-- :lucide-sigma: **soerp3**
+-
pyswarm
---
- Second-order error propagation (uncertainty analysis) for Python.
- Transparently tracks uncertainty through mathematical calculations using
- the first eight statistical moments.
+ Particle Swarm Optimization for Python.
- **License:** BSD-3-Clause | **PyPI:** `pip install soerp3`
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/pyswarm/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/pyswarm)
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/soerp3/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/soerp3)
-
-- :lucide-grid-2x2: **sparse\_grid**
+-
pydoe
---
- Pure-Python implementation of regular sparse grids over box domains.
- Provides hierarchical index generation, coefficient conversion, and
- fast function evaluation using hat basis functions.
-
- **License:** BSD-3-Clause | **PyPI:** `pip install sparse-grid`
+ Design of Experiments for Python.
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/sparse_grid/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/sparse_grid)
+ [:fontawesome-solid-book: Documentation](https://pydoe.github.io/pydoe/)
+ [:fontawesome-brands-github: GitHub](https://github.com/pydoe/pydoe)
-- :lucide-function-square: **polpack**
+-
mcerp
---
- Special functions and recursively-defined polynomial families for Python.
- Fortran-backed routines for Bernoulli, Chebyshev, Gegenbauer, Hermite,
- Laguerre, Legendre polynomials, and more.
-
- **License:** LGPL-2.1 | **PyPI:** `pip install polpack`
+ Monte Carlo error propagation for uncertainty analysis in Python.
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/polpack/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/polpack)
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/mcerp/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/mcerp)
-- :lucide-calculator: **smolpack**
+-
soerp
---
- Multidimensional quadrature over the unit hypercube using Smolyak's
- sparse-grid algorithm with Clenshaw–Curtis rules. Delayed and standard
- variants provided.
+ Second-order error propagation for uncertainty analysis in Python.
- **License:** LGPL-2.1 | **PyPI:** `pip install smolpack`
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/soerp/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/soerp)
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/smolpack/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/smolpack)
-
-- :lucide-trending-up: **sdepack**
+-
ad
---
- Runge–Kutta numerical integration of stochastic differential equations.
- Solvers from first-order Euler–Maruyama to fourth-order stochastic RK
- methods using Kasdin coefficients.
-
- **License:** MIT | **PyPI:** `pip install sdepack`
-
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/sdepack/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/sdepack)
-
-- :lucide-zap: **deltaFlow**
-
- ---
-
- Power system analysis tool for steady-state and dynamic simulation of
- electrical networks. Built for engineers and researchers working on
- grid analysis and planning.
-
- **License:** Open Source
+ First- and second-order automatic differentiation for Python.
- [:octicons-arrow-right-24: Documentation](https://eggzec.github.io/deltaFlow/)
- [:fontawesome-brands-github: Source](https://github.com/eggzec/deltaFlow)
+ [:fontawesome-solid-book: Documentation](https://pythonhosted.org/ad/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/ad)
-- :lucide-table: **NULAPACK**
+-
qtop
---
- NUmerical Linear Algebra PACKage — lightweight, high-performance routines
- implemented in Fortran with Python and C++ interfaces. Developed under
- the `nulapack` organisation.
+ HPC queue and cluster monitor.
- **License:** GPL-3.0 | **PyPI:** `pip install nulapack`
-
- [:octicons-arrow-right-24: Documentation](https://nulapack.github.io/NULAPACK/)
- [:fontawesome-brands-github: Source](https://github.com/nulapack/nulapack)
-
-- :lucide-flask-conical: **pydoe**
-
- ---
-
- Design of Experiments for Python — full-factorial, fractional-factorial,
- Plackett–Burman, Box–Behnken, central composite, and Latin Hypercube
- designs. Developed under the `pydoe` organisation.
-
- **License:** BSD-3-Clause | **PyPI:** `pip install pydoe`
-
- [:octicons-arrow-right-24: Documentation](https://pydoe.github.io/pydoe/)
- [:fontawesome-brands-github: Source](https://github.com/pydoe/pydoe)
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/qtop/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/qtop)
----
+- :fontawesome-brands-github: **bb**
-## Numerical Analysis
+ ---
-### soerp3
+ A Bitbucket CLI and SDK client.
-**Second Order Error Propagation for Python**
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/bb)
-`soerp3` is the Python implementation of the original Fortran code `SOERP` by N. D. Cox. It applies a second-order analysis to error propagation (uncertainty analysis), allowing you to transparently track the effects of uncertainty through mathematical calculations. The result of all calculations produces a *mean*, *variance*, and *standardized skewness and kurtosis* coefficients.
