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  • Data Science Assignment Help | What is Data Wrangling? - Codersarts

    What is data Wrangling? Data Wrangling is the process of converting data from the initial format to a format that may be readable and better for analysis. Here we use the below data set : https://archive.ics.uci.edu/ml/machine-learning-databases/autos/imports-85.data Import pandas Open Jupyter notebook or any online jupyter notebook editor and import pandas- import pandas as pd import matplotlib.pylab as plt Reading the data and add header filename = "https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DA0101EN/auto.csv" headers = ["symboling","normalized-losses","make","fuel-type","aspiration", "num-of-doors","body-style", "drive-wheels","engine-location","wheel-base", "length","width","height","curb-weight","engine-type", "num-of-cylinders", "engine-size","fuel -system","bore","stroke","compression-ratio","horsepower", "peak-rpm","city-mpg","highway-mpg","price"] Read CSV df = pd.read_csv(filename, names = headers) Show data in tabular form df.head() Data display in tabular form and you will face some challenges like this- identify missing data deal with missing data correct data format Identify and handle missing values Identify missing values Convert "?" to NaN Missing data comes with the question mark "?". We replace "?" with NaN (Not a Number) Example: import numpy as np # replace "?" to NaN df.replace("?", np.nan, inplace = True) df.head(5) It set NaN at first five index row where "?" is presented. How to detect missing data: There are two method used to detect missing data. .isnull() - Return true at the place of missing data and other place return false. .notnull() - Return true at the placed data and false at missing data place. Example: mis_value = df.isnull() mis_value.head(5) Count missing value -In columns Using for loop: Example: Write this for loop and find result for column in mis_value .columns.values.tolist(): print(column) print (mis_value [column].value_counts()) print("") How we will work with missing data Drop data drop the whole row- Let suppose any value is necessary like price but it is missing at any row then we remove whole row. drop the whole column - let we suppose if price is missing at any column then it reason of delete whole column because price is necessary for data science to calculate price. Replace data replace it by mean replace it by frequency - replace as per frequency for example- 84 % is good, and 16% bad, then 16% remove by good. replace it based on other functions Calculate the average of any column Example avg= df["column name"].astype("float").mean(axis=0) print("Average of column name:", avg) Replace "NaN" by mean value - of any column Example df["column_name"].replace(np.nan, avg, inplace=True) Calculate the mean value - of any column Example avg=df['column_name'].astype('float').mean(axis=0) print("Average of column_name:", avg) Replace NaN by mean value Example df["column_name"].replace(np.nan, avg, inplace=True) How count each column data separately Use value_counts() function Example: df['column_name'].value_counts() Output like this: let suppose column_name is qualification then count each qualification with name. mca 78 bca 45 Calculate for us the most common (max) automatically df['column_name'].value_counts().idxmax() Output: mca 78 Replace NaN by most frequent Example df["column_name"].replace(np.nan, "four", inplace=True) All NaN replace by most frequent- by "four" Drop whole row with NaN in "Column_name" column Let suppose column_name is "price" df.dropna(subset=["price"], axis=0, inplace=True) # reset index, because we dropped two rows df.reset_index(drop=True, inplace=True) Correct data format In Pandas, we use .dtype() to check the data type .astype() to change the data type Show list of data type: Use this syntax to list data type - syntax: df.dtypes How to convert data type in proper format There are different type of data format used - Syntax: df[["column1", "column2"]] = df[["column1", "column2"]].astype("float") df[["column3"]] = df[["column3"]].astype("int") df[["column4"]] = df[["column4"]].astype("float") df[["column5"]] = df[["column5"]].astype("float") Again check it by using following - It show list so that you can verify that data type is change or not Syntax: df.dtypes Data Standardization What is Standardization? Standardization is the process of transforming data into a common format which allows the researcher to make the meaningful comparison. Example Transform mpg to L/100km The formula for unit conversion is L/100km = 235 / mpg First go through the data to verify it by using this syntax- Syntax: df.head() Example: Convert mpg to L/100km by mathematical operation df['city-L/100km'] = 235/df["city-mpg"] It add new