Installing Talend Whilst Java 1.8 Is Already Installed on Windows 10 PC

Bydatapandasadmin August 24, 2016

I was installing Talend and I realised that Talend installation requires Java 1.7 or below but not any Java version above that. (as at the time of writing)

The installation quit straight away, giving a notification that it requires Java 1.7

These are the steps I followed to get Talend installation to succeed.

First I checked the Java version currently running just to confirm by running the command java -version at the command prompt
It was Java 1.8 so
I uninstalled the Java 1.8 through the control panel. (You can also simply delete the system variable path to the 1.8 from the Environmental System Variable)
Next I restarted my PC
I downloaded Java 1.7 from here: http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
Choosing the windows 64 bit version as my PC is as such and installed it
Next I set the System Variable path to the new Java 1.7 installation by copying the bin path of the Java 1.7 installation
Now I went to the System Environment Variables and added the new path there.
Now go to command prompt again and check java version. It should say 1.7.. now (you may have to restart to effect changes)

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Java

NullPointerException – Eg 1 When Instance of an Object Is set to Null and It Is Used as A reference

Bydatapandasadmin December 4, 2016

java.lang.NullPointerException exception is one of the most popular errors in Java and it is caused by so many issues. One of such issues is when an objected is initiated to a Null value and then its reference is used to call a method or a variable. Example is in the code below.

* To change this license header, choose License Headers in Project Properties.

* To change this template file, choose Tools | Templates

* and open the template in the editor.

package checkingnullpointers;

/**

* @author adaba

public class CheckingNullPointers {

//define some fields

private String field1 = null;

private String field2 = null;

public String getField1(){

return field1;

}

public void setField1(String field1){

this.field1 = field1;

}

public String getField2(){

return field2;

}

public void setField2(String field2){

this.field2 = field2 ;

}

/**

* method to greet

public void greet(){

System.out.println("Hello World");

}

/**

* @param args the command line arguments

public static void main(String[] args) {

try{

// TODO code application logic here

CheckingNullPointers chk = new CheckingNullPointers();

//CheckingNullPointers chk = null;

//chk.greet();

//initialise field1

chk.setField1("field1Value");

//do something

chk = doSomething();

//initialize field2

chk.setField2("field2Value");

}catch(Throwable any){

System.out.println("Java Error" + any);

any.printStackTrace();

}

// do something

private static CheckingNullPointers doSomething(){

return null;

}

// the

In the…

Data Science | Python | R - Programming

Run Your Python and R Codes Online For Your Data Science and Machine Learning Projects Mini Projects For Free
ByBernard Adabankah December 28, 2018December 28, 2018

Sometimes, you would want to easily access and run your Python and R codes wherever you find yourself in the world once you have internet access. This is really handy when you have a mini-project you are working on , or you are going through an online tutorial, or you are trying to teach or…

Read More Run Your Python and R Codes Online For Your Data Science and Machine Learning Projects Mini Projects For Free

Coursera | Data Science | Python

Testing a Basic Linear Regression Model – Data Analysis and Intrepretation

Bydatapandasadmin February 14, 2016October 23, 2016

Testing a Basic Linear Regression Model Background My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. 1) Program Code and Output

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# -*-

coding: utf-8 -*-

"""

Created on Sat Feb 13 12:28:07 2016

@author: Bernard

"""

import pandas

import matplotlib.pyplot as plt

import statsmodels.formula.api as smf

import seaborn

data = pandas.read_csv('gapminder_ghana_updated.csv')

data["incomeperperson"] =

data["incomeperperson"].convert_objects(convert_numeric=True)

data['lifeexpectancy'] = data['lifeexpectancy'].convert_objects(convert_numeric=True)

# listwise deletion of missing values

dataSub = data[['incomeperperson',

'lifeexpectancy']].dropna()

scat1 = seaborn.regplot(x="incomeperperson",

y="lifeexpectancy", scatter=True, data=dataSub)

plt.xlabel('Income Per Person')

plt.ylabel('Life Expectancy')

plt.title ('Scatterplot for the Association Between Income

Per Person and Life Expectancy of the People Of Ghana')

print(scat1)

# center quantitative Explanatory variable for regression

analysis

dataSub['incomeperperson_c'] = (dataSub['incomeperperson'] -

dataSub['incomeperperson'].mean())

print("Describe the centered quantitative Explanatory

variable")

ds0 = dataSub["incomeperperson_c"].describe()

print(ds0)