+- :fontawesome-brands-github: **vatic**
-The package requires the **first eight statistical moments** of the input distributions (mean, variance, and standardized 3rd–8th moments). These can be supplied manually, or generated using built-in constructors or `scipy.stats` distributions.
+ ---
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/soerp3](https://github.com/eggzec/soerp3) |
-| **Documentation** | [eggzec.github.io/soerp3](https://eggzec.github.io/soerp3/) |
-| **PyPI** | `pip install soerp3` |
-| **License** | BSD-3-Clause |
+ Open-source risk analysis with predictive modeling and Monte Carlo
+ simulation for uncertainty workflows.
-```python
-from soerp3 import N, umath
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/vatic)
-H = N(64, 0.5) # Normal(mean=64, std=0.5)
-M = N(16, 0.1)
-P = N(361, 2)
-t = N(165, 0.5)
-C = 38.4
-Q = C * umath.sqrt((520 * H * P) / (M * (t + 460)))
-Q.describe()
-```
+-
qtop
----
+ ---
-### sparse\_grid
+ Text-mode HPC queue monitor for PBS, SGE, and OAR clusters.
-**A Python Sparse Grid Package**
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/qtop/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/qtop)
-`sparse_grid` is a pure-Python implementation of regular sparse grids over box domains. It provides hierarchical index generation, nodal-to-hierarchical coefficient conversion, and fast function evaluation using the hat (piecewise-linear) basis.
+-
pyswarm
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/sparse_grid](https://github.com/eggzec/sparse_grid) |
-| **Documentation** | [eggzec.github.io/sparse_grid](https://eggzec.github.io/sparse_grid/) |
-| **PyPI** | `pip install sparse-grid` |
-| **License** | BSD-3-Clause |
+ ---
-```python
-from sparse_grid import SparseGrid
+ Particle Swarm Optimization (PSO) for Python with a lightweight API for
+ constrained, gradient-free optimization.
-sg = SparseGrid(dim=2, level=3)
-sg.generate_points()
-for index in sg.indices:
- pos = sg.g_p[tuple(index)].pos
- sg.g_p[tuple(index)].fv = (
- 4.0 * pos[0] * (1.0 - pos[0]) * 4.0 * pos[1] * (1.0 - pos[1])
- )
-sg.nodal_2_hier()
-print(sg.eval_funct([0.25, 0.75]))
-```
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/pyswarm/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/pyswarm)
----
+-
pydoe
-### kronrod
+ ---
-**Gauss-Kronrod Quadrature Rules for Python**
+ Design of Experiments package for Python with factorial,
+ response-surface, space-filling, and optimal design methods.
-`kronrod` computes abscissas and weights of Gauss-Kronrod quadrature rules. It optimally adds N+1 points to an N-point Gauss rule to produce a (2N+1)-point Gauss-Kronrod rule for numerical integration, allowing function values from the Gauss rule to be reused.
+ [:fontawesome-solid-book: Documentation](https://pydoe.github.io/pydoe/)
+ [:fontawesome-brands-github: GitHub](https://github.com/pydoe/pydoe)
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/kronrod](https://github.com/eggzec/kronrod) |
-| **PyPI** | `pip install kronrod` |
-| **License** | LGPL-2.1 |
+-
mcerp
----
+ ---
-### smolpack
+ Real-time Monte Carlo error propagation for Python using
+ latin-hypercube sampling.
-**Multidimensional Quadrature Using Sparse Grids for Python**
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/mcerp/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/mcerp)
-`smolpack` is a high-performance library for numerical integration (cubature) over the unit hypercube [0,1]^d using Smolyak's algorithm with Clenshaw–Curtis quadrature rules. Two solvers are provided: a *delayed Clenshaw–Curtis* variant (fewer function evaluations) and a *standard Clenshaw–Curtis* variant.
+-
soerp
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/smolpack](https://github.com/eggzec/smolpack) |
-| **Documentation** | [eggzec.github.io/smolpack](https://eggzec.github.io/smolpack/) |
-| **PyPI** | `pip install smolpack` |
-| **License** | LGPL-2.1 |
+ ---
-```python
-import numpy as np
-import smolpack
+ Second-order error propagation for Python to track uncertainty through
+ mathematical models using distribution moments.
