Redis Bootcamp for Beginners: Get Hands On with Redis.

Explore Redis pattern matching with the keys command, using ? and * wildcards and character sets to filter keys by length and position. See examples like hello, hallo, hrllo.

Explore Redis commands like random key, rename, renamenx (prevents overwriting), touch, unlink, and type to manage keys, update access time, delete asynchronously, and reveal data types.

Understand Redis string datatype, create keys with set, and use nx and xx options to control creation. Learn append, incr, decr, and increment by float for string operations.

Wraps up the string section with Redis commands like get range, set range, and strlen. Learn to handle indexing, substrings, and expiry using setex and psetex.

Explore Redis lists, a linked-list based data type in Redis, covering how lists store a sequence of ordered elements, their fast insertions, slower indexed access, and the trade-offs.

Master redis lists by using lpush and rpush to insert elements, lrange to display them, and lpop or rpop to remove items; learn about lpushx and rpushx for conditional inserts.

Implement all posts and the latest post in Redis using keys and strings, decode bytes to strings, fetch IDs, and render data through a template for the front end.

Hashes in Redis map string fields to string values and can store object data, such as a user with name, surname, and age; they support up to 2^32−1 field-value pairs.

Learn to create and manage Redis hashes using hset, hget, and hmset, fetch all fields with hgetall, and retrieve multiple fields with hmget.

Learn how to use multi and exec to manage Redis transactions, queue commands, and execute them in order, with insights on errors and lack of rollback.

Learn how Redis transactions use multi, exec, discard, and watch to manage atomic operations; watch detects changes, causing aborts, while unwatch resets monitoring.

Learn to build a Python-based product list with dictionaries, assign unique IDs, and store structured data in Redis using hashes and key-value fields.

learn to implement redis pipelines by using r.pipeline to batch commands and replace repeated db hits with a single pipe.execute call, reducing latency and network cost.

Build a third shirt store by wiring Redis db.py initialization to main.py, and implement a scan-based cursor function to fetch shirt keys with a pattern, preparing for purchase flows.

Implement a Redis buy item function using a pipeline to decrement stock and increment npurchased, handling out-of-stock cases and preparing for future transaction and watch-based race-condition handling.

Implement transactions in Redis with multi, apply watch and unwatch to prevent race conditions, and handle exceptions with an OutOfStockError, retrying on watch errors.

Explore Redis sets as an unordered collection of strings with add, remove, and existence checks in constant time, plus unions and intersections.

Master redis sets with basic commands: sadd adds, sismember and scard check, smove moves, spop pops, and srem removes, plus smembers to fetch members.

Explore operations on sets, including difference (A minus B), intersection, and union, with practical examples showing how to compare elements and identify common data in Redis.

Master Redis set operations with practical commands like sdiff, sinter, and sunion, including their store variants, by exploring party and picnic sets and random member retrieval.