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QA Training Hub is best Python Programing Online Training Center in India. Python Online Training provided by real time working Professional Mr. Dinesh. Data Scientist and RPA Expert with 18+ years of industry experience in teaching Python. PYTHON Online Training Course concepts: Introduction to Script Introduction to Python Different Modes in PYTHON PYTHON NEW IDEs Variables in Python String Handling in Python Python Operators and Operands Python Conditional Statements Python LOOPS Learning Python Strings Sequence or Collections in PYTHON Python Lists Python TUPLE Python Sets Python Dictionary Python Functions Python Modules Packages in Python Python Date & Time File Handling in Python Python OS Module Python Exception Handling More Advanced PYTHON Python Class & Objects Python Regular Expressions Python XML Parser Python-Data Base Communication Multi-Threading Intro to Web scrapping Intro to Data Analytics Introduction to Machine Learning with PYTHON Intro to Data Science Intro to Internet of Things Please Contact Mr. Dinesh Raju India: +91-8977262627, USA: : +1-845-493-5018 Mail: info@qatraininghub.com http://www.qatraininghub.com/python-online-training.php

Python training institute in noida Python training of Inovi Technologies is designed to help you master this highly popular programming language easily. Python is a simple interpreter based, top-level object-oriented general programming language and can be used to easily design and build applications and prototypes. Python is used primarily for web development applications today and has gained the base in the form of a replacement or Java. With a large reusable components and nuggets and every growing library, Python is continuously getting the base as a simple and easy to work with web programming language. The best python training institute in Noida has been carefully prepared to make the curriculum content tailored to the needs of the industry. The topics covered in Python training include the latest and best real-time examples, whose purpose is to help students get the right job after completing the training. Our expert trainers will highlight key topics from Python training on the basis of those questions, which the interviewer can be asked during the job selection process; It provides confidence to students while facing the job interview. https://www.inovitechnologies.com/python_training_institute_in_noida/ Course Content: An Introduction to Python 1.Introductory Remarks about Python 2.A Brief History of Python 3.How python is differ from other languages 4.Python Versions 5.Installing Python 6.IDLE 7.Getting Help 8.How to execute Python program 9.Writing your first program Python Basics 1.Python keywords and Identifiers 2.Python statements 3.Python indentation 4.Comments in python 5.command line arguments 6.Getting user input 7.Exercise Variables and data types 1.Introduction 2.Variables 3.Data types 4.Numbers 5.Strings 6.Lists, tuples & Dictionary 7.Exercise Decision making & Loops 1.Introduction 2.Control Flow and Syntax 3.The if Statement 4.Python Operators 5.The while Loop 6.break and continue 7.The for Loop 8.Pass statement Functions,Modules,Packages and- Exception Functions 1.Introduction 2.Calling a function 3.Function arguments 4.Built in functions 5.Scope of variables 6.Decorators 7.Passing Functions to a Function 8.Lambda 9.Closures Modules and Packages 1.Modules 2.Importing module 3.Standard Module - sys 4.Standard Module - OS 5.The dir Function 6.Packages Exception Handling 1.Errors 2.Run Time Errors 3.Handling IO Exceptions 4.Try.... except statement 5.Raise 6.Assert Files,Classes,Regular Expressions and- Socket programming Files and Directories 1.Introduction 2.Writing Data to a File 3.Reading Data From a File 4.Additional File Methods 5.Working with files 6.Working with Directories 7.The pickle Module Classes Objects 1.Introduction classes and objects 2.Creating Classes 3.Instance Methods 4.Special class method 5.Inheritance 6.Method overriding 7.Data hiding Regular Expressions 1.Introduction 2.Match function 3.Search function 4.Grouping 5.Matching at Beginning or End 6.Match Objects 7.Flags Socket programming 1.What are sockets? 2.Creating sockets 3.Server-client socket methods 4.Connecting client server 5.Client-server chatting program Our Courses: Java Mean Stack Artificial Intelligence Hadoop Devops Python RPA Machine learning Salesforce Linux And Red Hat Data Scientist Web Designing Contact: Email:-info@inovitechnologies.com Address: F-7, Sec-3 Noida UP 201301 Mobile No: 9354482334 ,8810643463 Phone No: +91-120-4213880

Python Selenium Training course for Data Science in Chennai is created to cover different looks like python selenium programming environment which involves supporting python selenium training programming methods like lambdas, learning & planning .csv files. Methods for data administration and sterilization are successful. Python Essentials * Python Decision Making & Functions - Python Decision Making - Python if, else and else-if Statements - Python Loops - Python while and for loop - Break, Continue and Pass - Python Date and Time PyTest * Fixtures & Dependency - Fixtures - Running Test cases in particular order - Dependency of Test cases Python with Selenium * Introduction to Selenium Webdriver - Configure Selenium Python Libraries in eclipse - Check Selenium Version - Webdriver 3 - Selenium RC, WebDriver 2 and WebDriver 3 - Architecture of Selenium Web driver - Different Drivers - FirefoxDriver, ChromeDriver, InternetExplorerDriver and EdgeDriver Contact Us: Whizdom Trainings Call : (91)-8968585110 Email:- seleniumtraining10@gmail.com Website:- https://www.seleniumtraining.com/selenium-python-training

