Python Programming Basics with REST (For New Developers)

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.

Retail Price: $3,500.00

Next Date: Request Date

Course Days: 4


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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

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.


Course Outline

  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

 



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