column city-L/100km after change the value of column city-mpg # check your transformed data df.head() Data Normalization Why normalization? Normalization is the process of transforming values of several variables into a similar range. Example: # replace (original value) by (original value)/(maximum value) df['length'] = df['length']/df['length'].max() df['width'] = df['width']/df['width'].max() Binning Why binning? Binning is a process of transforming continuous numerical variables into discrete categorical 'bins', for grouped analysis. Indicator variable (or dummy variable) What is an indicator variable? An indicator variable (or dummy variable) is a numerical variable used to label categories. They are called 'dummies' because the numbers themselves don't have inherent meaning. Why we use indicator variables? So we can use categorical variables for regression analysis in the later modules. List of Other Codersarts Assignment Help Expert Services Computer science Assignment help Python Programming Help Data Structures Assignment Help JAVA Assignment Help VB NET Development C++ Assignment Help C Programming Assignment Help SQL Homework Help Database Assignment Help HTML Assignment Help JavaScript Assignment Help Node js Assignment Help C# Assignment Help Android App Assignment Help MongoDB Assignment Help If you like Codersarts blog and looking for Programming Assignment Help Service,Database Development Service,Web development service,Mobile App Development, Project help, Hire Software Developer,Programming tutors help and suggestion  you can send mail at contact@codersarts.com. Please write your suggestion in comment section below if you find anything incorrect in this blog post

  • Develop Your Sql Database, Queries And Database Projects

    Hello, Friends... In this blog we will created some important SQL database and performed query on it. So read it carefully and comment if anything is missing. Our first database is - Student management system(sms) Creating database sms Syntax: CREATE DATABASE sms; use sms; Now we will creating databases tables CREATE TABLE student ( sid char(4) primary key, sname varchar(20), sdob date, scity varchar(20), squal varchar(20), semail varchar(30), sphone varchar(20) ); CREATE TABLE course ( courseid char(4) primary key, coursename varchar(40), coursecategory varchar(20), coursefees decimal(10,2), courseduration int ); CREATE TABLE batch ( batchid char(4) primary key, bsdate datetime , bstrength int, courseid char(4), foreign key(courseid) references course(courseid) ); CREATE TABLE enrollment ( batchid char(4), sid char(4) , edate date, primary key(batchid,sid), foreign key(sid) references student(sid), foreign key(batchid) references batch(batchid) ); Now inserting record into database sms insert into student values('s001','rajesh','1980-12-17','kolkata','graduate','rajesh@gmail.com','09830978900'); insert into student values('s002','john','1949-1-7','hyderabad','postgraduate','john@yahoo.com','9833978933'); insert into student values('s003','kunal','1967-2-3','pune','postgraduate','kunal@gmail.com','09830922900'); insert into student values('s004','maya','1990-12-17','kolkata','graduate','maya.com','09830765900'); insert into student values('s005','jadeja','1940-1-23','kolkata','postgraduate','jadeja@yahoo.com','09837865432'); insert into student values('s006','suman','1995-6-17','kolkata','undergraduate','suman@gmail.com','0983097890'); insert into student values('s007','soha','1990-7-17','mumbai','undergraduate',null,null); insert into student values('s008','thapa','1980-8-17','assam','graduate','thapa@gmail.com','19830978900'); insert into student values('s009','hira','1954-9-17','mumbai','postgraduate','hira@gmail.com','09234097890'); insert into student values('s010','akash','1977-1-27','kolkata','postgraduate','akash@gmail.com',null); insert into student values('s011','amir','1992-1-1','delhi','undergraduate','amirgmail.com','09831118900'); insert into student values('s012','ramesh','1980-12-17','kolkata','graduate','ramesh@yahoo.com','09830918900'); insert into student values('s013','suresh','1980-3-22','kolkata','graduate','suresh@gmail.com','09830978912'); insert into student values('s014','amir','1945-1-13','delhi','postgraduate','amir123@rediffmail.com','29830978900'); insert into student values('s015','esha','1981-10-30','mumbai','graduate','esha@gmail.com','09831378900'); insert into student values('s016','gopichand','1966-5-7','assam','postgraduate','gopi@gmail.com','09831918100'); insert into student values('s017','sonali','1995-11-11','mumbai','undergraduate','sonali@gmail.com','09855978900'); insert into student values('s018','lisa','1983-1-31','delhi','graduate','lisa@gmail.com','09832978923'); insert into student values('s019','smith','1980-12-17','pune','graduate','smith@yahoo.com','09831111900'); insert