Must be done with Visual Studio. please run the programs and provide the codes that made it possible
Output will be like:
Code will be like:
Imports System
Imports System.Collections.Generic
Imports System.ComponentModel
Imports System.Linq
Imports System.Windows.Forms
Imports System.IO
Imports System.Text.RegularExpressions
Private arr As String() = New String(195) {}
Private count As Integer = 0
Using reader As StreamReader = New StreamReader("TextFile1.txt")
While True
Dim line As String = reader.ReadLine()
If line Is Nothing Then
Exit While
End If
arr(count) = line
count += 1
End While
End Using
End Sub
Private Sub textBox1_TextChanged(ByVal sender As Object, ByVal e
As EventArgs)
Dim searchWord As String = textBox1.Text
For i As Integer = 0 To arr.Length - 1
If arr(i).Contains(searchWord) Then
richTextBox1.Text += arr(i)
richTextBox1.Text += Environment.NewLine
End If
Next
End Sub
End Class
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Must be done with Visual Studio. please run the programs and provide the codes that made it possible
DATA:
# happy2.py
import csv
def main():
happy_dict = make_happy_dict()
print_sorted_dictionary(happy_dict)
def make_happy_dict():
filename = "happiness.csv"
happy_dict={}
with open(filename, 'r') as infile:
csv_happy = csv.reader(infile)
infile.readline()
for line in csv_happy:
happy_dict[line[0]] = line[2]
return happy_dict
def lookup_happiness_by_country(happy_dict):
return
def print_sorted_dictionary(D):
if type(D) != type({}):
print("Dictionary not found")
return
print("Contents of dictionary sorted by key.")
print("Key","Value")
for key in sorted(D.keys()):
print(key, D[key])
main()
"happines.csv"
Country,Year of Estimate,Happiness Index
Afghanistan,2018,2.694303274
Albania,2018,5.004402637
Algeria,2018,5.043086052
Angola,2014,3.794837952
Argentina,2018,5.792796612
Armenia,2018,5.062448502
Australia,2018,7.17699337
Austria,2018,7.396001816
Azerbaijan,2018,5.167995453
Bahrain,2017,6.227320671
Bangladesh,2018,4.499217033...
Will reward thumbs up 100% if works. thank you Pickling with Python code and Pandas code Do both pickling assignment in one Jupyter Notebook file. Python Pickle steps: Download the CSV file. Load into a Pandas DataFrame. Make the column ‘country’ the index. Print the header. Using Python code, pickle the DataFrame and name the file: PythonPickle. Load back the PythonPickle data into the DataFrame. Print the header. (Note both printed headers should match.) Pandas Pickle steps: Download the CSV...