Python Programming Primer / Quick Start to Python

Hands-On Quick Introduction to Python Basics for Experienced Scripters / Developers

TT4802

Introductory

2 Days

Course Overview

Python Programming Primer / Quick Start to Python is a basic level course that provides experienced developers new to Python with basic skills needed to start using Python on the job to perform simple scripts and basic task automation.  This course also serves a quick introduction to Python for technical team members or users new to Python who want to get started quickly without needing a lot of depth.  Students seeking more robust hands-on training, more extensive core Python coverage or deeper skills acquisition might wish to attend another more lab-intensive course from our extensive Python training suite.

In order to do the hands-on labs, students are required to have incoming familiarity with a programming or scripting language, as this course does not teach basic programming. Students who are non-developers may attend as more of a survey course to get an overview of Python as opposed to gaining live programming skills. 

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 students will learn to write essential Python scripts using the most current and efficient skills and techniques. 

 

Working in a hands-on learning environment, guided by our expert team, attendees will explore:

  • Uses for Python in software development, testing and systems administration environments
  • How to develop basic Python applications for a variety of uses
  • Packaging and distribution of Python applications and modules

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 basic level course provides an excellent kick start for users new to Python, enabling them to use basic Python skills on the job in a variety of ways.  Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, Python for data science / machine learning or Python for systems admin or networking support.

 

In order to get the most out of this course, students should have basic familiarity with any other programming or scripting language, as basic scripting isn’t covered in this agenda. Students should have a working, user-level knowledge of Unix/Linux, Mac, or Windows.  

Our Python tracks include a wide variety of follow-on courses and learning paths for leveraging Python for next-level web development, data science / machine learning, networking, task automation, security and other topics. Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Follow-On Courses and Learning Path recommendations.

Course Agenda

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs may adjust during live delivery based on audience interests, skill-level and participation.

Day One

Session:  An Overview of Python

  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc

Session:  The Python Environment

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

Session:  Getting Started

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

Session: Flow Control

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

Session: 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

Day Two

Session:  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:  Dictionaries and Sets

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

Session:  Functions

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

Session:  Sorting

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

Session:  Errors and Exception Handling

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

Bonus Sessions / Time-Permitting

Session:  Modules and Packages

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

Session:  Regular Expressions

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

Session:  The standard library

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

Session:  Introduction to Object Oriented Classes

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

Course Materials

Course Materials: Each student will receive a Student Guide with course notes, code samples, software tutorials, step-by-step written lab instructions, diagrams and related reference materials and links (as applicable). 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 your student machines and learning environment is setup, tested and ready to go well in advance of the course delivery date, ensuring a smooth start to class and seamless hands-on experience for your students. We offer several flexible student machine setup options including guided manual set up for simple installation directly on student machines, or cloud based / remote hosted lab solutions where students can log in to a complete separate lab environment minus any installations, or we can supply complete turn-key, pre-loaded equipment to bring ready-to-go student machines to your students or in-person facility. 

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