Complete Python / Practical Python Programming Boot Camp

Hands-on, Mastering Python: Core Python Skills, Regular Expressions, Classes, OO, Binary Data, Network Services & More

TTPS4820

Introductory

5 Days

Course Overview

A core component of our Python Journey series, the Complete Python / Practical Python Boot Camp, is a highly rated training course that has helped thousands of students get up and running with solid, practical Python skills, enabling them to leverage Python on the job. You’ll be able to use Python to automate or simplify day to day common tasks with the use of Python scripts, or learn how to use Python for web development. You’ll have a solid foundation to build additional skills around using Python for analytics, data science or machine learning, or advanced web development.

This introductory-level course leads you from the basics of writing and running Python scripts, to more advanced core features such as file operations, regular expressions, working with binary data, as well as 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 you with an in-depth exploration of working with the programming language, not just an academic overview of syntax and grammar.  You’ll exit this course immediately able to use Python scripting to complete tasks in the real world.

This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.  Throughout the hands-on course, you’ll learn to write essential Python scripts using the most current and efficient skills, best practices and techniques. 

Working in a hands-on learning environment, guided by our expert team, you’ll 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

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional python, web development, data science, machine learning and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

 

Course Objectives

This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.  Throughout the hands-on course, you’ll learn to write essential Python scripts using the most current and efficient skills, best practices and techniques. 

Working in a hands-on learning environment, guided by our expert team, you’ll 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

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional python, web development, data science, machine learning and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

Course Prerequisites

This in an introductory-level Python course geared for experienced users who want to use Python in web development projects, or  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. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

Course Agenda

  1. Quick Intro to Python
  • What is Python?
  • Advantages/disadvantages
  • Python timeline
  • Installing Python
  • Getting help
  1. Setting up the Python Environment
  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Editors and IDEs
  1. Getting Started
  • Using variables
  • Builtin functions
  • String data
  • Numeric data
  • Converting types
  • Console input/output
  • Command line arguments
  1. Flow Control
  • About flow control
  • The if statement
  • Relational and Boolean values
  • while loops
  • Exiting from loops
  1. Array Types
  • Sequence types in general
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions and generators
  1. Working with files
  • File I/O overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  1. Dictionaries and Sets
  • About dictionaries
  • Creating dictionaries
  • Getting values
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets
  1. Functions
  • Defining functions
  • Returning values
  • Parameters and arguments
  • Variable scope
  1. Sorting
  • The sorted() function
  • Custom sort keys
  • Lambda functions
  • Sorting in reverse
  • Using min() and max()
  1. Errors and Exception Handling
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions
  1. Modules and Packages
  • Creating Modules
  • The import statement
  • Module search path
  • Using packages
  • Function and Module aliases
  1. Object Oriented Programming & Classes
  • About object-oriented programming
  • Defining classes
  • Constructors
  • Understanding self
  • Properties
  • Instance Methods and data
  • Class methods and data
  • Inheritance
  1. Regular Expressions
  • RE syntax overview
  • RE objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Search-and-replace
  • Splitting strings
  1. The standard library
  • The sys module
  • Math functions
  • Random numbers
  • Reading CSV data
  • Zip files
  • Reading pages and files from URLs
  • Sending email
  1. Dates and times
  • Date and time representations
  • Parsing dates from text
  • Formatting as text
  • Converting representations
  • Calendar data
  • Time zones
  1. Working with the file system
  • Paths, directories, and filenames
  • Checking for existence
  • Permissions and other file attributes
  • Walking directory trees
  • Using shutil for file operations
  1. Advanced data handling
  • Defaultdict and Counter
  • Pretty-printing data structures
  • Compressed archives (zip, gzip, tar, etc.)
  • Persistent data
  1. Network programming
  • Using requests
  • Grabbing web content
  • Sending email
  • Using SSH for remote access
  • Using FTP
  1. Writing real-life applications
  • Reading input files a la Unix
  • Parsing command-line options
  • Detecting the current platform
  • Implementing logging

Course Materials

Student Materials: Each participant will receive a digital Student Guide and/or Course Notes, code samples, software tutorials, step-by-step written lab instructions (as applicable), diagrams and related reference materials and resource links. Students will also receive the project files (or code, if applicable) and solutions required for the hands-on work.

Hands-On Setup Made Simple! Our dedicated tech team will work with you to ensure our ‘easy-access’ cloud-based course environment, or local installation, is accessible, fully-tested and verified as ready to go well in advance of the course start date, ensuring a smooth start to class and effective learning experience for all participants. In some cases we can also help you install this course locally if preferred. Please inquire for details and options.

Every-Course Extras = High-Value & Long-Term Learning Support! All Public Schedule courses include our unique EveryCourse Extras package (Course Recordings, Live Instructor Follow-on Support, Free *Live* Course Refresh Re-Takes, early access to Special Offers, Free Courses & more). Please inquire for details.

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Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.

Course Title Days Date Time Price
Complete Python / Practical Python Programming Boot Camp 5 Days Oct 17 to Oct 21 10:00 AM to 06:00 PM EST $2,295.00 Enroll
Complete Python / Practical Python Programming Boot Camp 5 Days Nov 14 to Nov 18 10:00 AM to 06:00 PM EST $2,295.00 Enroll
Complete Python / Practical Python Programming Boot Camp 5 Days Dec 12 to Dec 16 10:00 AM to 06:00 PM EST $2,295.00 Enroll

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