Mastering Python Programming Training

This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.

5 days

Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:

• Create working Python scripts following best practices
• Use python data types appropriately
• Read and write files with both text and binary data
• Search and replace text with regular expressions
• Get familiar with the standard library and its work-saving modules
• Use lesser-known but powerful Python data types
• Create "real-world", professional Python applications
• Work with dates, times, and calendars
• Know when to use collections such as lists, dictionaries, and sets
• Understand Pythonic features such as comprehensions and iterators
• Write robust code using exception handling

Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is “skills-centric”, designed to train attendees in essential Python and web development skills, coupling the most current, effective techniques with best practices. Students will explore:

• Running Python Scripts
• Getting Started
• Flow Control
• Sequence Data
• Defining Functions
• Working with Files
• Dictionaries and Sets
• Errors and Exception Handling
• Using Modules
• Regular Expressions
• Highlights of the Standard Library
• Introduction to Python Classes
• Real-life programming
• Special data types
• Network services
• Dates and times

Outline of Mastering Python Programming Training Session 1: An Overview of Python

• What is python?
• 1 -- An overview of Python
• Python Timeline
• Advantages/Disadvantages of Python
• Getting help with pydoc

Session 2: The Python Environment

• Starting Python
• Using the interpreter
• Running a Python script
• Python scripts on Unix/Windows
• Editors and IDEs

Session 3: Getting Started

• Using variables
• Builtin functions
• Strings
• Numbers
• Converting among types
• Writing to the screen
• Command line parameters

Session 4: Flow Control

• About flow control
• White space
• Conditional expressions
• Relational and Boolean operators
• While loops
• Alternate loop exits

Session 5: Sequences

• About sequences
• Lists and list methods
• Tuples
• Indexing and slicing
• Iterating through a sequence
• Sequence functions, keywords, and operators
• List comprehensions
• Generator Expressions
• Nested sequences

Session 6: Working with files

• File overview
• Opening a text file
• Reading a text file
• Writing to a text file
• Reading and writing raw (binary) data
• Converting binary data with struct

Session 7: Dictionaries and Sets

• About dictionaries
• Creating dictionaries
• Iterating through a dictionary
• About sets
• Creating sets
• Working with sets

Session 8: Functions

• Defining functions
• Parameters
• Global and local scope
• Nested functions
• Returning values

Session 9: Sorting

• The sorted() function
• Alternate keys
• Lambda functions
• Sorting collections
• Using operator.itemgetter()
• Reverse sorting

Session 10: Errors and Exception Handling

• Syntax errors
• Exceptions
• Using try/catch/else/finally
• Handling multiple exceptions
• Ignoring exceptions

Session 11: Modules and Packages

• The import statement
• Module search path
• Creating Modules
• Using packages
• Function and Module aliases

Session 12: Classes

• About o-o programming
• Defining classes
• Constructors
• Methods
• Instance data
• Properties
• Class methods and data

Session 13: Regular Expressions

• RE syntax overview
• RE Objects
• Searching and matching
• Compilation flags
• Groups and special groups
• Replacing text
• Splitting strings

Session 14: The standard library

• The sys module
• Launching external programs
• Math functions
• Random numbers
• The string module
• Reading CSV data

Session 15: Dates and times

• Working with dates and times
• Translating timestamps
• Parsing dates from text
• Formatting dates
• Calendar data

Session 16: Working with the file system

• Paths, directories, and filenames
• Checking for existence
• Permissions and other file attributes
• Walking directory trees
• Creating filters with fileinput
• Using shutil for file operations

Session 17: Advanced data handling

• Defaultdict and Counter
• Prettyprinting data structures
• Compressed archives (zip, gzip, tar, etc.)
• Persistent data

Session 18: Network services

• Grabbing web content
• Sending email
• Using SSH for remote access
• Using FTP

Session 19: Writing real-life applications

• Parsing command-line options
• Detecting the current platform
• Trapping signals
• Implementing logging