Adele Hansley

Adele Hansley

1621320842

Perl Assignment Help | Get HD Grades This Trimester!

PERL stands for practical extraction and reporting language which is a high-level programming language. It is a dynamic and flexible language that belongs to Perl 5 and Perl 6. It was first developed by Larry Wall in 1987.
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Functions & Applications Of PERL
PERL has Various Functions and Applications.
• The language is used for CGI scripts.
• Large projects are written in Perl. Some of the examples are Slash, Bugzilla, etc.
• Perl is used by many websites like Amazon.com, bbc.co.uk, IMDb, etc.
• Perl is used as a component in web development.
• Perl is used as a report language and for the practical extension.
• Perl language is the processing of texts and analysis of strings.
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What are the Key Features of PERL Scripting Language?
The Main Attributes of PERL Language are Described Below:
• PERL is a complex and versatile language that allows many functions to perform, because of which employers are frequently expected to use it during major project execution.
• Several organizations and companies commonly use PERL to conduct their essential programs.
• It follows an objective and systematic approach while using in complex tasks is relatively fast and highly effective.
Simple to Expand: CPAN can deliver about 25,000 proprietary modules.
• ERL can be used to manipulate the text, making it a perfect scripting language that functions well on XML, HTML, and other languages.
• The recent changes in Perl will enable Unicode v6 access.
• Perl is popularly used in referencing as well.
• It allows different functions such as reusability, modularity, enhancement of regular expressions, etc.
• It conducts automatic data typing and management of memory.
Database Inclusion is Simple: There are many repositories accessible, such as Sybase, MySQL, Oracle, and databases endorsed by PERL’s Database Integration Framework.
Free Access: PERL can be used by any user with comfort because it is free software.
• PERL parser can be built into web applications and database data centers.

PERL Is Widely Used In:
• Systematic Information
• Financing
• Graphic Programming
• Network Programming
• Bioinformatics
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Buddha Community

Perl Assignment Help | Get HD Grades This Trimester!
Adele Hansley

Adele Hansley

1621320842

Perl Assignment Help | Get HD Grades This Trimester!

PERL stands for practical extraction and reporting language which is a high-level programming language. It is a dynamic and flexible language that belongs to Perl 5 and Perl 6. It was first developed by Larry Wall in 1987.
PERL Assignment Help enables students to gain in-depth knowledge of the respective discipline. This will also enhance the practical understanding of many concepts besides helping them to fix the bugs in code in a short period. Moreover, by availing help with PERL assignment, you can make the entire process hassle-free and learning-oriented. The PERL programming language is a support cross-platform, which makes it easy for programmers to use its features optimally.
Functions & Applications Of PERL
PERL has Various Functions and Applications.
• The language is used for CGI scripts.
• Large projects are written in Perl. Some of the examples are Slash, Bugzilla, etc.
• Perl is used by many websites like Amazon.com, bbc.co.uk, IMDb, etc.
• Perl is used as a component in web development.
• Perl is used as a report language and for the practical extension.
• Perl language is the processing of texts and analysis of strings.
PERL assignments are one of the major hindrances in the preparation of assignments. Take online help with Perl Assignment in which experts will help you resolve all issues and to overcome the difficulties in the path of making flawless assignments.
What are the Key Features of PERL Scripting Language?
The Main Attributes of PERL Language are Described Below:
• PERL is a complex and versatile language that allows many functions to perform, because of which employers are frequently expected to use it during major project execution.
• Several organizations and companies commonly use PERL to conduct their essential programs.
• It follows an objective and systematic approach while using in complex tasks is relatively fast and highly effective.
Simple to Expand: CPAN can deliver about 25,000 proprietary modules.
• ERL can be used to manipulate the text, making it a perfect scripting language that functions well on XML, HTML, and other languages.
• The recent changes in Perl will enable Unicode v6 access.
• Perl is popularly used in referencing as well.
• It allows different functions such as reusability, modularity, enhancement of regular expressions, etc.
• It conducts automatic data typing and management of memory.
Database Inclusion is Simple: There are many repositories accessible, such as Sybase, MySQL, Oracle, and databases endorsed by PERL’s Database Integration Framework.
Free Access: PERL can be used by any user with comfort because it is free software.
• PERL parser can be built into web applications and database data centers.