into student values('s020','rajesh','1994-7-8','pune','graduate','rajesh@gmail.com','09830978900'); insert into course values('c001','sql server','compsc',1000,40); insert into course values('c002','compmat','civileng',3000,120); insert into course values('c003','biomaths','biotech',4000,160); insert into course values('c004','word','compsc',500,8); insert into course values('c005','photo','compsc',800,8); insert into batch values('b001','2013-02-01 09:30' ,10, 'c001'); insert into batch values('b002','2013-03-01 09:30' ,10, 'c002'); insert into batch values('b003','2013-01-01 09:30' ,10, 'c003'); insert into batch values('b004','2013-03-31 09:30' ,10, 'c003'); insert into batch values('b005','2013-04-04 09:30' ,10, 'c005'); insert into batch values('b006','2013-01-27 09:30' ,10, 'c002'); insert into batch values('b007','2012-11-30 09:30' ,10, 'c004'); insert into batch values('b008','2013-01-28 09:30' ,10, 'c002'); insert into batch values('b009','2013-02-16 09:30' ,10,'c001'); insert into batch values('b010','2012-12-12 09:30' ,10, 'c003'); insert into enrollment values('b001','s001','2013-01-01'); insert into enrollment values('b001','s002','2013-01-31'); insert into enrollment values('b001','s003','2013-01-11'); insert into enrollment values('b001','s004','2013-02-02'); insert into enrollment values('b001','s005','2013-01-01'); insert into enrollment values('b001','s006','2013-01-01'); insert into enrollment values('b001','s007','2013-01-01'); insert into enrollment values('b001','s008','2013-01-01'); insert into enrollment values('b001','s009','2013-01-01'); insert into enrollment values('b002','s010','2013-02-01'); insert into enrollment values('b002','s012','2013-02-27'); insert into enrollment values('b002','s014','2013-01-21'); insert into enrollment values('b002','s016','2013-01-12'); insert into enrollment values('b002','s017','2013-02-15'); insert into enrollment values('b003','s018','2013-12-11'); insert into enrollment values('b003','s019','2013-02-27'); insert into enrollment values('b003','s020','2013-01-21'); insert into enrollment values('b003','s013','2013-01-01'); insert into enrollment values('b003','s007','2013-12-15'); insert into enrollment values('b003','s008','2013-11-25'); insert into enrollment values('b004','s001','2013-02-11'); insert into enrollment values('b004','s003','2013-02-27'); insert into enrollment values('b004','s006','2013-01-21'); insert into enrollment values('b004','s009','2013-03-01'); insert into enrollment values('b005','s001','2013-02-11'); insert into enrollment values('b005','s003','2013-02-27'); insert into enrollment values('b005','s006','2013-03-21'); insert into enrollment values('b005','s009','2013-04-01'); insert into enrollment values('b006','s001','2013-01-11'); insert into enrollment values('b006','s003','2012-12-27'); insert into enrollment values('b006','s006','2013-01-11'); insert into enrollment values('b006','s009','2013-01-01'); insert into enrollment values('b006','s007','2013-01-13'); insert into enrollment values('b006','s002','2012-12-17'); insert into enrollment values('b006','s008','2013-01-21'); insert into enrollment values('b006','s005','2013-01-01'); insert into enrollment values('b007','s001','2012-11-11'); insert into enrollment values('b007','s002','2012-11-11'); insert into enrollment values('b007','s003','2012-11-21'); insert into enrollment values('b007','s004','2012-11-13'); insert into enrollment values('b007','s007','2012-10-13'); insert into enrollment values('b007','s010','2012-10-17'); insert into enrollment values('b007','s009','2012-12-01'); insert into enrollment values('b008','s011','2012-11-11'); insert into enrollment values('b008','s012','2012-11-11'); insert into enrollment values('b008','s013','2012-11-21'); insert into enrollment values('b008','s014','2012-11-13'); insert into enrollment values('b008','s017','2012-10-13'); insert into enrollment values('b008','s020','2012-10-17'); insert into enrollment values('b008','s019','2012-12-01'); insert into enrollment values('b009','s001','2012-11-11'); insert into enrollment values('b009','s012','2012-11-11'); insert into enrollment values('b009','s013','2012-11-21'); insert into enrollment values('b009','s004','2012-11-13'); insert into enrollment values('b009','s007','2012-10-13'); insert into enrollment values('b009','s010','2012-10-17'); insert into enrollment values('b009','s009','2012-12-01'); insert into enrollment values('b010','s011','2012-11-11'); insert into enrollment values('b010','s002','2012-11-11'); insert into enrollment values('b010','s003','2012-11-21'); insert into enrollment values('b010','s014','2012-11-13'); insert into enrollment values('b010','s017','2012-10-13'); insert into enrollment values('b010','s010','2012-10-17'); insert