Jan Schaffranek

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Transitioning to C from high-level, garbage-collected languages like Python, Java, or JavaScript presents unique challenges, particularly around manual memory management and direct hardware interaction. This course, designed specifically for experienced programmers, bridges that gap without wasting time on basic programming concepts like loops or conditional statements. Led by Jan Schaffranek, the curriculum zooms straight into what makes C unique and powerful: pointers, address arithmetic, raw memory allocation, and the compilation pipeline. You will explore how to manage memory safely using malloc and free, navigate pointers with confidence, and structure your code using header files and multi-file projects. The course also demystifies the build process, taking you through preprocessing, compilation, assembly, and linking, so you understand exactly how your code transforms into machine instructions. By applying these concepts to real-world examples, you will quickly build a robust mental model of how computer memory operates, enabling you to write highly optimized, low-level code and debug complex segmentation faults with ease. Whether you are moving into embedded systems, game engine development, or high-performance computing, this fast-track guide provides the exact foundation you need to master C quickly and efficiently.

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Transitioning to Python from languages like Java, C++, or JavaScript requires a unique approach that bypasses basic programming fundamentals and focuses directly on Python-specific paradigms. 'Quick Start in modern Python - Coming from another language' by Jan Schaffranek is meticulously designed to respect your existing engineering background, skipping elementary concepts like 'what is an if-statement' and instead diving straight into Pythonic implementations. This course guides developers through the core essentials of modern Python, ranging from advanced variable scope and data structures (lists, dicts, sets, tuples) to Object-Oriented Programming (OOP) syntax, error handling, and file I/O operations. In addition to language syntax, you will master the modern Python ecosystem, including setting up robust virtual environments, using package managers like pip, and leveraging development tools that streamline your workflow. By focusing on code readability, performance, and best practices, this fast-paced tutorial equips you with the practical skills needed to integrate Python seamlessly into your current software engineering toolkit.