PERL Is Widely Used In:
• Systematic Information
• Financing
• Graphic Programming
• Network Programming
• Bioinformatics
The given above is a basic intro on PERL. However, if you want to avail more information on Perl programming language then you can choose the best option that most of the students are using which is taking online help with my assignment services from professional Perl programmers to get rid of issues and difficulties while preparing Perl assignments.

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Shubham Ankit

Shubham Ankit

1657081614

How to Automate Excel with Python | Python Excel Tutorial (OpenPyXL)

How to Automate Excel with Python

In this article, We will show how we can use python to automate Excel . A useful Python library is Openpyxl which we will learn to do Excel Automation

What is OPENPYXL

Openpyxl is a Python library that is used to read from an Excel file or write to an Excel file. Data scientists use Openpyxl for data analysis, data copying, data mining, drawing charts, styling sheets, adding formulas, and more.

Workbook: A spreadsheet is represented as a workbook in openpyxl. A workbook consists of one or more sheets.

Sheet: A sheet is a single page composed of cells for organizing data.

Cell: The intersection of a row and a column is called a cell. Usually represented by A1, B5, etc.

Row: A row is a horizontal line represented by a number (1,2, etc.).

Column: A column is a vertical line represented by a capital letter (A, B, etc.).

Openpyxl can be installed using the pip command and it is recommended to install it in a virtual environment.

pip install openpyxl

CREATE A NEW WORKBOOK

We start by creating a new spreadsheet, which is called a workbook in Openpyxl. We import the workbook module from Openpyxl and use the function Workbook() which creates a new workbook.

from openpyxl
import Workbook
#creates a new workbook
wb = Workbook()
#Gets the first active worksheet
ws = wb.active
#creating new worksheets by using the create_sheet method

ws1 = wb.create_sheet("sheet1", 0) #inserts at first position
ws2 = wb.create_sheet("sheet2") #inserts at last position
ws3 = wb.create_sheet("sheet3", -1) #inserts at penultimate position

#Renaming the sheet
ws.title = "Example"

#save the workbook
wb.save(filename = "example.xlsx")

READING DATA FROM WORKBOOK

We load the file using the function load_Workbook() which takes the filename as an argument. The file must be saved in the same working directory.

#loading a workbook
wb = openpyxl.load_workbook("example.xlsx")

 

GETTING SHEETS FROM THE LOADED WORKBOOK

 

#getting sheet names
wb.sheetnames
result = ['sheet1', 'Sheet', 'sheet3', 'sheet2']

#getting a particular sheet
sheet1 = wb["sheet2"]

#getting sheet title
sheet1.title
result = 'sheet2'

#Getting the active sheet
sheetactive = wb.active
result = 'sheet1'

 

ACCESSING CELLS AND CELL VALUES

 

#get a cell from the sheet
sheet1["A1"] <
  Cell 'Sheet1'.A1 >

  #get the cell value
ws["A1"].value 'Segment'

#accessing cell using row and column and assigning a value
d = ws.cell(row = 4, column = 2, value = 10)
d.value
10

 

ITERATING THROUGH ROWS AND COLUMNS

 

#looping through each row and column
for x in range(1, 5):
  for y in range(1, 5):
  print(x, y, ws.cell(row = x, column = y)
    .value)

#getting the highest row number
ws.max_row
701

#getting the highest column number
ws.max_column
19

There are two functions for iterating through rows and columns.

Iter_rows() => returns the rows
Iter_cols() => returns the columns {
  min_row = 4, max_row = 5, min_col = 2, max_col = 5
} => This can be used to set the boundaries
for any iteration.

Example:

#iterating rows
for row in ws.iter_rows(min_row = 2, max_col = 3, max_row = 3):
  for cell in row:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C3 >

  #iterating columns
for col in ws.iter_cols(min_row = 2, max_col = 3, max_row = 3):
  for cell in col:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.C3 >

To get all the rows of the worksheet we use the method worksheet.rows and to get all the columns of the worksheet we use the method worksheet.columns. Similarly, to iterate only through the values we use the method worksheet.values.


Example:

for row in ws.values:
  for value in row:
  print(value)

 

WRITING DATA TO AN EXCEL FILE

Writing to a workbook can be done in many ways such as adding a formula, adding charts, images, updating cell values, inserting rows and columns, etc… We will discuss each of these with an example.

