• Use java streams to analyze Pokemon data

Procedural programming is giving way to an increasing reliance on the declarative functional paradigm. This lesson helps familiarize students with Java streams and lambda expressions which are the two most common functional features used in modern Java applications.

1. Fork this repo
2. Clone this repo
3. Implement the story shown below using the method stubs provided in PokeProcessor.java
4. Commit
5. Push!

• Use stream syntax to implement the story below.
• It's okay to use for loops at first, but you must refactor
• Submit your work using only higher-order functions

As a Pokemon enthusiast, I want to run various queries against the PokeData So that I can learn enough to create the perfect deck!

#####Acceptance Criteria

• listPokemon should return a list of names of all pokemon.
• pokemonWith3Weaknesses should return a list of all pokemon with 3 weaknesses
• calculateAverageMaxHP should calculate the average MaxHP of all pokemon. Don't worry about this one, the seed JSON data doesn't support this problem
• listWeaknesses should return a list of all weaknesses.
• pokemonResistantByAttack should return a list of pokemon resistant to a given attack.
• numOfPokemonResistantByAttack should return an object with each type of attack and the number of pokemon that are resistant to that attack.
• typesOfFastAttacks should return a list of all types of fast attacks.
• specialAttacksPokemon should return a list of Pokemon that have more than three special attacks.
• heavyPokemon should return the percent of pokemon who have a mass > 50 kg.
• describePokemonByNumber should return a description of a pokemon when given a number.

• Use only pure functions in your PokeProcessor class.
• One statement solutions

• Streams Tutorial
• Yet another Streams Tutorial
• Streams Reference