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From the brand

Clean Beauty Vegan Cruelty FreeClean Beauty Vegan Cruelty Free
Wander BeautyWander Beauty
Multitasking beauty essentials, to keep women everywhere gorgeous on the go!

Our story


How we got our start?
Modern women are more time-starved than ever before. Divya Gugnani, serial entrepreneur amp; mom of two and Lindsay Ellingson, jet-setting supermodel, spent their days multitasking but their beauty products weren't doing the same. They decided to create a line of multitasking beauty essentials.
What makes our product unique?
We are clean, cruelty-free and free of parabens, phthalates, sulfates, mineral oil and synthetic fragrance. All of our formulas are enriched with skin-loving ingredients that work with your skin, not against it.
Why we love what we do?
Fewer products that let you do more means less time at the vanity and more space in your beauty bag. All of our multitaskers are enriched with clean, globally sourced, skin-loving ingredients that work with your skin, not against it.

Product Description

Wander Beauty Nude Illusion Liquid Foundation

liquid foundation arm swatchesliquid foundation arm swatches

Create the Perfect Nude Illusion with this On-the-Go Makeup Essential

This formula delivers an undetectable finish that makes blemishes, redness and discoloration disappear. With medium-to-full buildable coverage, this foundation delivers a natural, radiant, skin-like finish.

Designed in a travel-friendly tube with a doe-foot applicator made for multitasking. You can easily apply and blend all over as foundation or target areas to spot correct and conceal.

Enriched with niacinamide to reduce the appearance of wrinkles and even skin tone. Lotus extract helps to balance sebum production and improve the elasticity of skin over time.

INFUSED WITH NATURAL INGREDIENTS

  • SODIUM HYALURONATE - A powerful humectant that plumps and retains moisture, making skin look more supple and provides a more youthful appearance.
  • PASSIFLORA INCARNATA EXTRACT - Rich in linoleic acid, an omega-6 fatty acid that hydrates and reduces inflammation. Contains vitamins A and C to soothe, hydrate and calm irritated skin.
  • LOTUS EXTRACT - Naturally contains alpha-hydroxy acids that help exfoliate and regenerate the outer layers of skin for a youthful glow. Hydrates and quenches dry skin, increases skin elasticity, reduces fine lines and balances the skin’s sebum production.
  • BLACK CURRANT FRUIT EXTRAC - Contains four times the amount of vitamin C as oranges and two times the amount of antioxidants as blueberries, which works to metabolize protein and form collagen, which leaves skin more youthful.
  • CENTELLA ASIATICA EXTRACT - Rich in amino acids, beta carotene, fatty acids and phytochemicals that provide anti-aging and healing benefits. Known to improve circulation and collagen synthesis for more youthful-looking skin.
  • NIACINAMIDE - A form of vitamin B3 that works with the natural substances in your skin to reduce the appearance of wrinkles, even skin tone, and improve the appearance of enlarged pores. Niacinamide has also been known to renew the skin’s surface and help retain moisture.

Foundation Liquid Makeup - Color Corrector - WANDER BEAUTY NUDE

NumPy
The fundamental package for scientific computing with Python
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Including NumPy, SciPy, Matplotlib and Pandas

Powerful N-dimensional arrays
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.

Numerical computing tools
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

Interoperable
NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.

Performant
The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.

Easy to use
NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level.

Open source
Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.
Try NumPy
Enable the interactive shell
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  • Nearly every scientist working in Python draws on the power of NumPy.

    NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

    Quantum Computing Statistical Computing Signal Processing Image Processing Graphs and Networks Astronomy Processes Cognitive Psychology
    QuTiP Pandas SciPy Scikit-image NetworkX AstroPy PsychoPy
    PyQuil statsmodels PyWavelets OpenCV graph-tool NICETOWN Blackout Curtain Panels 72 inches - Energy Saving Therm
    Qiskit Xarray python-control Mahotas Ambesonne Ethnic Throw Pillow Cushion Cover, Diamond Rhombus Sha SpacePy
    Seaborn Easy Spirit Women's Travelport Mule
    Bioinformatics Bayesian Inference Mathematical Analysis Chemistry Geoscience Geographic Processing Architecture & Engineering
    BioPython PyStan SciPy Cantera Pangeo Shapely COMPAS
    Scikit-Bio PyMC3 SymPy MDAnalysis Simpeg GeoPandas City Energy Analyst
    PyEnsembl ZODIAC - REGION 1 cvxpy RDKit ObsPy Folium Sverchok
    ETE emcee FEniCS Fatiando a Terra
  • NumPy's API is the starting point when libraries are written to exploit innovative hardware, create specialized array types, or add capabilities beyond what NumPy provides.

    Array Library Capabilities & Application areas
    LED NEON Light, IEKOV AC 110-120V Flexible LED Neon Strip Lights Distributed arrays and advanced parallelism for analytics, enabling performance at scale.
    CuPy NumPy-compatible array library for GPU-accelerated computing with Python.
    JAX Composable transformations of NumPy programs: differentiate, vectorize, just-in-time compilation to GPU/TPU.
    Xarray Labeled, indexed multi-dimensional arrays for advanced analytics and visualization
    Sparse NumPy-compatible sparse array library that integrates with Dask and SciPy's sparse linear algebra.
    PyTorch Deep learning framework that accelerates the path from research prototyping to production deployment.
    TensorFlow An end-to-end platform for machine learning to easily build and deploy ML powered applications.
    MXNet Deep learning framework suited for flexible research prototyping and production.
    Arrow A cross-language development platform for columnar in-memory data and analytics.
    xtensor Multi-dimensional arrays with broadcasting and lazy computing for numerical analysis.
    XND Develop libraries for array computing, recreating NumPy's foundational concepts.
    uarray Python backend system that decouples API from implementation; unumpy provides a NumPy API.
    tensorly Tensor learning, algebra and backends to seamlessly use NumPy, MXNet, PyTorch, TensorFlow or CuPy.
  • NumPy lies at the core of a rich ecosystem of data science libraries. A typical exploratory data science workflow might look like:

    For high data volumes, Dask and Ray are designed to scale. Stable deployments rely on data versioning (DVC), experiment tracking (MLFlow), and workflow automation (Airflow and Prefect).

  • NumPy forms the basis of powerful machine learning libraries like CHOK.LIDS Classic Cotton Wide Brim Bucket Hat with Adjustable St and SciPy. As machine learning grows, so does the list of libraries built on NumPy. Augwindy 11.8” / 3.9” Slime Monster Plush Toy Plushie Stuffed Do deep learning capabilities have broad applications — among them speech and image recognition, text-based applications, time-series analysis, and video detection. PyTorch, another deep learning library, is popular among researchers in computer vision and natural language processing. MXNet is another AI package, providing blueprints and templates for deep learning.

    Statistical techniques called ensemble methods such as binning, bagging, stacking, and boosting are among the ML algorithms implemented by tools such as XGBoost, LightGBM, and CatBoost — one of the fastest inference engines. Yellowbrick and Eli5 offer machine learning visualizations.

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  • NumPy is an essential component in the burgeoning Python visualization landscape, which includes Matplotlib, Seaborn, Plotly, Pet Parents Washable Dog Diapers Bundle of Doggie Diapers, Color, Bokeh, Holoviz, Vispy, Napari, and PyVista, to name a few.

    NumPy’s accelerated processing of large arrays allows researchers to visualize datasets far larger than native Python could handle.