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Head First Python
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- Table of Contents
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Chapter 1: Meet Python: Everyone Loves Lists
- What’s to like about Python?
- Install Python 3
- Use IDLE to help learn Python
- Work effectively with IDLE
- Deal with complex data
- Create simple Python lists
- Lists are like arrays
- Add more data to your list
- Work with your list data
- For loops work with lists of any size
- Store lists within lists
- Check a list for a list
- Complex data is hard to process
- Handle many levels of nested lists
- Don’t repeat code; create a function
- Create a function in Python
- Recursion to the rescue!
- Your Python Toolbox
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Chapter 2: Sharing Your Code: Modules of Functions
- It’s too good not to share
- Turn your function into a module
- Modules are everywhere
- Comment your code
- Prepare your distribution
- Build your distribution
- A quick review of your distribution
- Import a module to use it
- Python’s modules implement namespaces
- Register with the PyPI website
- Upload your code to PyPI
- Welcome to the PyPI community
- With success comes responsibilit y
- Life’s full of choices
- Control behavior with an extra argument
- Before your write new code, think BIF
- Python tries its best to run your code
- Trace your code
- Work out what’s wrong
- Update PyPI with your new code
- You’ve changed your API
- Use optional arguments
- Your module supports both APIs
- Your API is still not right
- Your module’s reputation is restored
- Your Python Toolbox
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Chapter 3: Files and Exceptions: Dealing with Errors
- Data is external to your program
- It’s all lines of text
- Take a closer look at the data
- Know your data
- Know your methods and ask for help
- Know your data (better)
- Two very different approaches
- Add extra logic
- Handle exceptions
- Try first, then recover
- Identif y the code to protect
- Take a pass on the error
- What about other errors?
- Add more error-checking code…
- …Or add another level of exception handling
- So, which approach is best?
- You’re done…except for one small thing
- Be specific with your exceptions
- Your Python Toolbox
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Chapter 4: Persistence: Saving Data to Files
- Programs produce data
- Open your file in write mode
- Files are lef t open af ter an exception!
- Extend try with finally
- Knowing the t ype of error is not enough
- Use with to work with files
- Default formats are unsuitable for files
- Why not modif y print lol()?
- Pickle your data
- Save with dump and restore with load
- Generic file I/O with pickle is the way to go!
- Your Python Toolbox
- + Chapter 5: Comprehending Data: Work That Data!
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Chapter 6: Custom Data Objects: Bundling Code with Data
- Coach Kelly is back(with a new file format)
- Use a dictionary to associate data
- Bundle your code and its data in a class
- Define a class
- Use class to define classes
- The importance of self
- Every method’s first argument is self
- Inherit from Python’s built-in list
- Coach Kelly is impressed
- Your Python Toolbox
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Chapter 7: Web Development: Putting It All Together
- It’s good to share
- You can put your program on the Web
- What does your webapp need to do?
- Design your webapp with MVC
- Model your data
- View your interface
- Control your code
- CGI lets your web ser ver run programs
- Display the list of athletes
- The dreaded 404 error!
- Create another CGI script
- Enable CGI tracking to help with errors
- A small change can make all the difference
- Your webapp’s a hit!
- Your Python Toolbox
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Chapter 8: Mobile App Development: Small Devices
- The world is getting smaller
- Coach Kelly is on Android
- Don’t worry about Python 2
- Set up your development environment
- Configure the SDK and emulator
- Install and configure Android Scripting
- Add Python to your SL4A installation
- Test Python on Android
- Define your app’s requirements
- The SL4A Android API
- Select from a list on Android
- The athlete’s data CGI script
- The data appears to have changed t ype
- JSON can’t handle your customdatat ypes
- Run your app on a real phone
- Configure AndFTP
- The coach is thrilled with his app
- Your Python Toolbox
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Chapter 9: Manage Your Data: Handling Input
- Your athlete times app has gone national
- Use a form or dialog to accept input
- The data is delivered to your CGI script
- Ask for input on your Android phone
- It’s time to update your ser ver data
- Avoid race conditions
- You need a better data storagemechanism
- Use a database management system
- Python includes SQLite
- Exploit Python’s database API
- The database API as Python code
- A little database design goes a long way
- Define your database schema
- What does the data look like?
- Transfer the data from your pickle toSQLite
- What ID is assigned to which athlete?
- Insert your timing data
- SQLite data management tools
- Integrate SQLite with your existingwebapp
- You still need the list of names
- Get an athlete’s details based on ID
- You need to amend your Android app, too
- Update your SQLite-based athlete data
- The NUAC is over the moon!
- Your Python Toolbox
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Chapter 10: Scaling Your Web App: Getting Real
- There are whale sightings everywhere
- The HFWWG needs to automate
- Build your webapp with Google AppEngine
- Download and install App Engine
- Make sure App Engine is working
- App Engine uses the MVC pattern
- Model your data with App Engine
- What good is a model without a view?
- Use templates in App Engine
- Django’s form validation framework
- Check your form
- Controlling your App Engine webapp
- Restrict input by providing options
- Meet the “blank screen of death”
- Process the POST within your webapp
- Put your data in the datastore
- Don’t break the “robustness principle”
- Accept almost any date and time
- It looks like you’re not quite done yet
- Sometimes, the tiniest change can makeall the difference…
- Capture your user’s Google ID, too
- Deploy your webapp to Google’s cloud
- Your HFWWG webapp is deployed!
- Your Python Toolbox
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Chapter 11: Dealing with Complexity: Data Wrangling
- What’s a good time goal for thenext race?
- So…what’s the problem?
- Start with the data
- Store each time as a dictionary
- Dissect the prediction code
- Get input from your user
- Getting input raises an issue…
- If it’s not in the dictionary, it can’t befound.
- Search for the closest match
- The trouble is with time
- The time-to-seconds-to-time module
- The trouble is still with time…
- Port to Android
- Your Android app is a bunch of dialogs
- Put your app together…
- Your app’s a wrap!
- Your Python Toolbox
- + Appendix: Leftovers: The Top Ten Things (We Didn't Cover)
- Index
Ever wished you could learn Python from a book? Head First Python is a complete learning experience for Python that helps you learn the language through a unique method that goes beyond syntax and how-to manuals, helping you understand how to be a great Python programmer. You'll quickly learn the language's fundamentals, then move onto persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you.
We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Python uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
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Book Details
Authors
Categories
Computers > Programming Languages > Python
Publishers
Publication year : 2010
License: All rights reserved ©
Times read: 2,808