into enrollment values('b010','s009','2012-12-01'); Querying and their answers Problem 1>>> Display all undergraduate student whose name starts with ‘S’ and is of length between 5 and 20. solution: select sname from student where sname like 's%' and length(sname) between 5 and 20 and squal='undergraduate'; Problem 2>>> Display the student who are senior citizen (>=60). solution: select sname from student where round(datediff(current_date,sdob)/365)>=60; Problem 3>>> Display student who were born after 1st of June 1980 solution: select sname from student where sdob>'1980-06-01'; Problem 4>>> The student are suppose to only provide mobile numbers .All mobile numbers should start with zero followed by 10 digits. Display student name having invalid phone numbers. solution: select sname from student where sphone not like '0%' or length(sphone)!=11; Problem 5>>> All emails should have “@” anywhere after the first character and should end with “.com”. Display count of students having invalid email id. solution: select count(sname) from student where semail not like '_%@%.com'; Problem 6>>> Display the name and email of student who have a Gmail account. solution: select sname,semail from student where semail like '_%@gmail.com'; Problem 7 >>> Display the qualification and the total number of students registered based on their qualifications. (Alias use “totalStud” for total number of students) solution: select squal,count(sid) totalstud from student group by squal; Problem 8 >>> Display the full name of the month and the total number of students who are having their birthday in that month. (Alias use “Month” and “Total”) solution: select date_format(sdob,'%M') month,count(sid) from student group by month; Problem 9 >>> Display the student name that was born in a leap year ordering by student name and year of birth. solution: select sname from student where year(sdob)%4=0; Problem 10 >>> Display student whose city is Kolkata as “HomeStudent ” and others as “DistanceStudent” under a column “Remarks”. Also display the name and city of the student. solution: select sname,scity,if(scity='kolkata','HomeStudent','DistanceStudent') Remarks from student; Problem 11>>> Display batchid, coursename, batch start date, batch end date for all batches. (batch end date=batch start date +course duration). solution: select b.batchid,c.coursename,date_format(b.bsdate,'%Y-%m-%d') batch_start_date,date_format(b.bsdate+interval c.courseduration day,'%Y-%m-%d') end_date_of_batch from batch b join course c on c.courseid=b.courseid; Problem 12>>>Display all batchid having a difference of 10 hours and less between its starting and ending date. solution: select b.batch_id from batch b join coure_id c on c.course_id=b.course_id where c.course_duration >10 ; Problem 13 >>>Display all batches having similar start date and strength. solution: select batch_id from batch b1 bs.date= (select bs.date from batch2 where b1.bstrenth=b2.bstrenth and b1.bs.date=b2.b.sdate) Problem 14>>> Display student who enrolled for the batch after its start date. solution: select s.sname from student s join enrollment e on s.sid=e.sid join batch b on b.batchid=e.batchid where e.edate>b.bsdate; Problem 15>>> Display the studentid, studentname , totalfees for all student. solution: select s1.sid,s1.sname,s2.totalfees from student s1 join (select s.sid id,sum(c.coursefees) totalfees from student s join enrollment e on s.sid=e.sid join batch b on b.batchid=e.batchid join course c on c.courseid=b.courseid group by s.sid) s2 on s1.sid=s2.id; Problem 16>>> Display courses which are not being taught currently along with courses which are being taught. Also display the batchid for the courses currently running and null for non executing courses. solution: select distinct c.coursename from course c where c.courseid not in (select courseid from batch group by courseid); Problem 17>>> Display count of students having no contact information. (Either email or phone). solution: select count(sid) from student where semail is null or sphone is null; Problem 18>>> Display coursename having above average fees. solution: select coursename from course where coursefees>(select avg(coursefees) from course); Problem 19>>>Display coursename where fees are less than the average fees of its category. solution: select c1.coursename from course c1 join (select coursecategory,avg(coursefees) average from course group by coursecategory) c2 on c1.coursecategory=c2.coursecategory where c1.coursefees>> Display the coursename having the highest enrollment. solution: select c.courseid from enrollment e join batch b on b.batchid=e.batchid join course c on c.courseid=b.courseid group by c.courseid having count(e.sid)>=all (select count(e.sid)from enrollment e join batch b on b.batchid=e.batchid join course c on c.courseid=b.courseid