-def my_func(dim, x):
- return np.exp(np.sum(x))
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/soerp/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/soerp)
-result = smolpack.int_smolyak(my_func, dim=3, qq=5)
-```
+-
ad
----
+ ---
-### sdepack
+ First- and second-order automatic differentiation for Python with
+ transparent numerical operations.
-**Runge–Kutta Numerical Integration of Stochastic Differential Equations**
+ [:fontawesome-solid-book: Documentation](https://pythonhosted.org/ad/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/ad)
-`sdepack` provides high-performance numerical solvers for scalar Itô SDEs of the form:
+- :fontawesome-brands-github: **sdepack**
-$$dX(t) = F(X, t)\,dt + Q\,G(X, t)\,dW(t)$$
+ ---
-Solvers range from the first-order **Euler–Maruyama** scheme to fourth-order stochastic Runge–Kutta methods using Kasdin coefficients. All solvers are deterministic via seed-controlled integration.
+ Stochastic Runge-Kutta solvers for scalar Ito SDEs, from Euler-Maruyama
+ to higher-order schemes.
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/sdepack](https://github.com/eggzec/sdepack) |
-| **Documentation** | [eggzec.github.io/sdepack](https://eggzec.github.io/sdepack/) |
-| **PyPI** | `pip install sdepack` |
-| **License** | MIT |
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/sdepack/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/sdepack)
-```python
-import numpy as np
-import sdepack
+- :fontawesome-brands-github: **smolpack**
-x = np.zeros(101, dtype=np.float64)
-sdepack.rk4_ti_solve(
- lambda x: -0.5 * x, # drift
- lambda x: 1.0, # diffusion
- x, 0.0, 10.0, 1.0, 100, 0.1, 42
-)
-```
+ ---
----
+ Multidimensional cubature over `[0,1]^d` using Smolyak sparse-grid
+ construction with Clenshaw-Curtis rules.
-## Special Functions & Algebra
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/smolpack/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/smolpack)
-### polpack
+-
NULAPACK
-**Special Functions and Recursively-Defined Polynomial Families**
+ ---
-`polpack` is a high-performance library for evaluating special functions and recursively-defined polynomial families. The numerical core is written in Fortran and compiled via `f2py`. It includes routines for **Bernoulli**, **Chebyshev**, **Gegenbauer**, **Hermite**, **Laguerre**, and **Legendre** polynomials, among others, as well as combinatorial functions.
+ Numerical linear algebra package with Fortran core subroutines and
+ Python/C++ interfaces.
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/polpack](https://github.com/eggzec/polpack) |
-| **Documentation** | [eggzec.github.io/polpack](https://eggzec.github.io/polpack/) |
-| **PyPI** | `pip install polpack` |
-| **License** | LGPL-2.1 |
+ [:fontawesome-solid-book: Documentation](https://nulapack.github.io/NULAPACK/)
+ [:fontawesome-brands-github: GitHub](https://github.com/NULAPACK/NULAPACK)
-```python
-import numpy as np
-import polpack
+- :fontawesome-brands-github: **polpack**
-bell = np.zeros(11, dtype=np.int32)
-polpack.bell(10, bell)
-print(f"Bell numbers: {bell}")
-```
+ ---
----
+ High-performance special functions and polynomial families with a
+ Fortran numerical core.
-### cordic
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/polpack/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/polpack)
-**CORDIC Algorithm for Python**
+- :fontawesome-brands-github: **kronrod**
-`cordic` is a high-performance Python library implementing the CORDIC (COordinate Rotation DIgital Computer) algorithm for evaluating trigonometric, hyperbolic, exponential, logarithmic, and root functions using only shifts, additions, and a small look-up table. The core is written in C.
+ ---
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/cordic](https://github.com/eggzec/cordic) |
-| **PyPI** | `pip install cordic` |
-| **License** | LGPL-2.1 |
+ Gauss-Kronrod quadrature rule generator for reusable high-accuracy
+ numerical integration.
----
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/kronrod/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/kronrod)
-### NULAPACK
+- :fontawesome-brands-github: **sparse_grid**
-**NUmerical Linear Algebra PACKage**
+ ---
-NULAPACK is a lightweight, high-performance numerical linear algebra library. Core subroutines are implemented in Fortran for efficiency, with convenient C++ and Python interfaces. Developed under the [nulapack](https://github.com/nulapack) organisation, maintained by eggzec contributors.
+ Pure-Python sparse grid implementation with hierarchical index generation
+ and fast hat-basis evaluation.
