Index

[SYMBOL][A][B][C][D][E][F][G][H][I][J][K][L][M][N][O][P][Q][R][S][T][U][V][W][X][Y][Z]

SYMBOL

@abstractmethods annotation @dataclass decorator @functools.lru_cache() function @lru_cache() decorator ^ operator

A

A* searches algorithm for heuristics Euclidean distance Manhattan distance priority queues acg Codon activation functions, 2^nd, 3^rd, 4^th acyclic trees, 2^nd add_edge() function adjacency lists admissible heuristics, 2^nd, 3^rd adversarial search basic board game components Connect Four alpha-beta pruning code for developing AI for iterative deepening minimax algorithm, 2^nd quiescence search real-world applications for tic-tac-toe developing AI for managing states minimax algorithm AI (artificial intelligence), resources for algorithms, resources for alphabeta() function, 2^nd artificial general intelligence artificial neural networks backpropagation layers neurons overview astar() function, 2^nd Australian map-coloring problem auto-memoization, 2^nd

B

backpropagation, 2^nd, 3^rd, 4^th backtracking, 2^nd backtracking_search() function, 2^nd base cases Basic Linear Algebra Subprograms (BLAS) BFS (breadth-first searches), 2^nd algorithm for queues bfs() function, 2^nd, 3^rd, 4^th binary search binary_contains() function, 2^nd bit array bit string, 2^nd, 3^rd, 4^th bit vector bit_length() function BitString class BLAS (Basic Linear Algebra Subprograms) Board class, 2^nd breadth-first search. See BFS. brute-force searches

C

C4Board class C4Piece class calculatePi() function Callable function Cell enum centroid, 2^nd character encoding choices() function Chromosome class, 2^nd, 3^rd, 4^th chromosomes circuit board layouts classic computer science problems, defined classification problems classifying wine iris data set normalizing data Cluster class clustering, 2^nd by age by longitude. See also k-means clustering. Codon type codons, 2^nd colons Column class comma-separated values (CSV), 2^nd Comparable class _compress() function compress() function CompressedGene class, 2^nd, 3^rd compression, 2^nd optimizing list compression real-world applications of trivial Connect Four alpha-beta pruning code for developing AI for connected graphs connected property consistent() function Constraint class, 2^nd constraint propagation constraints, 2^nd constraint-satisfaction problems. See CSPs (constraint-satisfaction problems). costs of building networks, minimizing finding minimum spanning tree calculating total weight of weighted paths Jarník’s algorithm priority queues working with weights crossover, 2^nd crossover operator crossover() function, 2^nd, 3^rd cryptarithmetic puzzles, 2^nd CSP class CSPs (constraint-satisfaction problems) Australian map-coloring problem building frameworks for circuit board layouts cryptarithmetic puzzles eight queens problem real-world applications of word searches CSV (comma-separated values), 2^nd csv module csv.reader() function cycles, 2^nd

D

data large data sets normalizing resources for data structures DataPoint interface, 2^nd, 3^rd decompress() function decompression, 2^nd decrypting deep learning, 2^nd deltas, 2^nd DFS (depth-first searches) algorithm for stacks dfs() function, 2^nd, 3^rd Dijkstra’s algorithm, 2^nd, 3^rd dijkstra() function, 2^nd DijkstraNode _dimension_slice() function directed graphs (digraphs), 2^nd, 3^rd display_solution() function distance() function, 2^nd DNA search problem binary search example of linear search storing DNA domain() function domains, 2^nd, 3^rd dot products dynamic programming defined knapsack problem real-world applications for

E

Edge class, 2^nd Edge protocol, implementing edges eight queens problem encrypt() function encryption decryption and getting data in order real-world applications of endianness Euclidean distance, 2^nd euclidean_distance() function

F

feature scaling feed-forward artificial neural network, 6^th. See artificial neural networks. defined, 2^nd first layer of last layer of fib() function fib1() function, 2^nd fib2() function, 2^nd fib3() function fib4() function fib5() function fib6() function Fibonacci sequence first recursive attempt generating with generator iterative approach to memoization utilizing base cases FIFO (First-In-First-Out), 2^nd find_best_move() function, 2^nd fitness function fitness proportionate selection float type floating-point numbers, 2^nd, 3^rd, 4^th, 5^th fMRI (functional magnetic resonance imaging) frameworks for constraint-satisfaction problems for graphs Edge protocol Graph protocol functional programming, resources for

G

gat Codon Gene type generate_domain() function generations genetic algorithms biological background for challenges for cryptarithmetic puzzles generic genetic algorithm naive test optimizing list compression real-world applications of genetic programming, 2^nd GeneticAlgorithm class, 2^nd, 3^rd, 4^th, 5^th gradient descent, 2^nd gradually typed language Graph class, 2^nd, 3^rd graph problems building graph frameworks Edge protocol Graph protocol finding shortest paths breadth-first search in weighted graphs maps as graphs minimizing costs of building networks finding minimum spanning tree working with weights real-world applications of Graph protocol, implementing graphics graphs greedy algorithm, 2^nd, 3^rd GridLocation

H

hanoi() function heappop() function heappush() function heapq module heuristic() function heuristics, 2^nd Euclidean distance Manhattan distance hidden layers, 2^nd Hyperloop network, 2^nd, 3^rd, 4^th, 5^th, 6^th

I

if statement, 2^nd import statement, 2^nd infinite loops infinite recursion, 2^nd __init__() function input layers, 2^nd int type, 2^nd, 3^rd int.from_bytes() function integer-division (//) IntEnum type interpret_output() function iris data set iris_classifications iris_interpret_output() function, 2^nd iterative deepening itertools module, 2^nd