group by c.courseid) ; Problem 21>>> Display student name having duplicate email ids. solution: select s1.sid,s1.sname from student s1 join (select semail,count(sid) from student group by semail having count(semail)>1)s2 on s1.semail=s2.semail; Problem 22>>> Display student name having similar name but different email ids. solution: select s1.sid,s1.sname from student s1 join (select sname from student group by sname having count(sid)>1)s2 on s1.sname=s2.sname join (select semail from student group by semail having count(sid)=1)s3 on s1.semail=s3.semail; Thanks, for read it, If you like Codersarts blog and looking for Programming Assignment Help Service,Database Development Service,Web development service,Mobile App Development, Project help, Hire Software Developer,Programming tutors help and suggestion  you can send mail at contact@codersarts.com. Please write your suggestion in comment section below if you find anything incorrect in this blog post List of Other Codersarts Assignment Expert Help Services Computer science Assignment help Python Programming Help Data Structures Assignment Help JAVA Assignment Help VB NET Development C++ Assignment Help C Programming Assignment Help SQL Homework Help Database Assignment Help HTML Assignment Help JavaScript Assignment Help Node js Assignment Help C# Assignment Help Android App Assignment Help MongoDB Assignment Help Also visit codersarts top rated programming Help services For given latitude value check the location on equator in python Calculate distance between two points on Earth the latitute and longitude given in degrees Calculate the area of triangle in python Write a program of Rational Numbers Addition,Subtraction, Multiplication, Division in python convert dms to dd in python Design and implement a "Golf Club" program that records information about golfers and tournaments Concatenate First, mid and last character of String in Python A set of utilities to manipulate polynomials, Addition, subtraction, Multiplication and evaluation Python Unit Test with unittest Finding matching keys in two dictionaries - python

  • Analyze Data with python | Data analysis and Visualization with Python

    Learn how to analyze data using Python. This blog will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! 1- You will learn how to: 2- Import data sets 3- Clean and prepare data for analysis 4- Manipulate pandas DataFrame 5- Summarize data Python itself does not include vectors, matrices, or dataframes as fundamental data types. As Python became an increasingly popular language, however, it was quickly realized that this was a major short-coming, and new libraries were created that added these data-types (and did so in a very, very high performance manner) to Python. The original library that added vectors and matrices to Python was called numpy. But numpy, while very powerful, was a no-frills library. You couldn’t do things like mix data-types, label your columns, etc.. To remedy this shortcoming a new library was created – built on top of numpy – that added all the nice features we’ve come to expect from modern languages: pandas. Creating A DataFrame in Pandas: Method 1: import pandas as pd dframe = pd.DataFrame({ "c1": [1, "Ashish"], "c2": [2, "Sid"]}) print(dframe) Output: Method 2: # taking index and column values import pandas as pd dframe = pd.DataFrame([[1,2],["Ashish", "Sid"]], index=["r1", "r2"], columns=["c1", "c2"]) print(dframe) Output: Importing Data with Pandas: import pandas as pd df=pd.read_csv(" csvfile.csv") # Prints the first 5 rows of a DataFrame as default df.head() # Prints no. of rows and columns of a DataFrame df.shape

  • Python Programming Help - Python Tkinter Tutorial

    Tkinter Tutorial Hi Everyone! Welcome to my Course Python Tkinter Tutorial In this course, we are going to learn how to do GUI in python. I am a python developer for a long time, and I’m so excited to share my knowledge of this awesome programming Language. This course is designed for both beginner and professional, and also helpful for everyone who wish to learn the GUI Programming in Python Tkinter. I hope you’ll join me on this journey to learn Python with the python: Getting started courses at CodersArts. In this series of python learning. We will discuss the following topics What is a Graphical User Interface (GUI) in Python? Libraries use in Python Tkinter What is Tkinter? Fundamentals of Tkinter Using Python Tkinter Widgets in Python Geometry Management in Python Organization of Layouts and Widgets in Python Tkinter Binding Functions in Python What is a Graphical User Interface (GUI) in Python? Stands for "Graphical User Interface" and is pronounced "gooey." It is a user interface that includes graphical elements, such as windows, icons and buttons. The term was created in