NPS School of Computing (@npshub)
  • Stars
    star
    72
  • Global Org. Rank 66,509 (Top 22 %)
  • Registered almost 4 years ago
  • Most used languages
    CSS
    6.3 %
  • Location πŸ‡³πŸ‡΅ Nepal
  • Country Total Rank 268
  • Country Ranking
    CSS
    218

Top repositories

1

simulation

πŸ“– Algorithms in simulation: Markov chain Monte Carlo, Hybrid Monte Carlo, Heat Bath Algorithm, Path integral, Density matrices etc.
Jupyter Notebook
21
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2

python-fundamentals

:octocat: Python Basics with fundamental datastructure, loops, functions and class, input/output, plotting
Jupyter Notebook
19
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3

quantum-computing

πŸ“– Introduction to Quantum Computing and Projects πŸš€
Jupyter Notebook
7
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4

numpy

:octocat: Numpy for handling n-dim array, algebraic operation, plotting, statistics, and NumPy array functions πŸš€
Jupyter Notebook
6
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5

scipy

:octocat: Introduction to Scientific Computing (e.g., differentiation, integration, interpolation, differential equations) with Numpy, Scipy, Matplotlib, Pandas
Jupyter Notebook
3
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6

pandas

:octocat: Pandas for Data frame, indexing, lambda functions, and Data visualization πŸš€
Jupyter Notebook
3
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7

documentation

:octocat: Documentation: Jupyter Notebook (Title, paragraph, table, figure etc), Math (Matrix, Equation etc), Mkdock website creation πŸŽ“
Jupyter Notebook
3
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8

npshub.github.io

🌏 NPS School of Computing GitHub Website
CSS
2
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9

numerical-methods

πŸ“– Numerical Methods
Jupyter Notebook
1
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10

nuclear-physics

πŸ“– Projects in Nuclear and Particle Physics
Jupyter Notebook
1
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11

statistical-mechanics

πŸ“– Projects in Statistical Mechanics
Jupyter Notebook
1
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12

network-and-complex-system

πŸ“– Tutorials and projects in Graph, Network and Complex System
Jupyter Notebook
1
star
13

classical-mechanics

πŸ“– Projects in Classical Mechanics
Jupyter Notebook
1
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14

electrodynamics

πŸ“– Projects in Classical Electrodynamics
Jupyter Notebook
1
star
15

visualization

:octocat: Data Visualization with Matplotlib, Pandas, Seaborn , Plotly, Bohek πŸš€
Jupyter Notebook
1
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16

optimization

πŸ“– Theory and Models in Optimization (e.g., finding the minimum of a function, finding roots, global and local minimum)
Jupyter Notebook
1
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