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NEWS & EVENTS

Though the fig three does not bud and there are no grapes on the vines, though the Olive Crop fails and the Field produce no Food, though there are no Sheep in the pen and no Cattle in the Stalls, yet I will rejoice in the Lord, I will be joyful in the Lord my Saviour! The sovereign Lord is my Strength; He makes my feet like the feet of a Deer, He enables me to go on the *Height* Today I will wake the Dawn and ride on the wings of the Morning! In the face of the Time, at the pinnacle of my childhood heart! I will play the Tune, the unaltered Instrument, invisible to the world sight, incomprehensible to the human mind, indispensable to the Eternal Creation! To the heart unlearned, babe and the weakling: TO THE MUSIC AND MELODY OF A BELOVED FRIEND, AKA THE REFLEX OF HIS. GOOD MORNING FAMILY AND FRIENDS

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SPSS 16 WORKSHOP TRAINNING

 

Learn more about using open source Programming Applications and Mathematical Tools:
R 3.1.3, SPSS 19, PL/SQL, MAT-LAB R2014b and Python 3.3.3
For: Data Analysis, Predictive and Business Modelling, Data Mining, Management Science and Operational Research, System Design [DML] and Simulation [GA] from International Certified Scholars and all Star of Computational Mathematician and Programmer.
For more info: 

Download the attachment or visit: https://unilag.academia.edu/SayoAluko

 FOR FURTHER INFORMATION. http://alukosayoenoch.wix.com/selfcoding

Python Programming Language

 

Python is a widely used general-purpose, high-level programming language.[19][20][21] Its design philosophy emphasizes codereadability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java.[22][23] The language provides constructs intended to enable clear programs on both a small and large scale.[24]

 

Stat

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Matlab Application Tool

 

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python.

Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

R Statistical Programming

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, survey of data miner and studies of scholarly literature databases show that R's popularity has increased substantially in recent years

R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. There are some important differences, but much of the code written for S runs unaltered

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SPSS Statistical Package.

 

SPSS Statistics is a software package used for statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions (2015) are officially named IBM SPSS Statistics. Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

The software name originally stood for Statistical Package for the Social Sciences (SPSS),[2] reflecting the original market, although the software is now popular in other fields as well, including the health sciences and marketing

Sanitizer (Python 3 version, 3.3.3)

clean = False

while clean == False:

   laptops = raw_input('How many laptops have you drop: ')

   phones = raw_input('How many phones have you broke: ')

   if laptops.isdigit() and phones.isdigit():

      clean = True

print int(laptops)+int(phones)

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