the 1970s to distinguish graphical interfaces from text-based ones, such as command line interfaces. However, today nearly all digital interfaces are GUIs. The first commercially available GUI, called "PARC," was developed by Xerox. It was used by the Xerox 8010 Information System, which was released in 1981. After Steve Jobs saw the interface during a tour at Xerox, he had his team at Apple develop an operating system with a similar design. Apple's GUI-based OS was included with the Macintosh, which was released in 1984. Microsoft released their first GUI-based OS, Windows 1.0, in 1985. If you want to read more about Graphical Use Interface than go to the this link Python Libraries To Create Graphical User Interfaces Top python Libraries which is use by most of GUI developer is: Kivy Python QTwxPython Tkinter To read basic about these Libraries first we know about "Tkinter". What is Tkinter? Tkinter is an inbuilt Python libraries used to create simple GUI apps. It is the most commonly used module for GUI apps in the Python. To understand it clearly first we will see working of small code in which we will print hello world: Example: """Hello World application for Tkinter""" from tkinter import * from tkinter.ttk import * root = Tk() label = Label(root, text="Hello World") label.pack() root.mainloop() First line used to import module tkinter from python library In second line tkinter.ttk used to import ttk library with tkinter to add extra features. pack() used to pack the content so user can see it. The last line calls the mainloop function. This function calls the endless loop of the window, so the window will wait for any user interaction till we close it. Tkinter Widgets Widgets are something like elements. There are different types of widgets which used in Tkinter Label Widget Button Widget Entry Widget Radiobutton Widget Radiobutton Widget (Alternate) Checkbutton Widget Scale Widget: Horizontal Scale Widget: Vertical Text Widget LabelFrame Widget Canvas Widget Listbox Widget Menu Widget OptionMenu Widget Here below we discuss complete details about all widgets- how will use it and how it works? Label Widget A Label widget shows text to the user. Labels are used to create texts and images and all of that: Example: import tkinter parent_widget = tkinter.Tk() label_widget = tkinter.Label(parent_widget, text="A Label") label_widget.pack() tkinter.mainloop() Output: Button Widget To add a button in your application, this widget is used. Example: import tkinter window = tkinter.Tk() button_widget = tkinter.Button(window,text="A Button") button_widget.pack() tkinter.mainloop() Output: Entry Widget An Entry widget gets text input from the user. Example: import tkinter window = tkinter.Tk() entry_widget = tkinter.Entry(window) entry_widget.insert(0, "Type your text here") entry_widget.pack() tkinter.mainloop() Output: Radio button Widget A Radiobutton lets you put buttons together, so that only one of them can be clicked. If one button is on and the user clicks another, the first is set to off. Example: import tkinter window = tkinter.Tk() v = tkinter.IntVar() v.set(1) # need to use v.set and v.get to set and get the value of this variable radiobutton_widget1 = tkinter.Radiobutton(window,text="Radiobutton 1",variable=v,value=1) radiobutton_widget2 = tkinter.Radiobutton(window,text="Radiobutton 2",variable=v, value=2) radiobutton_widget1.pack() radiobutton_widget2.pack() tkinter.mainloop() Output: Radiobutton Widget -Alternate You can display a Radiobutton without the dot indicator Example: import tkinter window = tkinter.Tk() v = tkinter.IntVar() v.set(1) radiobutton_widget1 = tkinter.Radiobutton(window, text="Radiobutton 1", variable=v, value=1, indicatoron=False) radiobutton_widget2 = tkinter.Radiobutton(window, text="Radiobutton 2", variable=v, value=2, indicatoron=False) radiobutton_widget1.pack() radiobutton_widget2.pack() tkinter.mainloop() Output: Checkbutton Widget A Checkbutton records on/off or true/false status Example: import tkinter window = tkinter.Tk() checkbutton_widget = tkinter.Checkbutton(window, text="Checkbutton") checkbutton_widget.select() checkbutton_widget.pack() tkinter.mainloop() Output: Scale Widget: Horizontal Use a Scale widget when you want a slider that goes from one value to another. Example: import tkinter window = tkinter.Tk() scale_widget = tkinter.Scale(window, from_=0, to=100, orient=tkinter.HORIZONTAL) scale_widget.set(25) scale_widget.pack() tkinter.mainloop() Output: Scale Widget: Vertical A Scale widget can be vertical (up and down). Example: import tkinter window = tkinter.Tk() scale_widget = tkinter.Scale(window, from_=0, to=100, orient=tkinter.VERTICAL) scale_widget.set(25) scale_widget.pack() tkinter.mainloop() Output: Text Widget in Python Tkinter Use to show large areas of text. Example: