Big Presence

Let's grow together

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A digital creative and inbound marketing agency helping growth-stage companies and startups build their online presence. The Big Presence team consists of developers and marketers with tons of client-side and agency-side experience that gives clients the distinct advantage o...
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< $25/hr
10 - 49
2013
United States
Big Presence
Let's grow together
0.00/5 (0 Reviews)
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Web Design, Social Media, Inbound Marketing, Web Development, Application Development, and Startup Consulting

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Advanced humanoid robots are capable of simulating humans in all respects. Like darwin’s theory of evolution, they achieved this milestone through technological evolution. This was possible because we are getting better in communicating with electronics through high-level programming languages like Python.   A humanoid robot is just one of the instances; the magic of programming Python spans even to Galaxy. NASA uses Python to program its space equipment.   Python is extremely easy to handle. It enables programmers to write fewer lines of code and make it more readable. Even non-programmers can learn the Python language with ease. But what it is there that makes Python the best programming language for Big Data.     ( Image source: MVHS)      Big Data     (Image Source: geekmusthave)   The general misconception of Big data is that it is about the volume/size of data. But Big data is more than the volume or size. It is referred to the large amounts of data which is pouring in from various data sources and has different formats.       Usually, you gather data in these formats.     Unstructured data: Audio, video files etc.   Semi-Structured data: XML, JSON   Structured data: RDBMS    Later, this data is made more meaningful with data cleansing technique and used for various purposes like business process enhancement, customer acquisition, improving user experience, etc. Take the example of Netflix, which uses Big Data analytics to make shows and movie recommendations to its users.    There are few other sectors that uses Big Data involves Banking, Transportation, Health care units, Government Organization, and so on.      Big data is also described with its 5V’s- Volume- huge amount of data, Variety- different formats of data, Value- extract useful information from data, Velocity- accumulating data with speed, and Veracity- analysing uncertainty and inconsistency in data.     ( Image source: edureka)      Reasons why Python is best for Big Data    Python does not need to be compiled as it is an interpreted language . Interpreter actually parses the program code for generating the output.   In Python, variable types are defined automatically.   It supports an advanced library to implement machine learning algorithms. This is an advantage for the science community that deals with the scientific data.       NumPy: You can call this a science-geek library. It supplies an extensive library of high-level mathematical and numerical functions   matplotlib: It is a multi-platform data visualization library and feeds huge amounts of data in an easily digestible visuals   Scikit-learn: Scikit-learn provides a range of supervised and unsupervised learning algorithms.   Pandas: It allows various data manipulation operations such as groupby, join, merge, melt, concatenation as well as data cleaning   Tensorflow : Developed by Google’s team this Machine Learning library is used for research in deep neural networks   PyBrain: It contains algorithms for neural networks.   Scipy:It supports linear algebra, interpolation, FFT, ODE solvers, signal & image processing that is essential for scientific and technical computing        4. Hadoop is a popular open-source big data platform. Its inherent compatibility with Python makes it a preferred language for Big data   5. Scalable applications can be created with python programming. Python also has the ability to integrate itself with web applications very easily.   6. It is more preferable when data-analytics is required.  
Advanced humanoid robots are capable of simulating humans in all respects. Like darwin’s theory of evolution, they achieved this milestone through technological evolution. This was possible because we are getting better in communicating with electronics through high-level programming languages like Python.   A humanoid robot is just one of the instances; the magic of programming Python spans even to Galaxy. NASA uses Python to program its space equipment.   Python is extremely easy to handle. It enables programmers to write fewer lines of code and make it more readable. Even non-programmers can learn the Python language with ease. But what it is there that makes Python the best programming language for Big Data.     ( Image source: MVHS)      Big Data     (Image Source: geekmusthave)   The general misconception of Big data is that it is about the volume/size of data. But Big data is more than the volume or size. It is referred to the large amounts of data which is pouring in from various data sources and has different formats.       Usually, you gather data in these formats.     Unstructured data: Audio, video files etc.   Semi-Structured data: XML, JSON   Structured data: RDBMS    Later, this data is made more meaningful with data cleansing technique and used for various purposes like business process enhancement, customer acquisition, improving user experience, etc. Take the example of Netflix, which uses Big Data analytics to make shows and movie recommendations to its users.    There are few other sectors that uses Big Data involves Banking, Transportation, Health care units, Government Organization, and so on.      Big data is also described with its 5V’s- Volume- huge amount of data, Variety- different formats of data, Value- extract useful information from data, Velocity- accumulating data with speed, and Veracity- analysing uncertainty and inconsistency in data.     ( Image source: edureka)      Reasons why Python is best for Big Data    Python does not need to be compiled as it is an interpreted language . Interpreter actually parses the program code for generating the output.   In Python, variable types are defined automatically.   It supports an advanced library to implement machine learning algorithms. This is an advantage for the science community that deals with the scientific data.       NumPy: You can call this a science-geek library. It supplies an extensive library of high-level mathematical and numerical functions   matplotlib: It is a multi-platform data visualization library and feeds huge amounts of data in an easily digestible visuals   Scikit-learn: Scikit-learn provides a range of supervised and unsupervised learning algorithms.   Pandas: It allows various data manipulation operations such as groupby, join, merge, melt, concatenation as well as data cleaning   Tensorflow : Developed by Google’s team this Machine Learning library is used for research in deep neural networks   PyBrain: It contains algorithms for neural networks.   Scipy:It supports linear algebra, interpolation, FFT, ODE solvers, signal & image processing that is essential for scientific and technical computing        4. Hadoop is a popular open-source big data platform. Its inherent compatibility with Python makes it a preferred language for Big data   5. Scalable applications can be created with python programming. Python also has the ability to integrate itself with web applications very easily.   6. It is more preferable when data-analytics is required.  

