Handy cheat sheet syntax and standard library.

This is a subdivision of the theoretical part of the PythonCourse. It is a mix of language constructs and libraries so it will be possible to quickly create a functional program.

1. Basic types 

This part will discuss the PythonBasicTypes together with their constants and operators.

• integer, long, float, boolean, string

2. Flow control 

To create programs we will need PythonFlowControl statements.

• for, if, while, def

3. Structures 

Storing more than single variables needs data PythonStructures.

• list, string, dict, set

4. Cairo introduction 

We want nice colorful output so we need a library PythonCairo.

• lines, colors, rotation & translation, text

5. Functions 

Python can do much more interesting things with PythonFunctions.

• default values, named arguments, multiple arguments, closures, anonymous

6. Modules 

To keep our projects tidy we use PythonModules.

• compiled code, global variables, module initialization, import

7. Error handling 

Not everything will succeed every time, sometimes we need PythonErrorHandling.

• try except, try finally, raise

8. File handling 

To store and read data we use PythonFileHandling routines.

• reading/writing text files, csv files, binary

9. Event handling 

Interactive programs needs PythonEventHandling.

• mouse clicks, file reading events, input boxes

10. Classes 

We can build advanced data structures with PythonClasses.

• definition, __init__, __dict__, __repr__, private variables, inheritance, iterators, properties, operators, json

11. String formatting 

To output data in a specific format we need PythonStringFormatting.

12. Regular expressions 

To find all kinds of information in texts we can use PythonRegularExpressions.

13. Websites 

Use python in dynamic PythonWebsites.

14. Advanced types 

There are still more types in python PythonAdvancedTypes.

• complex, rational, unicode

15. Generators 

To easy and efficiently create lists we can use PythonGenerators.

• iterators, list generator, coroutines

16. Dynamic code 

Python is an interpreter we can make use of that with PythonDynamicCode.

17. Reflection 

Python knows a lot about it's own data and functions PythonReflection.

• class details, alter classes

18. Databases 

Show the use SQLAlchemy of for connections to PythonDatabases.