KDB+/ Q programming - for beginners

Install kdb+ on ubuntu, set up the license and environment, build a first class table of billionaires in q, and learn basic csv handling and queries.

Explore q language data types, including numbers, times, dates, booleans, characters, and symbols, and work with vectors, lists, dictionaries, and tables using indexing, functions, and iterators.

Explore implicit iteration in KDB+ q, using maps and accumulators, unary iterators, and atomic and list iteration across lists, dictionaries, and tables to apply functions efficiently.

Explore iterators in q, including maps and accumulators, groups, postfix syntax, and application. Learn to apply derived functions via bracket, prefix, and infix forms to reduce and accumulate data.

Discover how maps transform dictionaries and lists using the each family—each left, each right, each parallel, and each prior—alongside case and binary values.

Explore accumulators in kdb+/q, comparing scan and over, their uniform or aggregate results, and how unary, binary, and ternary applications derive functions with identity elements.

Explore q/kdb+ iteration techniques to analyze crypto trading volume, using maps, accumulators, and implicit iteration on lists, dictionaries, and tables.

Explore kdb+/q programming control constructs cond, do, if, and while, including how counts evaluate expressions, name scope in brackets, and why sql uses vector conditionals instead of cond.

Explore kdb+ q data types, including strings, temporal symbols, file paths, infinites, and widths, plus enumerated, nested, dictionary and table types, iterators, and derived functions.

Explore core q operators such as add, apply, index, and trap, including apply at, index at, and trap at, with dictionaries, vectors, and cross-sectional indexing.

Explore composing unary values in kdb+/q, handling ranks, overloading with over and OVR, and applying the derived and ambivalent functions to build sequences and compute cumulative sums.

Introduce roll, deal, and permute in kdb+/q for beginners, showing how to randomly select items from lists with or without duplicates and generate diverse data types.

Use delete to remove rows or columns from a table, or entries from a dictionary, and delete named objects from a namespace with practical examples.

Discover kdb+/q essentials through display, divide, and drop. Learn how display prints unformatted data for debugging, how divide computes ratios as floats, and how drop removes items or columns.

Explore kdb+/q basics for beginners: find, join, and select to manipulate lists and tables, apply by-phrase groupings, sort and limit results, and understand type-specific semantics.

Install and set up Kdbi, a knowledge-based vector database and search engine for real-time ai apps in q programming, with prerequisites and session connection steps.