Was Crocodile stronger at Marineford? Or was he holding back in Alabasta?

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 During the Alabasta arc, Crocodile displayed a level of power that was initially considered overwhelming by the Straw Hat Pirates. He possessed the Logia-type Devil Fruit called the Suna Suna no Mi (Sand-Sand Fruit), which granted him the ability to control and transform into sand. He had a reputation as a Shichibukai and controlled the desert kingdom of Alabasta from the shadows. His strength was showcased through his battles with Luffy and others. At Marineford, Crocodile was present as part of the war that took place at Marine Headquarters. While he did participate in the battle, he didn't display the same level of dominance as some other powerful characters present. This has led fans to speculate that he might not have been as strong as initially portrayed in Alabasta. It's important to note that power scaling and character abilities can be subject to interpretation and development by the author. Oda often keeps details deliberately open-ended to keep the story intriguing.
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What is a strong technical background for working in finance and investment banking?

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 A strong technical background for working in finance and investment banking typically includes a strong foundation in mathematics, statistics, and computer science.


First, a strong background in mathematics is important for finance and investment banking, as finance professionals use mathematical concepts and techniques to analyze financial data and make informed decisions. This includes knowledge of topics such as calculus, linear algebra, and probability theory, as well as experience with mathematical modeling and analysis.


Second, a strong background in statistics is also important for finance and investment banking. This includes knowledge of topics such as statistical inference, regression analysis, and time series analysis, as well as experience with statistical software and tools. This is necessary for analyzing large datasets and making predictions based on statistical models.


Third, a strong background in computer science is also important for finance and investment banking. This includes knowledge of topics such as algorithms, data structures, and software engineering, as well as experience with programming languages such as Python or R. This is necessary for implementing mathematical and statistical models, as well as for developing software for financial applications.


Overall, a strong technical background in mathematics, statistics, and computer science is essential for working in finance and investment banking. These skills are necessary for analyzing financial data and making informed decisions, and are in high demand in the finance industry.

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