This class is for programmers who are already experienced with another programming
language such as C, C++, Java, Perl, PHP, etc. Some prior experience
with Python is recommended, but not required as long as you are
familiar with common programming concepts. [ Am I prepared? ]
Next Course Date:
Instructor: David Beazley
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- Electronic copy of all course materials.
- A copy of the "Python Essential Reference, 4th Ed."
- Breakfast and lunch at local restaurants
Practical Python Programming
[4.5 days] This course is a fast-paced introduction to
the Python programming language and its use for writing useful
programs related to manipulating data, automating repetitive
tasks, and scripting. Major topics include the use of
Python's core data types (tuples, lists, sets, dicts, etc.) as
well as how to organize code into functions, modules, and
classes. Popular standard library modules and third-party
extensions such as numpy and pandas are also
described. Includes more than 40 hands-on exercises.
Major topics include:
- An introduction to python
- Working with data and collections
- Program organization and functions
- Modules and libraries
- Classes and objects
- Testing, debugging, and profiling
- Iterators and generators
- Text processing and parsing
- Files and the file system
- Accessing web services via Python
- Parsing common data formats (XML, JSON, CSV, etc.)
Detailed Course Outline
- Introduction to Python.
An introduction to the Python programming language. Covers details of
how to start and stop the interpreter and write programs. Introduces
Python's basic datatypes, files, functions, and error handling.
- Working with Data.
A detailed tour of how to represent and work with data in Python.
Covers tuples, lists, dictionaries, and sets. Students will also
learn how to effectively use Python's very powerful list processing
primitives such as list comprehensions. Finally, this section covers
critical aspects of Python's
underlying object model including variables, reference counting, copying,
and type checking.
- Program Organization and Functions.
More information about how to organize larger programs into functions
and modules. A major focus of this section is on how to design
functions that are reliable and can be easily reused in other
settings. The organization of code into modules and some best practices
for writing scripts is also covered.
- Classes and Objects. An introduction to object-oriented
programming in Python. Describes how to create new objects, overload
operators, and utilize Python special methods. Also covers some basic
principles of object oriented programming including inheritance.
- Inside the Python Object Model. A detailed look at how
objects are implemented in Python. Major topics include object
representation, attribute binding, inheritance, memory management, and
special properties of classes including properties, slots, and private
- Generators. Covers the iteration protocol, generators, and
generator expressions. A major focus of this section concerns the use
of generators to set up data processing pipelines--a particularly
effective technique for addressing a wide variety of common systems
programming problems (e.g., processing large datafiles, handling
infinite data streams, etc.).
- Some Advanced Topics. A variety of more advanced
programming topics including variable argument functions, anonymous
functions (lambda), closures, decorators, static and class methods.
- Testing, Debugging, and Software Development Practice.
This section discusses many isses that are considered important to
Python software development. This includes effective use of
documentation strings, program testing using both the doctest and
unittest modules, and effective use of assertions. The Python
logging, debugging, and profiling modules are also described.
A discussion of how to organize larger Python projects into
packages as well as details related to the installation of
third party packages.
Students will receive a bound 300-page fully indexed set of lecture
notes along with a complete set of more than 40 class exercises
(distributed electronically). All class exercises come with solution
code for later study and for use during the class.