import tkinter window = tkinter.Tk() text_widget = tkinter.Text(window, width=20, height=3) text_widget.insert(tkinter.END, "Text Widgetn20 characters widen3 lines high") text_widget.pack() tkinter.mainloop() Output: LabelFrame Widget The LabelFrame acts as a parent widget for other widgets, displaying them with a title and an outline. LabelFrame has to have a child widget before you can see it. Example: import tkinter window = tkinter.Tk() labelframe_widget = tkinter.LabelFrame(window, text="LabelFrame") label_widget=tkinter.Label(labelframe_widget, text="Child widget of the LabelFrame") labelframe_widget.pack(padx=10, pady=10) label_widget.pack() tkinter.mainloop() Output: Canvas Widget You use a Canvas widget to draw on. It supports different drawing methods. Example: import tkinter window = tkinter.Tk() canvas_widget = tkinter.Canvas(window,bg="blue",width=100,height= 50) canvas_widget.pack() tkinter.mainloop() Output: Listbox Widget Listbox lets the user choose from one set of options or displays a list of items. Example: import tkinter window = tkinter.Tk() listbox_entries = ["Entry 1", "Entry 2", "Entry 3", "Entry 4"] listbox_widget = tkinter.Listbox(window) for entry in listbox_entries: listbox_widget.insert(tkinter.END, entry) listbox_widget.pack() tkinter.mainloop() Output: Menu Widget The Menu widget can create a menu bar. Example: import tkinter window = tkinter.Tk() def menu_callback(): print("I'm in the menu callback!") def submenu_callback(): print("I'm in the submenu callback!") menu_widget = tkinter.Menu(window) submenu_widget = tkinter.Menu(menu_widget, tearoff=False) submenu_widget.add_command(label="Submenu Item1", command=submenu_callback) submenu_widget.add_command(label="Submenu Item2", command=submenu_callback) menu_widget.add_cascade(label="Item1", menu=submenu_widget) menu_widget.add_command(label="Item2", command=menu_callback) menu_widget.add_command(label="Item3", command=menu_callback) window.config(menu=menu_widget) tkinter.mainloop() Output: OptionMenu Widget The OptionMenu widget lets the user choose from a list of options Example: import tkinter window = tkinter.Tk() control_variable = tkinter.StringVar(window) OPTION_TUPLE = ("Option 1", "Option 2", "Option 3") optionmenu_widget = tkinter.OptionMenu(window,control_variable, *OPTION_TUPLE) optionmenu_widget.pack() tkinter.mainloop() Output: Geometry Management in Python Tkinter possess three layout managers. pack grid place Example import tkinter as tk root = tk.Tk() w = tk.Label(root, text="Red Sun", bg="red", fg="white") w.pack(fill=tk.X) w = tk.Label(root, text="Green Grass", bg="green", fg="black") w.pack(fill=tk.X) w = tk.Label(root, text="Blue Sky", bg="blue", fg="white") w.pack(fill=tk.X) tk.mainloop() Output: Binding Function in python It used to bind the event by mouse or keyboard to perform specific action Example: #!/usr/bin/python3 # write tkinter as Tkinter to be Python 2.x compatible from tkinter import * def hello(event): print("Single Click, Button-l") def quit(event): print("Double Click, so let's stop") import sys; sys.exit() widget = Button(None, text='Mouse Clicks') widget.pack() widget.bind('', hello) widget.bind('', quit) widget.mainloop() Output: List of Other Codersarts Assignment Expert Help Services Computer science Assignment help Python Programming Help Data Structures Assignment Help JAVA Assignment Help VB NET Development C++ Assignment Help C Programming Assignment Help SQL Homework Help Database Assignment Help HTML Assignment Help JavaScript Assignment Help Node js Assignment Help C# Assignment Help Android App Assignment Help MongoDB Assignment Help If you like Codersarts blog and looking for Programming Assignment Help Service,Database Development Service,Web development service,Mobile App Development, Project help, Hire Software Developer,Programming tutors help and suggestion  you can send mail at contact@codersarts.com. 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    What is Directory in Python? A directory or folder is a collection of files and sub directories. Python has the os module. which provides us with many useful methods to work with directories (and files as well). Get Current Directory Use command : >>>getcwd() Example: >>> import module >>>os.getcwd() Output: 'C:\\Program Files\\Py...' Use print() to escape extra backspace. Example: >>> print(os.getcwd()) Output: C:\Program Files\PyScripter Changing Directory We can change the current working directory using the chdir() method. Example: >>> os.chdir('C:\\Python33') >>> print(os.getcwd()) Output: C:\Python33 List Directories and Files Use method: >>>listdir() Example: >>> os.listdir() Output: ['DLLs','Doc','include','Lib','libs',... ] Create New Directory Use method >>> os.mkdir('test') Renaming a Directory or a File The rename() method can rename a directory or a file. >>> os.listdir() Output: ['test'] >>> os.rename('test','new') #rename "test" into "new" Removing Directory or File A file can be removed (deleted) using the remove() method. rmdir() used to remove empty directory. Example: >>> os.remove('file.txt') Hope you understand the all the concept of file or directory. If you like Codersarts blog and looking for Assignment help,Project help, Programming tutors help and suggestion  you can send mail at contact@codersarts.com. Please write your suggestion in comment section below if you find anything incorrect in this blog post. #python #pythonassignmenthelp #pythonassignmenthelp #pythonfileanddirectory

