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Database is collection of data in a most efficient way so that insertion, update ,deletion ,and selection. To perform most common operation there are lots of database available over internet to fulfill different purpose. Database is important part of our project and as a software engineer or developer or even if you are computer science student you must know as much so that you can perform basic and medium level query easily. Database schema is refer to high level data collection view not details view. Like suppose you are going to design database schema of colleges then database schema includes all table with fields name , key attribute, and relation between tables. You may think database schema as ERD but not exactly same because in ERD diagram you mention each attribute, derived attribute, relation with diagonal same like that but this is not included in database schemas. Here is official definition of Database schema- The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases). The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database. Here is some common tool for Database Diagram Design Microsoft Visio dbdiagram.io Draw.io

Hi, In this blog we will learn all about regular expression. Now a day regular expression is include most of project framework to connect urls so its important know all about regular expressions. So to solve this and provide best help here we will try to give complete study package of regular expression with example so that you can apply it easily at any where in python. In python there are 14 metacharacters which used in reg. which we listed below: And use some Unicode string patterns to find string as per these basis : \d : Matches any decimal digit; this is equivalent to the class [0-9]. \D : Matches any non-digit character; this is equivalent to the class [^0-9] \s : Matches any whitespace character; this is equivalent to the class [ \t\n\r\f\v]. \S : Matches any non-whitespace character; this is equivalent to the class [^ \t\n\r\f\v]. \w : Matches any alphanumeric character; this is equivalent to the class [a-zA-Z0-9_]. \W : Matches any non-alphanumeric character; this is equivalent to the class [^a-zA-Z0-9_]. Let's Start with some examples First need to import it by using this : >>> import re Here list some important methods which used to search string patterns compile() split() sub() subn() escape() search() match() findall() compile() We can combine a regular expression pattern into pattern objects, which can be used for pattern matching. It also helps to search a pattern again without rewriting it. split() This will split at every space that is followed by a string of upper-case letters which end in a word-boundary. sub() The re.sub() function in the re module can be used to replace substrings. The syntax for re.sub() is re.sub(pattern,repl,string). That will replace the matches in string with repl. Example: subn() This function is similar to sub() in all ways except the way in which it provides the output. It returns a tuple with count of total of all the replacements as well as the new string. Syntax: escape() Return string with all non-alphanumerics backslashes; this is useful if you want to match an arbitrary literal string that may have regular expression metacharacters in it. Example: search() Scan through string looking for the first location where the regular expression pattern produces a match, and return a corresponding match object. Return None if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string. Example: match() The match function is used to match the RE pattern to string with optional flags. In this method, the expression "w+" and "\W" will match the words starting with letter 'g' and thereafter, anything which is not started with 'g' is not identified. Example: findall() The expression re.findall() returns all the non-overlapping matches of patterns in a string as a list of strings. Example: 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

In this blog we will learn basic concept all about big data and spark, and how to install it and how to start work. Codersarts Assignment Help is a top rated professional website when we talk about programming help, project help, homework help and other computer science related assignments. Big Data Assignment is highly professional concept with combination of Information technology and business management and the best use of large volume of electronic data.  Students are not able to do the Big data assignment and its solution in effectively and we come with service to give you support. Here we have provide efficient way to handle big data assignment so you can use it in our business management. What is Big Data ? Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity or we can say big data is technology which used to handle large volume of data. We can define it many way like : Big data is larger, more complex data sets Big Data Define as - Lots of data , Big data is the term for a collection of data, etc. Characteristics of Big Data Volume : With big data, you’ll have to process high volumes of low-density, unstructured data. Velocity : Velocity is the fast rate at which data is received and (perhaps) acted on. Variety : The data that is stored can be in variable format. It can be in the form of text, diagram, graph audio etc. Uses of Big Data Product Development Predictive Maintenance Predictive Maintenance Fraud and Compliance Machine Learning Operational Efficiency Drive Innovation Analytics How it works It involves three key : Integrate : It use traditional data integration mechanisms, such as ETL (extract, transform, and load) generally aren’t up to the task. Manage : Big data requires storage. Your storage solution can be in the cloud, on premises, or both . So you need to handle own storage. Analyze : Your investment in big data pays off when you analyze and act on your data. How to install Big data Hadoop it in windows Here we will provide complete configure zip file so you can easily install it in the widow without set configuration. So please follow process to install it in window because it is difficult and no proper solution find to install it in windows on the internet. Steps 1: Check either Java 1.8.0 is already installed on your system or not, use "Javac -version" to check. Step 2 : If Java is not installed on your system then first install java under "C:\JAVA" Step 3 : Extract file Hadoop 2.8.0.tar.gz or Hadoop-2.8.0.zip and place under "C:\Hadoop-2.8.0". Step 4 : Set the path HADOOP_HOME Environment variable on windows 10(see Step 1,2,3 below). Step 5 : Set the path JAVA_HOME Environment variable on windows 10(see Step 1,2,3 below). Step 6 : Next we set the Hadoop bin directory path and JAVA bin directory path. Configuration You need to configure by editing four file, but here we also attached already configure file so you need to run directly without configure it. Download Hadoop 2.8.0 (Link: http://www-eu.apache.org/dist/hadoop/common/hadoop-2.8.0/hadoop-2.8.0.tar.gz OR http://archive.apache.org/dist/hadoop/core//hadoop-2.8.0/hadoop-2.8.0.tar.gz) Java JDK 1.8.0.zip (Link: http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html) Replace bin in hadoop by this configure file : Dowload file Hadoop Configuration.zip (Link: https://github.com/MuhammadBilalYar/HADOOP-INSTALLATION-ON-WINDOW-10/blob/master/Hadoop%20Configuration.zip) Now it ready to run Open cmd and typing command "hdfs namenode –format" then new name node window open To test run all window : Open cmd and change directory to "C:\Hadoop-2.8.0\sbin" and type "start-all.cmd" to start apache. Output look like that: Now it run properly. Other Codersarts 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 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

