Self introduction
- To give a brief introduction,Wine Rack is nearly 48 years old, has more than 20 years of IT work experience, and currently works in enterprise architecture for a Fortune 500 company. Because of work needs and because of my broad interests, I have established three blogs for my own learning, namely [Global IT Outlook], [Global IT Outlook] a>], there are more Content sharing, thank you for collecting it. Developer Chat] and [Architect Pub
- Enterprise architects need a broad range of knowledge to understand an enterprise's overall business, applications, technology, data, governance and compliance. In the previous four years, he was mainly responsible for the overall technical planning, standard establishment and project management of the enterprise. In the past year, I have been mainly responsible for data, involving data platform, data strategy, data analysis, data modeling, data governance, as well as data sovereignty, privacy protection and data economy. Because of the need, such as incorporating data resources into financial statements, and how to value and monetize data requires financial and financial knowledge, I have been studying finance, finance and law recently. I plan to prepare for the CPA first and then the CFA. If possible, I also want to study law and prepare for the bar exam.
- Students and friends who love learning are welcome to pay attention and everyone is welcome to communicate. WeChat account [ca_cea]
A dirty secret about notebook programming using environments like Jupyter or Google Colab is that it produces some of the worst spaghetti code you've ever seen, with data scientists jumping from cell to cell, creating an unmaintainable mess. Some people even say that laptop programming may be as harmful as GOTO back in the day. nbdev embraces the benefits of notebook programming and attempts to mitigate the downsides.
nbdev is a Git-enabled Jupyter notebook-driven development platform from fast.ai that gives data scientists the freedom they need to explore, but also the ability to easily create modules with documentation within the same notebook, and yes, even Conduct appropriate testing. You'll find it used by companies like Netflix and Lyft, and of course fast.ai, who use nbdev to create new versions of the fast.ai library.
——Ian Pointer
欢welding蔶藏 【Global IT Observation】、【Building Company Liquor Store】和【开发者开聊】.