Learn Programming in Python with Cody Jackson

Table of contents

1. Title Page
2. Copyright and Credits
   1. Learn Programming in Python with Cody Jackson
3. About Packt
   1. Why subscribe?
   2. Packt.com
4. Contributors
   1. About the author
   2. About the reviewers
   3. Packt is searching for authors like you
5. Preface
   1. Who this book is for
   2. What this book covers
   3. To get the most out of this book
      1. Download the example code files
      2. Download the color images
      3. Conventions used
   4. Get in touch
      1. Reviews
6. The Fundamentals of Python
   1. What is Python?
      1. Python versions
      2. Interpreted versus compiled
      3. Dynamic versus static
         1. Python 2 versus Python 3 division
   2. Working with Python
      1. Installation
      2. Launching the Python interpreter
         1. Windows (Win8 and above)
         2. Mac
      3. Using the Python command prompt
   3. Commenting Python code
   4. Launching Python programs
   5. Using the IPython shell
   6. Summary
7. Data Types and Modules
   1. Structuring code
      1. Multiple line spanning
   2. Common data types
   3. Python numbers
   4. Strings
      1. Basic string operations
      2. Indexing and slicing strings
      3. String formatting
      4. Combining and separating strings
   5. Lists
      1. List usage
      2. Adding list elements
      3. Mutability
   6. Dictionaries
      1. Creating dictionaries
      2. Working with dictionaries
      3. Dictionary details
   7. Tuples
      1. Why use tuples?
      2. Sequence unpacking
   8. Sets
   9. Using data type methods
      1. Sequence methods
      2. String methods
      3. List methods
      4. Tuple methods
      5. Dictionary methods
      6. Set methods
   10. Importing modules
       1. Namespaces
       2. Dot nomenclature
       3. Types of imports
       4. Modules as scripts
   11. Summary
8. Logic Control
   1. if...else statements
   2. Loops
      1. while loops
      2. for loops
      3. zip() function
   3. Exceptions
      1. Exception class hierarchy
      2. User-defined exceptions
      3. Final thoughts
   4. Summary
9. Functions and Object Oriented Programming
   1. Working with functions
      1. Lambdas
   2. Classes, methods, and namespaces
      1. How are classes better?
      2. Classes and instances
      3. Modules
      4. Inheritance
      5. Operator overloading
   3. Properties and class and static methods
      1. Properties
         1. Getters and setters
      2. Class and static methods
   4. Summary
10. Files and Databases
    1. File I/O
       1. Files and streams
       2. Reading from a file
       3. Iterating through files
       4. Seeking
       5. Serialization
    2. Python and SQLite
       1. Working with databases
       2. Using SQL to query a database
       3. Creating a SQLite database
       4. Retrieving data from a database
       5. SQLite database files
    3. SQLAlchemy
       1. Writing a SQLAlchemy database
       2. Filling and querying the database
    4. Summary
11. Application Planning
    1. Software development life cycle
    2. Development practices and methodologies
       1. Incremental development
       2. Continuous integration
       3. Prototyping
       4. Rapid application development
       5. Waterfall development
       6. Spiral development
       7. Agile development
    3. Project requirements
    4. Software repositories
    5. Summary
12. Writing the Imported Program
    1. Project requirements
    2. Utility functions
    3. Simulating storage tanks
       1. Name mangling
    4. Simulating valves
       1. Base valve class
       2. Gate valve class
       3. Globe valve class
       4. Relief valve class
    5. Simulation pumps
       1. Base pump class
       2. Centrifugal pump class
       3. Positive displacement pump class
    6. Summary
13. Automated Software Testing
    1. Testing techniques
       1. Static versus dynamic tests
       2. White-box testing
       3. Black-box testing
       4. When to test
    2. Writing tests
    3. Refactoring code
    4. Summary
14. Writing the Fueling Scenario
    1. Fueling scenario requirements
    2. Directory structure
    3. Component coding
    4. Functionality coding
    5. Testing
    6. Summary
15. Software Post-Production
    1. Docstrings
    2. Sphinx documentation
    3. Lessons learned
    4. Summary
16. Graphical User Interface Planning
    1. GUI functionality
       1. GUI elements
       2. Best practices
    2. User environment
    3. Graphical frameworks
    4. Summary
17. Creating a Graphical User Interface
    1. Wireframing
    2. Coding the interface
       1. Kivy logic file
       2. Kivy layout file
    3. GUI testing
    4. Summary
18. Other Books You May Enjoy
    1. Leave a review - let other readers know what you think