To Start this blog first we know all about Artificial Intelligence. What is Artificial Intelligence ? Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Artificial intelligence is a technique for customizing a problem to find a better solution. Its different approaches help in making the machine in the Natural intelligent unit. Types of Artificial Intelligence : It divided into two parts as per this functionalities Parts 1 - Weak AI Strong AI Parts 2 - Reactive Machines Limited Memory Theory of Mind Self-awareness Some of the activities computers with artificial intelligence are designed for include: Speech recognition Learning Planning Problem solving Knowledge Reasoning Perception Ability to manipulate and move objects and so on Machine learning is also a core part of AI. Get Help in Artificial Intelligence Assignments By Codersarts Codersarts provides best services if you are worried about your grades in Artificial Intelligence Assignment, then take help from our assignment expert and score high in the final results. Our Expert team is always ready to do your assignments if you not have a time to do this. Topic of Areas which covered by our Experts : Speech recognition OpenCV Learning Machine Vision The Human Intelligence Neural Networks Enterprise Principles of Autonomy  and Decision Making Minds and Machines Natural Language Representation of Knowledge Advanced Natural Language Processing Knowledge-Based Applications Systems Areas which covered by Artificial Intelligence Now a days AI Covers many areas which is given below: AI in healthcare. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans. One of the best known healthcare technologies is IBM Watson. The system mines patient data and other available data sources to form a hypothesis, which it then presents with a confidence scoring schema. Other AI applications include chatbots, a computer program used online to answer questions and assist customers, to help schedule follow-up appointments or aid patients through the billing process, and virtual health assistants that provide basic medical feedback. AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers. Chatbots have been incorporated into websites to provide immediate service to customers. Automation of job positions has also become a talking point among academics and IT analysts. AI in education. AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers. AI in finance. AI in personal finance applications, such as Mint or Turbo Tax, is disrupting financial institutions. Applications such as these collect personal data and provide financial advice. Other programs, such as IBM Watson, have been applied to the process of buying a home. Today,  software  performs much of the trading on Wall Street. AI in law. The discovery process, sifting through of documents, in law is often overwhelming for humans. Automating this process is a more efficient use of time. AI in manufacturing. This is an area that has been at the forefront of incorporating robots into the workflow. Industrial robots used to perform single tasks and were separated from human workers, but as the technology advanced that changed . Reason to take services by Codersarts There are many reason so that your first choice is codersarts 24/7 hours services Affordable price Work done within due date Plagiarism free code Provide technical support to run code without any extra pay. Other services provided by codersarts 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

Definition Sandboxing is security mechanism which is used in computer security. Sandboxing technology main purpose is to separate system failures or software vulnerabilities from spreading and execute untested or untrusted programs or code, possibly from unverified or untrusted third parties, suppliers, users or websites, without risking harm to the host machine or Operating System. Common Example of sandboxing is Online Programming compiler Like HackerRank HackerEarth Codeforces Codechef A sandbox typically provides a tightly controlled set of resources for guest programs to run in, such as scratch space on disk and memory. Network access, the ability to inspect the host system or read from input devices are usually disallowed or heavily restricted. Scratch space is space on the hard disk drive that is dedicated for only temporary storage. It cannot be used to permanently back up files. Scratch disks can be set to erase all data at regular intervals so that the disk space is left free for future use. The management of scratch disk space is typically dynamic, occurring when needed. A sandbox is implemented by executing the software in a restricted operating system environment, thus controlling the resources (for example, file descriptors, memory, file system space, etc.) that a process may use.It provides an extra layer of security that prevents malware or harmful applications from negatively affecting your system.

