DataFramed #111 The Rise of the Julia Programming Language
4 snips
Oct 31, 2022 
Zacharias Voulgaris, a data science consultant and author of "Julia for Data Science," discusses the rising popularity of the Julia programming language. He highlights Julia's strengths over Python, its adaptability in data science and machine learning, and its efficient syntax. Zacharias shares insights on transitioning teams to Julia, the significance of community resources, and strategies for adoption. He also addresses common misconceptions and emphasizes Julia's increasing relevance, especially in sectors like fintech.
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Julia's Unique Position
- Julia blends high-level accessibility with low-level efficiency.
- It combines functional and object-oriented paradigms, appealing to various programming styles.
Data Engineering with Julia
- Zacharias Voulgaris used Julia for data engineering at Microsoft, parsing large text datasets.
- He found it easier than C# while delivering good performance.
Julia for Custom Solutions
- Julia empowers users to create fast, custom solutions instead of relying solely on external libraries.
- Develop your own tools if needed; Julia's speed makes it feasible.
