Skill Levels

Python Morsels includes different skill levels. The default skill level is mixed, but you can also choose from new programmer, novice, intermediate, or advanced.

Below are descriptions of what each level includes and who I'd recommend each level to.

Overview

These skill levels have overlap in which exercises I send out for each because each exercise can be ramped up/down in difficulty based on its bonuses. Some exercises have a variant that's specific to their level, but most exercises eventually show up in all of the levels.

For example, if you sign up for the intermediate level, you will eventually receive all of the initial exercises in the advanced level as well.

Remember that these levels are all aimed at somewhat experienced programmers. Python Morsels doesn't (yet) have a difficulty level that's aimed at brand new programmers. I may add such something for brand new programmers one day, but I don't have anything suitable yet.

New Programmer

If you're very new to programming, I'd recommend the new programmer level. This level will ease you into Python programming while encouraging you to embrace Python-specific idioms.

The first 50 exercises of this level include:

• Processing text and strings
• Practice with lists and dictionaries
• Command-line interface creation
• Practice with looping tools: slicing, tuple unpacking, and comprehensions
• Practice with various Python looping utilities
• Working with files

Novice

If you're fairly new to Python, I'd recommend the novice level. This level will encourage you to embrace Python-specific idioms and it'll introduce you to some of Python's more advanced features without overwhelming you.

The first 50 exercises of this level include:

• Practice with conditions and looping
• Practice with lists, dictionaries, and sets
• Processing text and strings
• Practice with various Python looping utilities
• Practice with looping tools: slicing, tuple unpacking, and comprehensions
• Working with files
• A very little bit of practice with classes
• Some practice with generators

Mixed

If you're somewhat experienced at Python, but you don't have a lot of experience with some of the more advanced Python features, I'd recommend the mixed level. This level will introduce you to Python-specific idioms at a faster pace way than the novice level.

The first 50 exercises of this level include:

• Practice with lists, dictionaries, and sets
• Practice with looping tools: slicing, tuple unpacking, and comprehensions
• Practice with various Python looping utilities
• Working with files
• Command-line interface creation
• Practice with generators
• Practice with interesting class features
• A very little bit of practice with context managers and decorators
• A very little bit of practice making custom data structures

Intermediate

If you're very experienced at Python and you believe you're already writing fairly Pythonic code, you might want to try the intermediate level. This level will still introduce Python idioms that are new to you, but we'll skip quite a few that I'll assume you're already familiar with.

The first 50 exercises of this level include:

• Creating your own looping helpers with generator functions
• Practice with comprehensions and generator expressions
• Lots of practice with classes
• Practice making decorators and context managers
• Practice making custom data structures
• Command-line interface creation

Advanced

If you're frequently authoring frameworks written in Python for other Python developers in your organization to use and you need to practice deep and dark Python features, this is the level for you. I don't usually recommend this level (the intermediate level is usually plenty challenging), but if it's suitable for you, feel free to pick it.

The first 50 exercises of this level include:

• Quite a bit of practice making custom data structures
• Creating your own looping helpers with generator functions
• Practice making decorators and context managers
• Some practice making descriptors and metaclasses
• Practice with various other lesser-used Python features

More info

For more information on skill levels, see the help page on skill levels.