Learning Path: Python: Programming For Python Users

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Business users and analysts want quick, practical knowledge. Regarding SQL and database topics, they are more interested in how to use data rather than create it (this means the SELECT statement is highly relevant to them). As they progress they will likely want to know how to create their own databases, but only to a certain extent. The business logic of database design is likely what they are interested in. They may want to understand basic table design principles and a high-level understanding of normalization. But security, administration, data theory, and other DBA/engineering tasks will likely not be relevant to them. Typically when business users prototype a database for their business needs, they might hand it off to a DBA to put in production if it is deemed critical for the business.

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

The need for building highly performant and maintainable user interfaces is now greater than ever. React, a library designed and developed by Facebook, can solve many of the existing problems users face today–including poor browser performance while handling dynamic interactions with high loads of data. React also solves a lot of challenges for front-end developers. Due to its popularity, other supporting frameworks, such as Redux, came into the picture to make applications more predictable, testable, and easier to debug. However, they come with a different approach to front-end development and testing.

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