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Automation - Similar to robotics, itautomation can require quantifying a lot of human behavior.

Calculations - Finding solutions to proofs often requires calculus.

Visualizations - Utilizing advanced algorithms requires calculus such as cos, signsine, pi, and e. Especially when you're calculating vectors, collision fields, and meshing.

Logistics and Risk analysis - Determining whether somethinga task is possible, the risk involved, and possible rate of success.

Security - Most security can be performed without calculus; however, many people who want to understand like to know the riskexplanations prefer it in mathematical expressions.

AI - The basics of AI can be utilized without calculus; however, calculating advanced behavior, swarm intelligence/hive minds, and complex values based decision making.

Medical calculations - Visualizing most health data requires calculus such as an EKG reading.

Science & Engineering - When working with nearly any other scientific discipline requires calculus: Aerospace, Astrology, Biology, Chemistry, or Engineering.

Many people in programming can go their entire career without using calculus; however, it can prove invaluable if you're willing to do the work. For me it has been most effective in automation, logistics, and visualization. By identifying specific patterns, you can simply ignore the pattern, imitate the pattern, or develop a superior method all together.

Automation - Similar to robotics, it can require quantifying a lot of human behavior.

Calculations - Finding solutions to proofs often requires calculus.

Visualizations - Utilizing advanced algorithms requires calculus such as cos, sign, pi, and e. Especially when you're calculating vectors, collision fields, and meshing.

Logistics and Risk analysis - Determining whether something is possible, the risk involved, and possible rate of success.

Security - Most security can be performed without calculus; however, many people who want to understand like to know the risk.

AI - The basics of AI can be utilized without calculus; however, calculating advanced behavior, swarm intelligence/hive minds, and complex values based decision making.

Medical calculations - Visualizing most health data requires calculus such as an EKG reading.

Science & Engineering - When working with nearly any other scientific discipline requires calculus: Aerospace, Astrology, Biology, Chemistry, or Engineering.

Many people in programming can go their entire career without using calculus; however, it can prove invaluable if you're willing to do the work. For me it has been most effective in automation, logistics, and visualization. By identifying specific patterns, you can simply ignore the pattern, imitate the pattern, or develop a superior method all together.

Automation - Similar to robotics, automation can require quantifying a lot of human behavior.

Calculations - Finding solutions to proofs often requires calculus.

Visualizations - Utilizing advanced algorithms requires calculus such as cos, sine, pi, and e. Especially when you're calculating vectors, collision fields, and meshing.

Logistics and Risk analysis - Determining whether a task is possible, the risk involved, and possible rate of success.

Security - Most security can be performed without calculus; however, many people who want explanations prefer it in mathematical expressions.

AI - The basics of AI can be utilized without calculus; however, calculating advanced behavior, swarm intelligence/hive minds, and complex values based decision making.

Medical calculations - Visualizing most health data requires calculus such as an EKG reading.

Science & Engineering - When working with nearly any other scientific discipline requires calculus: Aerospace, Astrology, Biology, Chemistry, or Engineering.

Many people in programming can go their entire career without using calculus; however, it can prove invaluable if you're willing to do the work. For me it has been most effective in automation, logistics, and visualization. By identifying specific patterns, you can simply ignore the pattern, imitate the pattern, or develop a superior method all together.

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source | link

Automation - Similar to robotics, it can require quantifying a lot of human behavior.

Calculations - Finding solutions to proofs often requires calculus.

Visualizations - Utilizing advanced algorithms requires calculus such as cos, sign, pi, and e. Especially when you're calculating vectors, collision fields, and meshing.

Logistics and Risk analysis - Determining whether something is possible, the risk involved, and possible rate of success.

Security - Most security can be performed without calculus; however, many people who want to understand like to know the risk.

AI - The basics of AI can be utilized without calculus; however, calculating advanced behavior, swarm intelligence/hive minds, and complex values based decision making.

Medical calculations - Visualizing most health data requires calculus such as an EKG reading.

Science & Engineering - When working with nearly any other scientific discipline requires calculus: Aerospace, Astrology, Biology, Chemistry, or Engineering.

Many people in programming can go their entire career without using calculus; however, it can prove invaluable if you're willing to do the work. For me it has been most effective in automation, logistics, and visualization. By identifying specific patterns, you can simply ignore the pattern, imitate the pattern, or develop a superior method all together.