• duration
    5 days
  • Hands-on
  • Award Winning

Masterly Level Python Knowledge

Python Master Programming

Geared for experienced users, this program 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.

Why Training Camp?

Training Camp has provided premier training and mentoring in advanced technologies since 1998. We offer an instructor average of 20-plus years of hands-on, real-world experience in application development and design, web development and design and a wide variety of IT technical skills and specialties.

What’s Included

Comprehensive Course Manual
Lab Manual Workbook
Remote Lab Environment
Code Sample Kit
Project Guide

Course Format

This hands-on class is approximately 50/50 lab to lecture ratio, combining engaging lecture, demos, group activities and discussions with comprehensive machine-based practical programming labs and project work.

Need dedicated training?

All courses can be brought onsite or produced online / virtually for a private presentation, customized to suit your unique learning requirements and delivered in a total turn-key, worry free manner for your team or organization. Our pricing is always cost effective, and your satisfaction is guaranteed.

Click to learn more about our group training.

As Featured On

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  • Award Winning Courseware

  • Hands-on Coding Labs

  • Featured on CNN, FOX News, MSNBC, Reuters

  • 98% Student Satisfaction Rate

Our ‘skills-driven’ courses are efficient, focused, current and comprehensive

Our experts target exactly the skills your team needs to succeed in their jobs, projects or roles, rather than taking a ‘laundry-list’ approach to training, which can often result in overtraining, course overload or overwhelmed students. We’ll work with you to define what it is you need to accomplish, and create the right program, training to those goals. Students of all skill levels will be able to hit the ground running with their new skills right after class ends, since the program was correctly designed from the start.

Python Master Programming

Session 1: 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

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
• Python Timeline
• Advantages/Disadvantages of Python
• Getting help with pydoc

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