# printing mean

print("Mean for centered quantitative explanatory

variable: incomeperperson_c")

ds1 = dataSub.groupby('incomeperperson_c').mean()

print (ds1)

print("Standard deviation for centered quantitative

explanatory variable:incomeperperson_c")

sd1 = dataSub.groupby('incomeperperson_c').std()

print (sd1)

print("Mean for quantitative explanatory variable:

incomeperperson")

ds2 = dataSub.groupby('incomeperperson').mean()

print (ds2)

print("Checking values in incomeperperson_c")

print(dataSub["incomeperperson_c"])

#Value counts

print("Counts for incomeperperson_c")

inc_c_Count =

dataSub["incomeperperson_c"].value_counts(sort = False ,dropna=False)

#dropna displays missen values

print(inc_c_Count)

print ("OLS regression model for the association

between Income Per Person and Life Expectancy of the People of Ghana")

reg1 = smf.ols('lifeexpectancy ~ incomeperperson_c',

data=dataSub).fit()

print (reg1.summary())

##################### OUTPUT BEGIN ##################### Axes(0.125,0.125;0.775×0.775) Describe the centered…

Data Science | Machine Learning | R - Programming

Credit Approval Data Set – Predicting Credit Approval Using Logistic Regression and Matching Predictions to DataSet
Bydatapandasadmin August 12, 2017August 12, 2017

When someone applies for Credit, it will be unfair to reject those who duly qualify and it might be detrimental to the company to wrongly accept the wrong people. This is likely to happen if we try to make such decisions based on gut feelings. So how do we use Machine Learning to increase our…

Read More Credit Approval Data Set – Predicting Credit Approval Using Logistic Regression and Matching Predictions to DataSet
Coursera | Data Science

Association Of The Literacy Rate And Life Expectancy & Association Of The Literacy Rate And Income Per Person: The Case of Ghana
Bydatapandasadmin December 20, 2015October 23, 2016

Background of the Dataset CSV file Used: In the GapMinder Codebook the Unique Identifier = Country Hence in this program, my Unique Identifier = Ghana 1. There are 3 chosen variables (columns) that are core to my chosen research question which is based on the country Ghana. These are a. incomeperperson b. lifeexpectancy…

Read More Association Of The Literacy Rate And Life Expectancy & Association Of The Literacy Rate And Income Per Person: The Case of Ghana
Coursera | Data Science

Running An Analysis of Variance (ANOVA) – Data Analysis Tools
Bydatapandasadmin January 23, 2016October 23, 2016

Chosen Dataset I will be working with Data from the Gapminder dataset. This happens to be the same dataset I worked with under the Data Management and Visualization course assignments. As elaborated and discussed in under the Data Management and Visualization course assignments, I have chosen to focus on the country, Ghana. Hence I will be particularly interested…

Read More Running An Analysis of Variance (ANOVA) – Data Analysis Tools

3 Comments

VJ says:

January 9, 2017 at 12:20 pm

Hi,
Thanks for these steps, while trying to get Java 7, using the provided link, it gets redirected to the Java 8 download page.
Saying Java 7 is no longer available. Is there another way to get Java 7?
Please see below the message for details:
————————————————–
This version of the JDK is no longer current
Please visit our Java SE Downloads Page to get the latest Java SE downloads.

You will be redirected to the Java SE Downloads Page in 4 seconds. Please update your bookmarks to the Java SE Downloads Page.
————————————————–

Please suggest.

Thanks,
VJ

Reply
1. datapandasadmin says:
  
  January 9, 2017 at 9:22 pm
  
  Hi VJ,
  Have checked the link again and it appears Oracle is discontinuing the Jave 7. I was trying to find my exe for you but it appears I have recycled it already, sorry. Maybe you might have to comb around the web perhaps someone might have the exe somewhere. Good luck.
  
  Reply
2. datapandasadmin says:
  
  March 24, 2017 at 9:08 pm
  
  Hi VJ,
  how did you get on with the Java 7 issue?
  There is good news as Talend now supports Java 8, so you can get your Talend working with Java 8.
  Please check here https://help.talend.com/display/KB/Java+8+Support
  All the best
  
  Reply

Installing Talend Whilst Java 1.8 Is Already Installed on Windows 10 PC

NullPointerException – Eg 1 When Instance of an Object Is set to Null and It Is Used as A reference

Run Your Python and R Codes Online For Your Data Science and Machine Learning Projects Mini Projects For Free

Testing a Basic Linear Regression Model – Data Analysis and Intrepretation

Credit Approval Data Set – Predicting Credit Approval Using Logistic Regression and Matching Predictions to DataSet

Association Of The Literacy Rate And Life Expectancy & Association Of The Literacy Rate And Income Per Person: The Case of Ghana

Running An Analysis of Variance (ANOVA) – Data Analysis Tools

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