Hiring Companies

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66% OFF OFFER Dell Ms116 275-BBCB Optical  w ired Mouse at just 219/-              Data science consulting companies are a hot choice if you’re looking for a job in the field. They offer numerous development opportunities, access to the latest technologies, and provide data-based solutions for top-notch companies across the globe. Furthermore, on top of generous salaries, they seem to have tons of cool perks – from unlimited vacation days and free meals to hair salons and masseuses on site. This doesn’t make your choice any simpler, though. With so many industries and companies out there, it’s hard to keep track of who-offers-what-and-where. So, watch this video to find out which companies provide the best overall employee experience in 2020! Freshers for Data Science Roles:   Mu Sigma, Fractal Analytics, Exponentia, Clover Infotech,...
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jupyter Notebook tutorial

Definition:
“The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.”
what is jupyter notebook...?
This tutorial explains what is jupyter or ipython notebook. Jupyter or ipython notebook is a web application that allows you to run live code, embed visualizations and explanatory text all in one place.



what is anaconda..?Install anaconda on Windows
Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. The Anaconda distribution includes data-science packages suitable for Windows, Linux, and MacOS.




jupyter notebook tutorial:



Numpy tutorial:
NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays.It is the fundamental package for scientific computing with Python. It contains various features including these important ones:
  • A powerful N-dimensional array object
  • Sophisticated (broadcasting) functions
  • Tools for integrating C/C++ and Fortran code
  • Useful linear algebra, Fourier transform, and random number capabilities


Numpy Basic Operations:
various operations around array object in numpy such as array properties (ndim, shape, itemsize, size etc.), math operations (min, max, sqrt, std etc.) arange, reshape etc.





iterate Numpy array using nditer:
nditer can be used to iterate through numpy array in variety of ways. C style and F style iteration is possible using flags in nditer. You can also iterate two broadcastable arrays concurrently using nditer













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