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Python 1: Beginning Python

Python Programming for the Beginning or Intermediate Student

Python is a popular interpreted programming language used by many large companies - Google, O'Reilly, YouTube, Yahoo, CERN and NASA to name a few. Python is fast and has numerous libraries and modules you can use to accomplish just about anything.

In this course, students will learn the basics of programming with Python. Using the Ellipse™ integrated learning environment, students learn about expressions, variables, conditionals, loops, lists, sets, dicts, functions, objects and exceptions. By the end of the course, students are ready to build and work on entire programs written in Python. Besides a browser and internet connection, all software is provided online by the O'Reilly School of Technology.

Upon completion of the course, students will earn 4 CEUs (Continuing Education Units) and a CEU letter from the University of Illinois Office of Continuing Education. This is the first course in the upcoming Python Programming Certificate series.

Free ebooks & software included. Click for info on Lab Fees

Python 1: Beginning Python

398.00

Course Details and Syllabus

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Course Details and Syllabus


Course:	Python 1: Beginning Python
Tuition:	$398
Time Frame:	Due to our monthly lab fee system, this course is completely self-paced. You can expect to work approximately 40 hours on this course.
Technical Requirements:	As long as you have a web browser and internet connection, you can take this course from anywhere in the world.
CEUs:	4 Continuing Education Units with official letter from the University of Illinois Office of Continuing Education.
Software:	The Ellipse Learning Sandbox^® provided for you will contain all your lessons, projects, quizzes, account files, editors, and compiling tools necessary to build your skills from beginning to end, even beyond coursework. No other software is needed.
Instructor:	You will have one instructor throughout the course who will evaluate your projects and quizzes, hand them back for improvement when necessary, and coach you throughout your skills advancement.
Book:	All required course materials and software are included online within the Learning Sandbox^®. However, within a few weeks of enrolling, you'll receive the free ebook Python in a Nutshell, Second Edition as a complimentary reference from O'Reilly.
Certificates:	Completion of this course counts toward the upcoming Python Programming Certificate Series.
Prerequisites:	None.
Topics:	Data Types, Namespaces, Conditional Statements, Sequence Containers, Sets, Dicts, String Formatting, Loops, Reading and Writing Files, Functions, The Python Standard Library, Classes, Objects, Methods, etc.
Syllabus:	Python 1 Lab 1 -- Getting Started Python History Lesson Format Writing Your First Program Data In Python Python 1 Lab 2 -- Entering and Storing Data Binding Values to Names More Python Syntax Basics Reading and Converting User Input Calculating with Stored Values Python 1 Lab 3 -- Making Decisions: The if Statement Conditions in Python Making Decisions: Simple if Statements Choosing Between Alternatives: the else Clause Multiple Choice Decisions Combining Conditions: 'and' and 'or' Testing For a Range of Values: Chaining Comparisons Python 1 Lab 4 -- Iteration: For and While Loops A Simple For Loop Breaking Out of a Loop While Loops Terminating the Current Iteration Python 1 Lab 5 -- Sequence Containers: Lists and Tuples Writing Lists and Tuples Accessing Sequence Values Modifying Lists Slices With a Stride: Skipping Around Sequences Some Other Functions and Methods to Work with Sequences Testing for Presence in a Sequence Manipulating Lists and Tuples Python 1 Lab 6 -- Sets and Dicts Creating Sets Working With Sets Working with Dicts Applying Dicts: Counting Words A More Complex Application: Word Pair Frequencies Python 1 Lab 7 -- String Formatting The format() Method Function Arguments Format Field Names Format Specifications Python 1 Lab 8 -- More About Looping Fun with the range() function Using the enumerate function While Loops and User Input Validation. Dicts and loops Python 1 Lab 9 -- Reading and Writing Files Creating a New File Writing to a File Reading Files as Text Appending to a File Seeking to Arbitrary Positions Python 1 Lab 10 -- Python's Built-In Functions abs(x) all(iterable) any(iterable) bool(x) chr(i) ...and more!! Python 1 Lab 11 -- Defining and Calling Your Own Functions Parameters and arguments Returning values Multiple return values Functions and Namespaces Python 1 Lab 12 -- The Python Standard Library Namespaces Python Modules Importing Modules The System Path Python 1 Lab 13 -- More about functions Arbitrary Keyword Parameters Parameters, Sequence-parameters and Dict-parameters Importing Functions and help() Python 1 Lab 14 -- Classes and Object-Oriented Programming The Nature of Objects Defining Your Own Object Classes Class and Instance Namespaces Defining Object Behavior Defining Behavior as Methods Python Deep Magic: Hooking Into Python's Class Mechanism Python 1 Lab 15 -- Exception Handling How to Catch an Exception Verifying Numeric Input Handling Multiple Exception Types Handling Multiple Exceptions with One Handler Raising Exceptions Specific and Generic exceptions When and When Not to Use Exceptions Python 1 Lab 16 -- Building and Debugging Whole Programs The Art of Computer Programming Program Complexity Agile Programming Documenting and Testing Python Code

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