-| | |
-|---|---|
-| **Repository** | [github.com/nulapack/nulapack](https://github.com/nulapack/nulapack) |
-| **Documentation** | [nulapack.github.io/NULAPACK](https://nulapack.github.io/NULAPACK/) |
-| **PyPI** | `pip install nulapack` |
-| **License** | GPL-3.0 |
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/sparse_grid/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/sparse_grid)
----
+- :fontawesome-brands-github: **cordic**
-## Engineering & Design
+ ---
-### deltaFlow
+ CORDIC-based trigonometric, hyperbolic, exponential, logarithmic, and
+ root-function evaluation library for Python.
-**Power System Analysis Tool**
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/cordic/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/cordic)
-`deltaFlow` is a power system analysis tool for steady-state and dynamic simulation of electrical networks. It is designed for engineers and researchers working on grid analysis, load flow studies, and power system planning.
+-
deltaFlow
-| | |
-|---|---|
-| **Repository** | [github.com/eggzec/deltaFlow](https://github.com/eggzec/deltaFlow) |
-| **Documentation** | [eggzec.github.io/deltaFlow](https://eggzec.github.io/deltaFlow/) |
-| **License** | GPL-3.0 |
+ ---
----
+ Command-line power-flow analysis tool for electrical systems using
+ Gauss-Seidel and Newton-Raphson solvers.
-### pydoe
+ [:fontawesome-solid-book: Documentation](https://eggzec.github.io/deltaFlow/)
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/deltaFlow)
-**Design of Experiments for Python**
+-
JavaDOE
-`pydoe` enables scientists, engineers, and statisticians to efficiently construct experimental designs. It provides extensive support for factorial, response surface, and space-filling designs. Developed under the [pydoe](https://github.com/pydoe) organisation, maintained by eggzec contributors.
+ ---
-Supported design families:
+ Java Design of Experiments library including Box-Behnken, central
+ composite, and factorial designs.
-- Full-Factorial and 2-level Full-Factorial
-- Fractional Factorial (with aliasing, resolution, and optimal selection)
-- Plackett–Burman
-- Generalized Subset Designs
-- Box–Behnken, Central Composite
-- Latin Hypercube Sampling
+ [:fontawesome-brands-github: GitHub](https://github.com/Java-DOE/JavaDOE)
-| | |
-|---|---|
-| **Repository** | [github.com/pydoe/pydoe](https://github.com/pydoe/pydoe) |
-| **Documentation** | [pydoe.github.io/pydoe](https://pydoe.github.io/pydoe/) |
-| **PyPI** | `pip install pydoe` |
-| **Conda** | `conda install -c conda-forge pydoe` |
-| **License** | BSD-3-Clause |
+- :fontawesome-brands-github: **qweb**
----
+ ---
-### JavaDOE
+ Web interface for Sun Grid Engine with job submission, monitoring, and
+ cluster management endpoints.
-**Design of Experiments Library for Java**
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/qweb)
-`JavaDOE` is a comprehensive Java library for Design of Experiments (DOE) algorithms, including Box–Behnken, Central Composite, Factorial, and other DOE methods. Developed under the [Java-DOE](https://github.com/Java-DOE) organisation, maintained by eggzec contributors.
+
-## In Progress
+- :fontawesome-brands-github: **pyact**
-### permit
+ ---
-**License as a Service (LaaS) MVP**
+ Python wrapper around `nektos/act` for local GitHub Actions workflows.
-`permit` is a minimal viable product exploring license-as-a-service infrastructure — programmatic license issuance, verification, and management for software projects.
+ [:fontawesome-brands-github: GitHub](https://github.com/laraibg786/pyact)
-[:fontawesome-brands-github: github.com/eggzec/permit](https://github.com/eggzec/permit)
+- :fontawesome-brands-github: **pydanticInput**
----
+ ---
-### qqq
+ Input-validation utility project built around Pydantic, currently under
+ active development.
-**Web Interface for Sun Grid Engine**
+ [:fontawesome-brands-github: GitHub](https://github.com/laraibg786/pydanticInput)
-`qqq` is a web interface for Sun Grid Engine (SGE) that visualises cluster jobs and allows basic job management. Useful for HPC users who prefer a browser-based view over the `qstat` command line.
+- :fontawesome-brands-github: **codeCurfew**
-[:fontawesome-brands-github: github.com/eggzec/qqq](https://github.com/eggzec/qqq)
+ ---
----
+ Go-based tooling project currently in progress.