In this blog we will learn about web Scraping using python with multiple libraries such as Selenium and Soup, and other magic tools. Now a days web scraping used to find information for reading and other data extracting and work on these data. Most of people used it as a malicious purpose but it useful if you use it for own develop skills without any malicious purpose. By using web scraping you can extract information of any web URL link and use it as per your requirements. Table of content which we will covers in this blog What is web Scraping ? Advantage of web Scraping Install and Using Beautiful Soup Scrape using Beautiful Soup Scraping Using Selenium+PhantomJS What is web Scraping ? It is a process of extracting data from the web, you can analyze the data and extract useful information By this, You can store the scraped data in a database or any kind of tabular format such as CSV, XLS, etc, so you can access that information easily. Advantage of web Scraping Why I should scrape the web and I have website like google? It is not for creating search engines only. But use for take informations. You can check any website and his content, what client is happy from this and you can use content like this so that you can make our client happy. A successful SEO tool like Moz that scraps and crawls the entire web and process the data for you so you can see people’s interest and how to compete with others in your field to be on the top. Most of website owner use it for making money. Install Beautiful Soup Use pip command to install - Window For Debian or Ubuntu Linux use: Scrape using Beautiful Soup It you want to scrape using Beautiful Soup then follow these below steps: Step 1 : Find the URL which you want to Scrape : First you need to decide which webpage you want to scrape, to do this first you find URL which fulfill your requirement. Step 2 : Identify page Structure : In this you need to identify HTML page structure so you can extract important information without any useful information. Step 3 : Install request package : After installing Beautifulsoup install need to install request package. Use below pip command to install request package Step 4 : In last we write code to scrape web URL content as per our requirements. Explain: paragraphs = page_content.find_all("p")[i].text finds all of the elements in the HTML. the .text allows us to select only the text from inside all the elements. Other Beautiful Soupe host ways: Scraping Using Selenium+PhantomJS What is Selenium? Selenium is a Web Browser Automation Tool. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that. It allows you to open a browser of your choice & perform tasks as a human being would, such as: Clicking buttons Entering information in forms Searching for specific information on the web pages First install Selenium Package : You can install selenium package using the following command Create Virtual Environment : $ mkvirtualenv scraping Install it using pip command : $ pip install selenium you can follow these link to Scrape image page, click here 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

How to Open multiple window in mainwindow in PyQT using MDI- To open multiple window in pyqt, you can MDI features, which enable multiple window within the mainwindow. Here we attached output of 3 Coding parts which we will covers in this tutorial. Type 1 : When you click Subwindow, it display list of subwindow, after clicking on subwindow 1 new child window open within main window as per screenshot Type 2 : In this new child window open separate from mainwindow Type 3 : In this we load widget from current directory using textbox inside the main window and it published message when file exist if not exist in current directory then show error. In Previous blog we covers how to install PyQT and how to work with client and server to publish message. Here we attached a link, you can read these previous blog before start it - Python GUI with PyQT- How to import UI file from the current directory to PyQT GUI Paho MQTT Python Client with PyQT - subscribes to a topic and publishes messages on that topic using Paho MQTT Python Client. Here we provide complete codes in different types format so you can understand it easily. Here we add different types of code to open child window using MDI. Type - 1 Type - 2 Open child window using main window button Type - 3 Give file name which located in current directory using text box, it search if file exist and widget window open in main window and publish message in cmd and not exists then give error and not open widget window in main window 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

What is python Introspection ? Introspection used to self examination of python objects Properties and type at the runtime. By using introspection, we can dynamically inspect Python objects. List of important Introspection dir() type id() sys hasattr() issubclass() callable() dir() It returns a sorted list of attributes and methods belonging to an object. syntax: >>> dir(()) Output: ['__add__', '__class__', '__contains__', '__delattr__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__getslice__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'count', 'index'] Here we use dir() with different ways: obj = classname() print(dir(obj)) print(dir([])) print(dir({})) print(dir(1)) print(dir()) print(dir(len)) print(dir(sys)) print(dir("String")) Add modules in dir() In dir() add modules using import >>> import math, os >>> dir() It import two module, math and os in dir() type() It returns the type of an object. Example: #!/usr/bin/python3 # typefun.py import sys def function(): pass class MyClass(object): def __init__(self): pass o = MyClass() print(type(1)) print(type("")) print(type([])) print(type({})) Output: id() function It returns a special id of an object. Example: #!/usr/bin/python3 # idfun.py import sys def function(): pass class MyClass(object): def __init__(self): pass o = MyClass() print(id(1)) print(id("")) print(id({})) print(id([])) Output: 10914368 139696088742576 139696087935944 139696065155784 sys module It provides access to system specific variables and functions used or maintained by the interpreter and to functions that interact strongly with the interpreter. First import the sys module: >>> import sys If you want to check which platform is running currently then use this >>> sys.platform It return the system python where python script folder exists: >>> sys.path hasattr() function It checks if an object has an attribute callable() function It checks if an object is a callable object (a function). Now this blog is completed if you want to read more about programming language with Codersarts then go to the codersarts blogs 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

