()

Functions for All Sequences

Keywords and Operators for All Sequences

The Range() Function

Nested Sequences

List Comprehensions

Generator Expressions

 

Module 7: Working with files

Text File I/O

Opening a Text File

The With Block

Reading a Text File

Writing to a Text File

Non-Delimited (Raw) Data

 

Module 8: Dictionaries and Sets

About Dictionaries

When to Use Dictionaries

Creating Dictionaries

Getting Dictionary Values

Iterating Through a Dictionary

Reading File Data into a Dictionary

Counting with a Dictionary

About Sets

Creating Sets

Working with Sets

 

Module 9: Functions

Defining a Function

Function Parameters

Returning Values

Variable Scope

 

Module 10 : Sorting

Sorting

The Sorted() Function

Alternate Keys

Lambda Functions

Sorting Nested Data

Sorting Dictionaries

Sorting in Reverse

Sorting Lists in Place

 

Module 11: Using Modules

Regular Expressions

RE Syntax Overview

RE Objects

Searching for Patterns

Matching Without Re Objects

Compilation Fags

Grouping

Special Groups

Replacing Text

Splitting a String

 

Module 12: Using the Standard Library

The Sys Module

Interpreter Information

STDIO

Launching External Programs

Paths, Directories, and Filenames

Walking Directory Trees

Grabbing Web Pages

Sending E-Mail

Math Functions

Random Values

Dates And Times

Zipped Archives

 

Module 13: An Introduction to Python Classes

About O-O Programming

Defining Classes

Initializers

Instance Methods

Properties

Class Methods and Data

Static Methods

Private Methods

Inheritance

Untangling the Nomenclature

 

Module 14: Bonus Exercises

Appendix A: Bibliography

Appendix B: Python Gotchas

Appendix C: String Formatting

 

Our goal is to make sure your training meets your objectives, not ours. Therefore, all of our outlines are used as guidelines for particular courses. This outline does not guarantee that all the topics listed will be covered in the time allowed. The amount of material covered is based on the skill level of the student audience. We may change or alter course topics to best suit the classroom situation.

Sorry, we currently do not have any public courses scheduled for the Python level 2 course. Please contact us to see if we can put one on the schedule for you

Sorry, we currently do not have any public courses scheduled for the Python level 2 course. Please contact us to see if we can put one on the schedule for you

Python Level 2 Course

Course Description

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.

This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.

This is a hands-on programming course. All concepts are reinforced by informal practice during the session followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.

Who Should Attend

Users who want to learn Python and use it for application development, system administration, or just to automate tasks in a simple, yet powerful way.

Pre-Requisites

Python Level 2 Course

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Module 1: Python Refresher

Sorry, we currently do not have any public courses scheduled for the Python level 2 course. Please contact us to see if we can put one on the schedule for you

Sorry, we currently do not have any public courses scheduled for the Python level 3 course. Please contact us to see if we can put one on the schedule for you

Python Level 3 Course

Course Description

In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as IPython Notebook, the Collections module, mapping and filtering, lamba functions, advanced sorting, writing object-oriented code, testing and debugging, NumPy, pandas, matplotlib, regular expressions, Unicode, text encoding and working with databases, CSV files, JSON and XML.

This advanced Python course is taught using Python 3, however, differences between Python 2 and Python 3 are noted.

Who Should Attend

Students already familiar with Python programming and who are wanting to learn the advanced coding in Python.

Prerequisites

Python Level 3 Course

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