Python course structured in 3 big bocks: basic, advanced and utilities

# Course content

• 00: What is Python?
• 01: Python history and versions
• 02: Tools and environment
• 03: Numbers
• 04: Strings
• 05: Collections
• 06: Dictionaries
• 07: Booleans
• 08: Flow control
• 09: Functions
• 10: Iterators, comprehension and generators
• 11: Functional programming and iterables tools
• 12: Classes
• 13: Modules and packages
• 14: Duck typing
• 15: Mutables vs. immutables
• 16: Way of working

• 01: Namespaces and scopes
• 02: Globals and locals and global
• 03: Decorators
• 04: Advanced decorators
• 05: Attributes look up
• 06: Objects data model customisation
• 07: Cooperative super call pattern: MRO and super
• 08: Descriptors protocol
• 09: Slots and properties
• 10: Constructors and metaclasses
• 11: Common Java developers errors (getters and setters, abuse of staticmethod and classmethod, single class per module, fear to multiple inheritance, importing...) ?

## UTILITIES BLOCK (6 - 8h)

• Standatd library: most useful modules

  • ABC?
  • itertools
  • functools
  • contextlibs
  • datetime + tz, time
  • sys
  • os
  • json, ujson
  • inspect + _getframe
  • cmd
  • logging
  • Files access: os.path, copy2, shutil, mkdir
  • argparse, configparser
  • Commands execution: popen
  • Paralelism: thread, multiprocessing, GIL
  • traceback
  • …

• Unit testing, mocking (dependency injection vs. mocking abuse)

• Debugging and profiling: ipdb, timeit, profile & cprofile, plop

• Packaging and distribution: setuptools and distutils

• Rremote access: fabric and paramiko

• 3rd parties:

  • virtualenv
  • Web development: Django, Django rest fwk, Tastypie
  • Asynch processing: gevent and Twisted
  • HTTP requests: requests
  • DB access: pymongo, redis, python-mysql, SQLAlchemy
  • …

  DONE:

  • Standatd library: useful functions: map, reduce, zip, globals, locals, all, filter…
    • collections