 

CREATING AND SAVING A NEW WORKBOOK

 

#creates a new workbook
wb = openpyxl.Workbook()

#saving the workbook
wb.save("new.xlsx")

 

ADDING AND REMOVING SHEETS

 

#creating a new sheet
ws1 = wb.create_sheet(title = "sheet 2")

#creating a new sheet at index 0
ws2 = wb.create_sheet(index = 0, title = "sheet 0")

#checking the sheet names
wb.sheetnames['sheet 0', 'Sheet', 'sheet 2']

#deleting a sheet
del wb['sheet 0']

#checking sheetnames
wb.sheetnames['Sheet', 'sheet 2']

 

ADDING CELL VALUES

 

#checking the sheet value
ws['B2'].value
null

#adding value to cell
ws['B2'] = 367

#checking value
ws['B2'].value
367

 

ADDING FORMULAS

 

We often require formulas to be included in our Excel datasheet. We can easily add formulas using the Openpyxl module just like you add values to a cell.
 

For example:

import openpyxl
from openpyxl
import Workbook

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']

ws['A9'] = '=SUM(A2:A8)'

wb.save("new2.xlsx")

The above program will add the formula (=SUM(A2:A8)) in cell A9. The result will be as below.

image

 

MERGE/UNMERGE CELLS

Two or more cells can be merged to a rectangular area using the method merge_cells(), and similarly, they can be unmerged using the method unmerge_cells().

For example:
Merge cells

#merge cells B2 to C9
ws.merge_cells('B2:C9')
ws['B2'] = "Merged cells"

Adding the above code to the previous example will merge cells as below.

image

UNMERGE CELLS

 

#unmerge cells B2 to C9
ws.unmerge_cells('B2:C9')

The above code will unmerge cells from B2 to C9.

INSERTING AN IMAGE

To insert an image we import the image function from the module openpyxl.drawing.image. We then load our image and add it to the cell as shown in the below example.

Example:

import openpyxl
from openpyxl
import Workbook
from openpyxl.drawing.image
import Image

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']
#loading the image(should be in same folder)
img = Image('logo.png')
ws['A1'] = "Adding image"
#adjusting size
img.height = 130
img.width = 200
#adding img to cell A3

ws.add_image(img, 'A3')

wb.save("new2.xlsx")

Result:

image

CREATING CHARTS

Charts are essential to show a visualization of data. We can create charts from Excel data using the Openpyxl module chart. Different forms of charts such as line charts, bar charts, 3D line charts, etc., can be created. We need to create a reference that contains the data to be used for the chart, which is nothing but a selection of cells (rows and columns). I am using sample data to create a 3D bar chart in the below example:

Example

import openpyxl
from openpyxl
import Workbook
from openpyxl.chart
import BarChart3D, Reference, series

wb = openpyxl.load_workbook("example.xlsx")
ws = wb.active

values = Reference(ws, min_col = 3, min_row = 2, max_col = 3, max_row = 40)
chart = BarChart3D()
chart.add_data(values)
ws.add_chart(chart, "E3")
wb.save("MyChart.xlsx")

Result
image


How to Automate Excel with Python with Video Tutorial

Welcome to another video! In this video, We will cover how we can use python to automate Excel. I'll be going over everything from creating workbooks to accessing individual cells and stylizing cells. There is a ton of things that you can do with Excel but I'll just be covering the core/base things in OpenPyXl.

⭐️ Timestamps ⭐️
00:00 | Introduction
02:14 | Installing openpyxl
03:19 | Testing Installation
04:25 | Loading an Existing Workbook
06:46 | Accessing Worksheets
07:37 | Accessing Cell Values
08:58 | Saving Workbooks
09:52 | Creating, Listing and Changing Sheets
11:50 | Creating a New Workbook
12:39 | Adding/Appending Rows
14:26 | Accessing Multiple Cells
20:46 | Merging Cells
22:27 | Inserting and Deleting Rows
23:35 | Inserting and Deleting Columns
24:48 | Copying and Moving Cells
26:06 | Practical Example, Formulas & Cell Styling

📄 Resources 📄
OpenPyXL Docs: https://openpyxl.readthedocs.io/en/stable/ 
Code Written in This Tutorial: https://github.com/techwithtim/ExcelPythonTutorial 
Subscribe: https://www.youtube.com/c/TechWithTim/featured 

#python 

Max Willor

Max Willor

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