J

Jarník’s algorithm, 2^nd, 3^rd

K

KMeans class, 2^nd, 3^rd, 4^th k-means clustering album example algorithm for clustering by age and longitude extensions preliminaries of problems with real-world applications of knapsack problem

L

Last-In-First-Out (LIFO), 2^nd, 3^rd Layer class, 2^nd layers, 2^nd layer_structure argument learning rate, 2^nd, 3^rd, 4^th, 5^th LIFO (Last-In-First-Out), 2^nd, 3^rd linear search linear_contains() function, 2^nd local_assignment dictionary

M

machine learning Manhattan distance map() function MapColoringConstraint class maps, as graphs matplotlib library max_depth function Maze class, 2^nd maze problems A* search algorithm for heuristics priority queues breadth-first search algorithm for queues depth-first search algorithm for stacks generating random mazes maze minutiae MazeLocation, 2^nd MCState class, 2^nd mean() function memoization, 2^nd, 3^rd automatic real-world applications of metropolitan statistical areas (MSAs) min() function minimax algorithm improving with alpha-beta pruning with iterative deepening with quiescence search testing minimax() function, 2^nd, 3^rd minimum spanning trees. See spanning trees, finding minimum. missionaries and cannibals problem representation of problem solving mnemonics for phone numbers MSAs (metropolitan statistical areas) mst() function mutate() function, 2^nd, 3^rd mutation operator my_gene function mypy project

N

NamedTuple class neighbors_for_index() function Network class networks building implementing layers implementing neurons implementing minimizing costs of building finding minimum spanning tree working with weights neural networks, 2^nd artificial backpropagation layers neurons overview biological basis of building networks implementing layers implementing networks implementing neurons classification problems classifying wine iris data set normalizing data defined extensions preliminaries for activation functions dot products problems with real-world applications of speeding up Neuron class, 2^nd neurons, 2^nd, 3^rd nlargest() function Node class, 2^nd node_to_path() function normalization, 2^nd normalize_by_feature_ scaling() function normalizing data NP-hard (non-deterministic polynomial hard) problem, 2^nd nucleotides, 2^nd, 3^rd NumPy

O

open source projects, resources for open() function Optional type output layers, 2^nd

P

pandas parse_CSV() function partial() function paths defined finding shortest finding shortest in weighted graphs Dijkstra’s algorithm weighted permutation generation phone number mnemonics real-world applications for Traveling Salesman Problem permutations() function, 2^nd phone number mnemonics pi, calculating _pick_tournament() function Piece class, 2^nd pip install typing_extensions pip3 install typing_extensions ply, 2^nd pop operation pop() function population powerset Prim’s algorithm print() function print_weighted_path() function priority queues, 2^nd, 3^rd PriorityQueue class, 2^nd product() function Protocol type, 2^nd pseudocode pstdev() function push operation push() function python filename.py file Python IDE PyCharm Python programming language resources for source code repository versioning python3 filename.py file

Q

QueensConstraint class Queue class queues, 2^nd, 3^rd quiescence search

R

random module, 2^nd random_instance() function, 2^nd random_key() function recursive functions, 2^nd reduce() function repeat() function __repr__() function _reproduce_and_replace() function, 2^nd roulette-wheel selection run() function, 2^nd

S

satisfied() function, 2^nd scikit-learn search problems DNA search binary search example of linear search storing DNA maze problems A* search breadth-first search depth-first search generating random mazes maze minutiae missionaries and cannibals problem representation of problem solving real-world applications of. See also adversarial search. secrets package seeding selection operator SelectionType enum SEND+MORE=MONEY puzzle, 2^nd shuffle() function sigmoid functions, 2^nd SIMD (single instruction, multiple data), 2^nd SimpleEquation, 2^nd spanning trees, finding minimum calculating total weight of weighted paths Jarník’s algorithm priority queues Stack class, 2^nd, 3^rd stacks, 2^nd standard score states, managing statistics module stdev() function stochastic operations stringToGene() function strong AI successors() function sum() function, 2^nd supervised learning, 2^nd switch statement synapses, 2^nd sys.getsizeof() function

T

table variable TensorFlow testing genetic algorithms tic-tac-toe developing AI for managing states minimax algorithm token_bytes() function total_weight() function tournament selection, 2^nd, 3^rd Towers of Hanoi modeling the towers solving training, 2^nd Traveling Salesman Problem naive approach to brute-force searches permutation generation sample data real-world applications for with large data sets TTTBoard class, 2^nd TTTPiece class, 2^nd type hints, 2^nd downsides of using examples of overview resources for usefulness of type() function typing import Protocol typing module typing package typing_extensions module, 2^nd, 3^rd

U

unbreakable encryption decrypting encrypting getting data in order undirected graphs, 2^nd unsupervised learning, 2^nd unsupervised methods unweighted graph, 2^nd user interface code

V

validate() function variables, 2^nd vector instructions vertex matrix vertices, 2^nd _vertices array _vertices list, 2^nd visit() function

W

weighted graph, 2^nd, 3^rd, 4^th, 5^th, 6^th WeightedEdge class WeightedEdges class WeightedGraph class, 2^nd WeightedPath class weights finding shortest paths in weighted graphs Dijkstra’s algorithm of weighted paths, calculating total working with wine_interpret_output() function word searches WordSearchConstraint class, 2^nd

X

XOR (exclusive or) operation, 2^nd

Y

yield statement

Z

zip() function, 2^nd zlib module z-score, 2^nd _zscore_normalize() function zscores() function, 2^nd, 3^rd