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  1. Only showing results from coursera.org

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  2. Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development: Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
  3. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux environments and bash scripting all the way to high throughput computing and parallelizing code. We recommend you are familiar with either Fortran 90, C++, or Python to complete some of the programming assignments.
  4. Jan 14, 2025Quick tip from an expert. Dez Udezue, a software engineering manager at Meta and a 16-year industry veteran, suggests early-career developers direct their attention to their immediate job tasks. "Hyper focus on the direct manager over the technology stack. They influence growth a lot, especially in the early part of their career," he says.
  5. Programming Proficiency: Proficiency in programming languages such as C, C++, Python, or Fortran is essential for HPC. The ability to write efficient and optimized code is crucial for achieving high-performance results. Problem-Solving Mindset: HPC often involves solving complex problems and optimizing performance.
  6. Nov 25, 2024Programming is a skill that is becoming increasingly sought after in the job market. The Government in India has been transforming the digital landscape through the Digital India Programme, with a focus on expanding digital access and training across the country [].With the high rate at which digital technology is expanding, computer programming skills. are likely to continue to be in high ...
  7. Play with 50 algorithmic puzzles on your smartphone to develop your algorithmic intuition! Apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies.
  8. Having seen partial differential equations will be very helpful. The code is in C++, but you don't need to know C++ at the outset. We will point you to resources that will teach you enough C++ for this class. However, you will need to have done some programming (Matlab, Fortran, C, Python, C++ should all do).
  9. Apr 11, 2024Libraries like NumPy and SciPy implement functionalities in C and Fortran, making it easier to work with mathematical-based tasks that require crunching numbers. Python frameworks like TensorFlow and PyTorch are other examples of ways to work in Python with other numerical-based tasks. These frameworks shorten machine and deep learning tasks ...

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