Advanced humanoid robots are capable of simulating humans in all respects. Like darwin’s theory of evolution, they achieved this milestone through technological evolution. This was possible because we are getting better in communicating with electronics through high-level programming languages like Python.  

A humanoid robot is just one of the instances; the magic of programming Python spans even to Galaxy. NASA uses Python to program its space equipment.  

Python is extremely easy to handle. It enables programmers to write fewer lines of code and make it more readable. Even non-programmers can learn the Python language with ease. But what it is there that makes Python the best programming language for Big Data.  

 

( Image source: MVHS)  

  

Big Data  

 

(Image Source: geekmusthave)  

The general misconception of Big data is that it is about the volume/size of data. But Big data is more than the volume or size. It is referred to the large amounts of data which is pouring in from various data sources and has different formats.   

  

Usually, you gather data in these formats.    

  • Unstructured data: Audio, video files etc.  
  • Semi-Structured data: XML, JSON  
  • Structured data: RDBMS
       

Later, this data is made more meaningful with data cleansing technique and used for various purposes like business process enhancement, customer acquisition, improving user experience, etc. Take the example of Netflix, which uses Big Data analytics to make shows and movie recommendations to its users.   

There are few other sectors that uses Big Data involves Banking, Transportation, Health care units, Government Organization, and so on.  

  

Big data is also described with its 5V’s- Volume- huge amount of data, Variety- different formats of data, Value- extract useful information from data, Velocity- accumulating data with speed, and Veracity- analysing uncertainty and inconsistency in data.  

 

( Image source: edureka)  

  

Reasons why Python is best for Big Data   

  1. Python does not need to be compiled as it is an interpreted language . Interpreter actually parses the program code for generating the output.
      
  2. In Python, variable types are defined automatically.
      
  3. It supports an advanced library to implement machine learning algorithms. This is an advantage for the science community that deals with the scientific data.      
  • NumPy: You can call this a science-geek library. It supplies an extensive library of high-level mathematical and numerical functions  
  • matplotlib: It is a multi-platform data visualization library and feeds huge amounts of data in an easily digestible visuals  
  • Scikit-learn: Scikit-learn provides a range of supervised and unsupervised learning algorithms.  
  • Pandas: It allows various data manipulation operations such as groupby, join, merge, melt, concatenation as well as data cleaning  
  • Tensorflow : Developed by Google’s team this Machine Learning library is used for research in deep neural networks  
  • PyBrain: It contains algorithms for neural networks.  
  • Scipy:It supports linear algebra, interpolation, FFT, ODE solvers, signal & image processing that is essential for scientific and technical computing    

  

4. Hadoop is a popular open-source big data platform. Its inherent compatibility with Python makes it a preferred language for Big data
  

5. Scalable applications can be created with python programming. Python also has the ability to integrate itself with web applications very easily.
  

6. It is more preferable when data-analytics is required.

  

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Big Presence
3020 Newport Blvd, Newport Beach, CA , Orange County, California 92663
United States
9498257023
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