Introduction: In this Blog, we will Create an application which uses the Twitter Search API to fetch tweets from Twitter using Twitter's API. To connect to Twitter’s API, we will be using a Python library called Tweepy, which we’ll install in a bit. Installing Tweepy Tweepy is an excellently supported tool for accessing the Twitter API. It supports Python 2.6, 2.7, 3.3, 3.4, 3.5, and 3.6. There are a couple of different ways to install Tweepy. The easiest way is using pip. USING PIP Simply type pip install tweepy into your terminal. USING GITHUB You can follow the instructions on Tweepy’s GitHub repository. The basic steps are as follows: git clone https://github.com/tweepy/tweepy.git cd tweepy python setup.py install You can troubleshoot any installation issues there as well. We will fetch some tweets, store them into a DataFrame and do some interactive visualization to get some insights. In order to access Twitter's API you need to have the below: Consumer API key Consumer API secret key Access token Access token secret In order to get these these keys, You'll have to create a developer account on the Twitter apps site. Log in or make a Twitter account at https://apps.twitter.com/. Create a new app (button on the top right) It is a very simple 5-minute process to get those. After you create an app and fill-in the app details, you can just go into your app details, go to the keys and tokens tab, click generate, and you'll have your keys and tokens. Getting the Tweets We start by storing our keys and tokens in variables access_token = 'paste your token here' access_token_secret = 'paste your token secret here' consumer_key = 'paste your consumer key here' consumer_secret = 'paste your consumer secret here' Next we import the libraries we'll use for now: import tweepy import numpy as np import pandas as pd Now we authenticate using our credentials as follows: # Creating the authentication object auth = tweepy.OAuthHandler(consumer_key, consumer_secret) # Setting your access token and secret auth.set_access_token(access_token, access_token_secret) # Creating the API object while passing in auth information api = tweepy.API(auth) Example 1: Let's see what people are tweeting about "Machine Learning" for tweet in api.search('Machine Learning'): print(tweet.text) Example 2: Fetching the ten most recent tweets from your Twitter feed so do this we'll have to use the API object’s home_timeline() function. Using the API object to get tweets from your timeline, and storing it in a variable called public_tweets public_tweets = api.home_timeline() # foreach through all tweets pulled for tweet in public_tweets: # printing the text stored inside the tweet object print(tweet.text) Recommended Posts:

How to import UI file from the current directory to PyQT GUI Python GUI with PyQT In this blog we learn how to create python GUI with PyQT and how to import widget element from any current directory file. To start this first we will learn about- Python GUI Assignment Help Using PyQt PyQt Python Assignment Help or Python PyQt Assignment Help What is pyQT ? PyQt is a GUI widgets toolkit which used to create python GUI. It is a Python interface for Qt, one of the most powerful, and popular cross-platform GUI library. PyQt is a blend of Python programming language and the Qt library. This introductory tutorial will assist you in creating graphical applications with the help of PyQt. Why student need PyQt Python Assignment Help or Python PyQt Assignment Help ? Now a day python has different types of toolkit like Python WX, PyQT, Kevy, etc . So to handle all these GUI toolkit is very complicated so our expert team help you to handle it easily and save your time to do any other work. Installing pyQT5 Here we use pycharm editor because it is simple to use and easy to install python library. Use pip command to install PyQT Open pycharm and paste this in to the terminal >python -m pip install pyqt5 After installing it now we create a separate .ui file and put it into our current directory. Example of .ui file Put this .ui file into the current directory and then write code using PyQT to insert these .ui element into the PyQT GUI. Follow below code: This display .ui file content in main window GUI. In next blog we will learn how to publish message using PyQT, MQTT client, when import file into python PyQT GUI. 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

Github pages is very useful for developer, company and other who want to show the project portfolio of all your GitHub Project as well as other personal project and can organise project description with more descriptive form like website. And this is completely free Hosted directly from your GitHub repository. Just edit, push, and your changes are live. Ready to get started? Build your own site from scratch or generate one for your project. You get one site per GitHub account and organization, and unlimited project sites. Let‘s get started Github pages

Start contributing to open-source projects on GitHub Do internships Do freelancing Start sharing your knowledge on Quora, Medium , Stack Overflow or Youtube Attend offline/online hackathons Work on some projects of your own Build some usefull things for your local people or friend organizations Attend on Topcoder or Hacer One