Lectures related to Interactive Interpreter: Basics

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Explores Python modules, program hierarchy, module importing, and namespaces, including variables and scopes within functions.

Explores optimizing edge IoT sensors and developing business models for IoT products, with a focus on wearables.

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Covers Python basics, threading, shared data issues, and deadlock prevention.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.