Mastering Python Programming

Course ID

32300

Course Description

Geared for experienced users, Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that 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 comprehensive, practical course provides an in-depth exploration of working with the 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.

Prerequisites

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.

Audience

Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

Course Content

    An Overview of Python
  • What is python?
  • 1 -- An overview of Python
  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc
    The Python Environment
  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs
    Getting Started
  • Using variables
  • Built in functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters
    Flow Control
  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits
    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
    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
    Dictionaries and Sets
  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets
    Functions
  • Defining functions
  • Parameters
  • Global and local scope
  • Nested functions
  • Returning values
    Sorting
  • The sorted() function
  • Alternate keys
  • Lambda functions
  • Sorting collections
  • Using operator.itemgetter()
  • Reverse sorting
    Errors and Exception Handling
  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions
    Modules and Packages
  • The import statement
  • Module search path
  • Creating Modules
  • Using packages
  • Function and Module aliases
    Classes
  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data
    Regular Expressions
  • RE syntax overview
  • RE Objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Replacing text
  • Splitting strings
    The standard library
  • The sys module
  • Launching external programs
  • Math functions
  • Random numbers
  • The string module
  • Reading CSV data
    Dates and times
  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data
    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
    Advanced data handling
  • Defaultdict and Counter
  • Prettyprinting data structures
  • Compressed archives (zip, gzip, tar, etc.)
  • Persistent data
    Network services
  • Grabbing web content
  • Sending email
  • Using SSH for remote access
  • Using FTP
    Writing real-life applications
  • Parsing command-line options
  • Detecting the current platform
  • Trapping signals
  • Implementing logging
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc

For More Information

For training inquiries, call 850-308-1376

or email us at eramos@gbsi.com

Course Details

Duration - 5 days
Price - $2595.00 USD


(Discounts may apply. Call for more information.)

Course Actions

Schedule

Acceletrain Collaborative Learning Environment (formerly know as VILT) places industry certified and expert instructors, peers, learners and multi-media components into a "borderless classroom", and interactive learning environment that can span multiple physical locations. VILT combines the benefits of the traditional brick-and-mortar classroom with innovative learning techniques and the cost savings of internet-based training.