SPL Programming - Postscript


This book uses 12 chapters to introduce the basic concepts and logic of programming from scratch, as well as the most commonly used structured data and its operations, including big data processing methods and statistical drawing. These contents cover all aspects of routine programming, and the knowledge reserve for daily data processing is enough.

However, this book focuses on the content related to the conceptual knowledge points, and does not introduce the use methods of various functions and options in detail. If you want to make the data processing at work more convenient, you need to practice more, especially be familiar with various common library functions.

After this book, we have also written a set of routine sets for workplace data processing, classify and compile the common data problems encountered in daily work for reference ( esProc Desktop and Excel Processing ), including table merging, splitting, extraction, summary, transformation and many other aspects. You are welcome to follow the progress.

Although many daily tasks can be completed after learning this book, this book is only a foundation for professionals. However, with these foundations, it will be easier to learn other programming languages. In particular, the structured data operation introduced in this book is very comprehensive. After understanding these contents, it is very easy to learn SQL and engage in database application development. The computing power of SQL is only a subset of SPL.

You can also continue to focus on SPL.

SPL is not only a programming language for non-professionals, but also suitable for programmers to act as a computing engine in application software development. With the help of SPL, the application architecture and development efficiency will also be greatly improved. We will also sort out a set of application-oriented routines and put them in RaqForum, including non-database-source operations, cross database operations, simplified SQL and mathematical calculations.

Moreover, SPL is also a professional big data computing language, which can write more concise code with far better performance than the traditional data warehouse (SQL is very weak in this aspect). This requires in-depth study of high-performance algorithms, which is not easy. RaqForum already has corresponding courses and many examples, and we will reorganize these materials into a book in the future.

SPL Programming - Preface
SPL Programming - 12.4 [Drawing graphics] Legend