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vectorized-operations

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labex-labs / practice-numpy-programming-projects

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Build real NumPy projects with 6 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

python data-science awesome programming numpy linear-algebra projects data-structures scientific-computing awesome-list exercises numerical-analysis performance-optimization array-manipulation hands-on matrix-operations machine-learning-fundamentals labex vectorized-operations
  • Updated Oct 23, 2025

labex-labs / numpy-practice-challenges

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This course contains lots of challenges for NumPy, each challenge is a small NumPy project with detailed instructions and solutions. You can practice your NumPy skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.

data-science programming course numpy linear-algebra broadcasting python-programming labs scientific-computing data-analysis numerical-methods performance-optimization array-manipulation hands-on matrix-operations numerical-computing labex vectorized-operations array-slicing
  • Updated Oct 23, 2025

tk-yasuno / markov-dqn-v08-c51

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C51 Distributional DQN (v0.8) for bridge fleet maintenance optimization. Implements categorical return distributions (Bellemare et al., PMLR 2017) with 300x speedup via vectorized projection. Combines Noisy Networks, Dueling DQN, Double DQN, PER, and n-step learning. Validated on 200-bridge fleet: +3,173 reward in 83 min (25k episodes).

reinforcement-learning deep-q-learning double-dqn dueling-dqn predictive-maintenance cbm prioritized-experience-replay noisy-networks large-scale-optimization structural-health-monitoring markov-decision-process distributional-rl prognostics-health-management bridge-maintenance disaster-resilience infrastructure-maintenance-management vectorized-operations infrastructure-resilience n-step-learning bridge-fleet
  • Updated Dec 8, 2025
  • Python

labex-labs / numpy-for-beginners

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This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.

python programming course numpy linear-algebra broadcasting labs scientific-computing data-analysis python-data-science array-manipulation hands-on matrix-operations beginner-python numpy-basics numerical-computing array-operations labex vectorized-operations indexing-slicing
  • Updated Oct 23, 2025

Shirouky / lab6-Data-analysis

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Исследование производительности операций с данными и статистический анализ товаров бисера. Сравнение медленных и оптимизированных методов обработки данных, проверка статистических гипотез и выявление закономерностей.

python optimization pandas data-analysis code-optimization performance-benchmarking computational-efficiency vectorized-operations
  • Updated Nov 12, 2025
  • Python

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