Python Programming Basics with REST (For New Developers)

Learn to Think Like a Developer | Write and Run Script, Work with Python REST Clients, Python Modules & More

TTPS4814

Introductory

4 Days

Course Overview

Python Programming Basics with REST is a basic-level hands-on Python training course that leads the student from the basics of “thinking” as a Software Developer into writing and running Python scripts to more advanced features such as Python REST client, operations, 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.

Course Objectives

This skills-focused combines expert lecture, real-world demonstrations and group discussions with plenty of machine-based practical labs and exercises.  Working in a hands-on learning environment led by our expert practitioner, attendees will learn to:

  • Think as a Software Developer, including coding logic and structures
  • Create working Python scripts following best practices
  • Use python data types appropriately
  • Read and write files with both text and binary data
  • Get familiar with the standard library and its work-saving modules
  • Use lesser known but powerful Python data types
  • Create "real-world", professional Python REST client 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, web services, data science, machine learning and other related topics that may be blended with this course for a track that best suits your needs.

 

Course Prerequisites

This in a basic-level Python course geared for student who are new to Software Development and use Python in 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.

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.

  1. An overview of Software Development
  • Thinking as a developer
  • Pseudocode as a design tool
  • Analysis – Understanding the problem
  • Design – creating the solution
  1. An overview of Python
  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc
  1. The Python Environment
  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs
  1. Getting Started
  • Using variables
  • Builtin functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters
  1. Flow Control
  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits
  1. Array types
  • About array types (AKA sequences)
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Nested sequences
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator Expressions
  1. Working with files
  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  1. Dictionaries and Sets
  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets
  1. Functions
  • Defining functions
  • Parameters 
  • Global and local scope
  • Nested functions
  • Returning values
  1. Sorting
  • The sorted() function
  • Alternate keys
  • Lambda functions
  • Sorting collections
  • Using operator.itemgetter()
  • Reverse sorting
  1. Errors and Exception Handling
  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions
  1. Modules and Packages
  • The import statement
  • Module search path
  • Creating Modules
  • Using packages
  • Function and Module aliases
  1. Classes
  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data
  1. The standard library
  • The sys module
  • Launching external programs
  • Math functions
  • Random numbers
  • Reading CSV data
  1. Dates and times
  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data
  1. Network programming
  • Using requests
  • Grabbing web content
  1. Writing REST Clients
  • Analysis – Understanding the REST Server API
  • Design – Creating the solution
  • Classes as data containers
  • Modules as function containers
  • Creating the REST Client package

Course Materials

Hands-on Setup Made Simple!  All course software (limited versions, for course use only), courseware files, hands-on lab guides, labs and solutions, data sets and resources (as applicable) are provided for you in our “easy access / no install required” high-speed remote lab environment.  In most cases, we can also offer local (non-cloud) set up as an alternative. Either way, our dedicated live tech team works with every student to ensure everyone is set up with working access and ready to go prior to every course start date, ensuring a smooth delivery and great hands-on experience. All your coursework can be accessed or downloaded after class, so you never lose your work or materials. Please ask for details.

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