-### pyact
+ [:fontawesome-brands-github: GitHub](https://github.com/laraibg786/codeCurfew)
-Early-stage Python package currently in active development.
+- :fontawesome-brands-github: **permit**
-[:fontawesome-brands-github: github.com/eggzec/pyact](https://github.com/eggzec/pyact)
-
----
-
-### pydanticInput
-
-Early-stage Python package currently in active development.
-
-[:fontawesome-brands-github: github.com/eggzec/pydanticInput](https://github.com/eggzec/pydanticInput)
-
----
-
-### scikit-ode
-
-**Differential Equation Solver for Python**
-
-Early-stage Python package currently in active development.
-
-[:fontawesome-brands-github: github.com/eggzec/scikit-ode](https://github.com/eggzec/scikit-ode)
-
----
+ ---
-### codeCurfew
+ License as a Service MVP exploring programmatic license issuance and
+ verification flows.
-Early-stage project currently in active development.
+ [:fontawesome-brands-github: GitHub](https://github.com/eggzec/permit)
-[:fontawesome-brands-github: github.com/eggzec/codeCurfew](https://github.com/eggzec/codeCurfew)
+
diff --git a/zensical.toml b/zensical.toml
index 84b8d09..e097d87 100644
--- a/zensical.toml
+++ b/zensical.toml
@@ -12,7 +12,17 @@ Copyright © 2026 eggzec
nav = [
{ "Home" = "index.md" },
{ "Projects" = "projects/index.md" },
- { "Community" = "community/index.md" },
+ { "Community" = [
+ { "Overview" = "community/index.md" },
+ { "M. Saud Zahir" = "community/saud.md" },
+ { "M. Laraib Ali" = "community/laraib.md" },
+ { "Noor Mustafa" = "community/noor.md" },
+ ]
+ },
+ { "How We Build" = "how-we-build.md" },
+ { "Contributing" = "contributing.md" },
+ { "Contact" = "contact.md" },
+ { "Blogs" = "blogs/index.md" },
]
extra_javascript = [
@@ -20,6 +30,10 @@ extra_javascript = [
"https://unpkg.com/mathjax@3/es5/tex-mml-chtml.js",
]
+extra_css = [
+ "assets/stylesheets/extra.css",
+]
+
# ----------------------------------------------------------------------------
# Theme
# ----------------------------------------------------------------------------
@@ -27,6 +41,7 @@ extra_javascript = [
language = "en"
logo = "assets/images/logo.png"
+favicon = "assets/images/logo.png"
features = [
"announce.dismiss",
@@ -40,7 +55,6 @@ features = [
"navigation.indexes",
"navigation.instant",
"navigation.instant.prefetch",
- "navigation.path",
"navigation.sections",
"navigation.tabs",
"navigation.top",
@@ -54,14 +68,7 @@ features = [
# Color palette
# ----------------------------------------------------------------------------
[[project.theme.palette]]
-scheme = "default"
-toggle.icon = "lucide/sun"
-toggle.name = "Switch to dark mode"
-
-[[project.theme.palette]]
-scheme = "slate"
-toggle.icon = "lucide/moon"
-toggle.name = "Switch to light mode"
+scheme = "default"
# ----------------------------------------------------------------------------
# Social links
+ 
+
Saud Zahir
+- 
M. Saud Zahir
---
- Co-founder and maintainer. Works across the full stack of eggzec packages — numerical methods, Fortran extensions, Python APIs, and CI/CD infrastructure.
-
- [:fontawesome-brands-github: saudzahirr](https://github.com/saudzahirr)
+ Co-founder and maintainer. Software developer focused on Python, C++,
+ and Rust for backend services and high-performance scientific computing.
-- 
M Laraib Ali
+- 
M. Laraib Ali
---
- Co-founder and maintainer. Contributes to package development, testing, and documentation across the eggzec ecosystem.
+ Co-founder and maintainer. Backend and systems engineer specializing in
+ Python and Go, Linux automation, PostgreSQL, observability, and containers.
- [:fontawesome-brands-github: laraibg786](https://github.com/laraibg786)
-
-- 
Noor Mustafa
+- 
Noor Mustafa
---
- Contributor and member of the eggzec organisation.
-
- [:fontawesome-brands-github: Noor-Mustafa123](https://github.com/Noor-Mustafa123)
+ Maintainer. Java-focused backend developer working with Spring, Nginx,
+ IntelliJ IDEA, Kotlin, and Python.
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+
+ 
+ 
+ 
+ 
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