InLevel Up CodingbyPravash·Jul 1Memorizing Design Patterns Is a Waste of Time. Use This Decision Tree Instead.How to go from “I know what Strategy is” to “I know when to use it”A response icon2A response icon2
InLevel Up CodingbyPravash·Jun 15Delta Lake vs. Iceberg vs. Hudi: I Finally Know When to Use Each OneThree open table formats. Three different jobs. One cheat sheet.A response icon2A response icon2
InLevel Up CodingbyPravash·Jun 1LLM vs RAG vs MCP: I Finally Know When to Use Each OneThree architectures. Three different jobs. One cheat sheet.A response icon7A response icon7
InLevel Up CodingbyPravash·May 188 Data Pipeline Patterns Exist. Most Engineers Only Know 3Most pipelines fail not because of bad code — but because engineers picked the wrong pattern from the start.A response icon7A response icon7
InLevel Up CodingbyPravash·Apr 28The 5 Creational Pattern — I finally understand when to use each oneMaster the 5 Creational Design Patterns in Python with real-world stories even a 10-year-old can followA response icon1A response icon1
InLevel Up CodingbyPravash·Apr 20PyResilience: One Decorator. Seven Patterns. Zero Excuses.Tenacity, pybreaker, hand-rolled timeouts. They don’t talk to each other. That gap is your next incident.A response icon4A response icon4
InLevel Up CodingbyPravash·Apr 13Composition over Inheritance in Python (Explained With a Real Refactor)A practical refactor pattern you can reuse to make Python systems easier to test, extend, and debug.A response icon1A response icon1
InLevel Up CodingbyPravash·Apr 7Stop Using PySpark UDFs Like This — Here’s the Faster PatternThe fastest way to cut UDF-heavy stage time without rewriting your pipeline in Scala.A response icon1A response icon1
InLevel Up CodingbyPravash·Mar 23Databricks Auto Loader: 7 Production Failures I Wish Someone Warned Me AboutChecklist for schema drift, CloudFiles gotchas, and streaming pipelines that failA response icon1A response icon1
InLevel Up CodingbyPravash·Mar 45 Python Libraries That Stop OOMs in Memory-Bound ETLProcess TB-scale data with drastically lower RAM inside Prefect pipelines (with real-world tradeoffs)A response icon2A response icon2