Resourceful Code Reuse »

Reusing well-written, well-debugged, and well-tested code improves productivity, code quality, and configurability. Explore the benefits and drawbacks of seven popular code reuse models in Python and C, and start confidently reusing code at any development stage. Create static and dynamic libraries and adapt your code for the real world. Deploy functions remotely and then build software that accesses them using remote procedure calls. Don't lose it; reuse it! Read on for a special deal!

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Resourceful Code Reuse: Write → Compile → Link → Run

Avoid the drawbacks and harness the benefits associated with seven code reuse models. Create static and dynamic libraries in C and Python, deploy shared functions remotely, and build software that makes intelligent use of remote procedure calls. In no time at all, you'll develop the confidence to reuse code at any stage of real-world development.

This one-stop solution covers the complete build cycle: editing, compiling, linking, and running a ready program. Apply Linux/macOS power software development tools, such as ld, ldd, ranlib, and nm, to construct and explore state-of-the-art function libraries in C that could be linked with application-specific code either permanently or for the duration of execution. Learn why Python has modules for reuse and how they differ from C object files and libraries. Understand the risks and other negative implications of sharing and reuse. As a bonus, distill the dependencies between your project's components and automate and optimize your build process with the "make" utility.

Whether you are an amateur coder or an experienced developer, become a more productive and resourceful programmer by reusing previously written code.

The completed ebook is now available on our site and will be available soon on Amazon.com, O'Reilly Learning Platform, and other online retailers. Use Coupon Code "DZREUSECOMPLETE" for 40% off the completed ebook at pragprog.com/titles/dzreuse.

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