Mastering Python & Marathon Interview Question Series: Build practical Python skills through real-world coding and interview-focused problem solving

INIT Tech Labs

$98.99

Video Jul 2026 24hrs 13mins 1st Edition

INIT Tech Labs

$98.99

Video Jul 2026 24hrs 13mins 1st Edition

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Key benefits

A structured path from Python basics to APIs, databases, NumPy, and practical AI integrations
Interview questions and real-world tasks that strengthen logic, confidence, and coding judgment
Step-by-step demonstrations that connect each concept to clear, practical Python applications

Description

Python is a versatile foundation for software, automation, data, web, and AI work. A clear grasp of its syntax and logic helps beginners turn ideas into reliable programs while preparing experienced learners to use Python in new fields. The material begins at first principles, so no prior programming knowledge is required. The learning path moves from variables, data types, operators, input and output, conditions, and loops into lists, tuples, sets, dictionaries, and functions. It then develops object-oriented programming, modules, virtual environments, package managers, regular expressions, exceptions, file and directory operations, CSV and JSON processing, databases, decorators, NumPy, FastAPI, and AI integrations. Step-by-step demonstrations, interview questions, and practical tasks connect each topic to code. Learners gain the ability to write clean programs, organize reusable logic, work with data structures, handle errors, process files, query databases, build APIs, and apply NumPy in data-focused work. Repeated problem solving strengthens coding judgment and supports paths in software development, automation, data science, and AI or machine learning. By the end of this course, you can build practical Python solutions and approach technical interviews with greater confidence.

Who is this book for?

Designed for absolute beginners, aspiring Python developers, automation engineers, data science and AI/ML learners, and developers moving from another field into Python. No prior programming knowledge is required; learners should be ready to practice consistently and apply concepts through coding tasks and interview-style problems.