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    Generators are simple functions which return an iterable set of items, one at a time, in a special way. If the body of a def contains yield, the function automatically becomes a generator function. Once the generator's function code reaches a "yield" statement, the generator yields its execution back to the for loop, returning a new value from the set. The generator function can generate as many values (possibly infinite) as it wants, yielding each one in its turn. Example 1: Program to print random number form 1 to 3. def simpleGen(): yield 1 yield 2 yield 3 # Driver code to check above generator function for value in simpleGen(): print(value) Output: 1 2 3 Example 2: Program to print random number from 1 to 40. import random def lottery(): # returns 6 numbers between 1 and 40 for i in range(6): yield random.randint(1, 40) # returns a 7th number between 1 and 15 yield random.randint(1,15) for random_number in lottery(): print("And the next number is... %d!" %(random_number)) If you like Codersarts blog and looking for Assignment help,Project help, Programming tutors help and suggestion  you can send mail at contact@codersarts.com. Please write your suggestion in comment section below if you find anything incorrect in this blog post. #python #generatorsinpython #generators #pythonassignmenthelp #assignmenthelp

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  • Python Assignment : Stock Price Simulator Solutions

    Learning Objectives: To understand the concept of Class and Object. To identify classes and their fields/methods from a problem statement. To understand overloading methods including class constructors. To generate random numbers with the Random class. To write your own testing cases to test your program. To use debugger for debugging your Java program. To use file output to write data to a CSV (Comma Separated Values) file Problem Statement You are required to write a stock price simulator, which simulates a price change of a stock. When the program runs, it should do the following:  Create a Stock class which must include fields: name, symbol, currentPrice, nextPrice, priceChange, and priceChangePercentage.  The Stock class must have two constructor: a no-argument constructor and a constructor with four parameters that correspond to the four fields. o For the no-argument constructor, set the default value for each field such as:  Name: Microsoft  Symbol: MSFT  currentPrice: 46.87  nextPrice: 46.87 o For the argument constructor, set the value of four fields based on the arguments.  The Stock class must have accessors and mutators for all of its fields.  The setter methods must protect a user from setting the currentPrice/nextPrice into negative number. You can set the values to 0 if a user tries to change them to negative values.  The Stock class should have a SimulatePrice() method, which increases or decreases the currentPrice by 0 - 10% randomly, such as 0.56% and 9.65%.  The main program will ask user to enter a name, symbol, current price of a stock. Then, it simulates the prices for next 30 days. It displays the prices for the next 30 days on the console and to a file named output.csv, instead of .txt. CSV (Comma Separated Values) file format is very popular because it can be opened in Microsoft Excel. For more information about CSV, you can read the following article online: o https://www.computerhope.com/issues/ch001356.htm  If a user enters “NONE”, “NA”, 0.0 for name, symbol, current price Input This program requires that you read in the following data values:  A stock’s name, symbol, and current price. o E.g., Microsoft Corporation, MSFT, 45.87. You will use interactive I/O in this program. All of the input must be validated if it is needed. You can assume that for a numeric input value, the grader will enter a numeric value in the testing cases. Output Your program should display the stock’s name, symbol, current price, next price priceChange priceChangePercentage for each day on the console and write to a CSV file.

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