Imshif93

An original study guide to blockchain: distributed ledgers, consensus mechanisms, Bitcoin, Ethereum, smart contracts and real-world trade-offs. Includes balanced analysis and practice questions. Ideal for blockchain courses.

A complete original guide to Excel for data analysis: essential formulas, XLOOKUP, PivotTables, charts, Power Query and dashboard building. Includes the most employable spreadsheet skills with practice questions.

An original study guide to Docker and DevOps: containers, Dockerfiles, Compose, CI/CD pipelines, Kubernetes concepts and observability. Includes hands-on examples and practice questions. Ideal for DevOps learners.

A complete original guide to C++: basics, OOP, the STL (vectors, maps, algorithms), memory management, smart pointers and modern C++ features. Includes code examples and practice questions. Ideal for C++ courses and interviews.

An original practical guide to backend development with N and Express: event loop, REST API design, middleware, databases, JWT authentication and deployment. Includes code examples and practice questions. Ideal for backend courses.

An original complete guide to React: components, JSX, useState, useEffect, forms, context, routing and performance. Includes modern code examples, a custom hook example and practice questions. Ideal for frontend courses and interviews.

An original study guide to discrete maths for CS: logic and proofs, sets, combinatorics, graph theory, recurrences and number theory. Includes worked proofs and practice questions. Ideal for discrete maths exams.

An original study guide to software engineering: SDLC models, Agile and Scrum, SOLID principles, clean code, testing, CI/CD and DevOps. Includes comparison tables and practice questions. Ideal for SE courses and interviews.

An original practical guide to data science with Python: NumPy, pandas, visualisation and scikit-learn. Covers the complete beginner-to-job workflow with code examples and practice questions. Ideal for data science students.

An original practical guide to the Linux command line: filesystem navigation, file viewing, permissions, processes, networking, SSH and shell scripting. Includes the commands employers expect and practice questions. Ideal for CS students and aspiring DevOps engineers.

A complete original study guide for C programming: syntax, control flow, pointers, dynamic memory, strings, structs and file I/O. Includes memory-tracing guidance, common pitfalls checklist and practice questions. Ideal for C courses and systems interviews.

An original study guide to cybersecurity fundamentals: CIA triad, cryptography, network defence, OWASP top web risks, malware, social engineering and incident response. Includes exam-ready explanations and practice questions. Ideal for security courses and certifications.

An original study guide covering statistics for data science: descriptive statistics, probability, key distributions, hypothesis testing, regression and correlation. Includes worked examples with intuition and practice questions. Ideal for stats courses and data interviews.

An original study guide for modern web development: how the web works, semantic HTML, CSS layout with Flexbox and Grid, JavaScript essentials, DOM, events and fetch. Includes code examples and practice questions. Ideal for web development courses and beginners.

An original study guide covering computer networks: OSI and TCP/IP models, TCP vs UDP, IP addressing and subnetting, routing, DNS, HTTP and network security. Includes worked subnetting examples, tables and practice questions. Ideal for networking exams.

An original study guide to machine learning fundamentals: ML workflow, data preprocessing, regression, classification, clustering, model evaluation and neural networks. Includes Python examples, metric definitions and practice questions. Ideal for ML courses and interviews.

An original study guide covering operating system core concepts: processes and threads, CPU scheduling, synchronisation, deadlocks, memory management, paging and file systems. Includes comparison tables, worked examples and practice questions. Ideal for OS exams.

A complete original study guide for SQL and relational databases: SELECT, JOINs, aggregation, subqueries, CTEs, normalisation and transactions. Includes runnable query examples, exam traps and practice questions. Ideal for database courses and data interviews.

A complete original study guide for Data Structures and Algorithms: Big-O analysis, arrays, linked lists, stacks, queues, trees, graphs, sorting and dynamic programming. Includes worked code examples, complexity tables, exam tips and practice questions. Ideal for CS exams and coding interviews.

A complete original study guide covering Python from basics to OOP: syntax, data types, control flow, functions, classes and inheritance, file handling, exceptions, modules and virtual environments. Includes worked code examples, comparison tables, exam tips and practice questions with answers guidance. Ideal for computer science students preparing for exams and coding interviews.