If you are looking for the Best platform to learn Data science, is an interdisciplinary field that uses statistical and computational methods to extract insights and knowledge from data. Its goal is to provide actionable insights, predictions, and recommendations based on data by using techniques such as machine learning algorithms, data visualization, and statistical analysis. Data science is used in various industries, including finance, healthcare, marketing, and technology, to solve problems such as fraud detection, risk management, and predictive maintenance. Data science provides numerous benefits to organizations, including better decision-making by identifying patterns, trends, and opportunities from data. It also improves efficiency by automating tasks and streamlining processes. Data science enables personalized customer interactions, leading to enhanced customer experience and loyalty. Organizations can reduce costs and gain a competitive advantage by optimizing their operations and providing better customer experience. Overall, data science is a valuable tool for organizations to improve their performance and achieve their business goals. Best platform to learn Data science, is a field that can be learned by anyone with the right resources and dedication, and there are many online courses, books, and tutorials available to help individuals learn the necessary skills and one of the best platform to learn Data Science is TalentServe. Employment in the field of data science is projected to grow by 11% from 2019 to 2029, which is much faster than the average for all occupations, due to the increasing demand for data-driven insights in various industries. Data science encompasses various activities, including data collection, data cleaning and preprocessing, exploratory data analysis, feature engineering, model selection and evaluation, and communication of results. It also involves using machine learning algorithms, data visualization, and statistical analysis to make predictions and provide actionable insights based on data. For more, details visit our site:https://www.talentserve.org/course-datascience COURSE CONTENT Introduction to Python Basic Steps NUMPY Data Visualization Pandas Exceptions and Errors Introduction to Artificial Intelligence and Machine Learning Data Wrangling and Manipulation Supervised Learning Supervised Learning-Classification Unsupervised learning Machine Learning Pipeline Building Decision Tree Analysis and Ensemble Learning AI and Deep learning introduction Artificial Neural Network Deep Neural Network & Tools Deep Neural Net optimization, tuning, interpretability Convolutional Neural Net Recurrent Neural Networks Overfit and underfit Transfer Learning Working with Generative Adversarial Networks Pytorch C-103, 1st Floor, Shree Sai Tower, CHSL, Sodawala Lane, Near Sterling Hospital, Borivali (W), Mumbai-400092 hello@talentserve.org

Automation Testing ||Selenium Training||Opensouce Testing Tool Training||Webdriver||Selenium Training with placement||Selenium Tool Training at Coimbatore||Placement Training for Selenium||Functionality Testing Training||Mazenet Training||Gandhipuram||Testing Training||IT Training with Placement||software Testing Selenium is a free (open source) automated testing suite for web applications across different browsers and platforms. Selenium is designed in a way to support and encourage automation testing of functional aspects of web based applications. Selenium automates browsers and web applications for testing purposes like real events in the browser: mouse clicks, button clicks, entering text, and events from the keyboard. Why Selenium? •Selenium automation testing tool has the capability to operate on almost every OS like Windows, Linux, Macintosh, etc. •Selenium is an open source tool and hence is cost-effective automation testing. •One of the Selenium components (Selenium IDE) provides a record/playback tool for authoring tests without learning a test scripting language. •Selenium supports multiple programming languages such as Python, Pearl, PHP, Ruby,.NET (C#) and Java. You are required to be comfortable in just a single language in order to operate Selenium. •The language used for building the program is independent of the programming language that the web application or website is using •This testing tool supports a range of browsers like Opera, Safari, Chrome, IE 6, 7, 8 and Mozilla Firefox. •Selenium has a very dynamic developer community that is backed by Google. •Selenium has a number of robust methods for location of elements such as CSS, Xpath, DOM, and so on. •Selenium provides support for integration of open source Testing frameworks like TestNG, JUnit, NUnit, etc. Some of the largest companies in the world like Google, Salesforce, and Facebook use Selenium extensively to test their applications. Automation Testing ||Selenium Training||Opensouce Testing Tool Training||Webdriver||Selenium Training with placement||Selenium Tool Training at Coimbatore||Placement Training for Selenium||Functionality Testing Training||Mazenet Training||Gandhipuram||Testing Training||IT Training with Placement ||Software Testing Introduction •Testing concepts revision •Automation testing overview •Brush-up of Core Java •Introduction to Selenium •Different flavors in Selenium •Introduction about the Selenium IDE,RC,WEB Driver Selenium IDE •Introduction to Selenium IDE •Install Selenium IDE and FireBug •IDE Features, Panes •Recording/Creating your First Selenium IDE script •How to use Locators in Selenium IDE - Locator Types: ID, ClassName, Name, Link Text, Xpath, CSS Selector •Debugging, breakpoints •Stepping through test case •Understand log pane •Commands, Actions, Asserts, Accessors •Regular expression •Write your own Selenium IDE script without record and playback Selenium RC •Introduction of Selenium Remote Control •Overview of Selenium Remote Control using Java •Comparison of Selenium IDE and Selenium Remote Control •Use of Selenium Remote Control •Download and Install selenium RC •Set up Environment variable and Start RC •Record and Convert to Selenium RC •Selenium RC in Eclipse using Junit •Start & Stop Selenium RC from eclipse Selenium Webdriver •Introduction to WebDriver •Guide to install Selenium WebDriver •Creating your First Script in Webdriver •Accessing Forms in Webdriver •Keyboard Mouse Events, Uploading Files - Webdriver •Handling Drop-downs •Looping and Conditional commands •Explicit and Implicit Waits •Handling Alerts/popups •Commonly used commands •Accessing Links & Tables using Selenium Webdriver - Handling Web Tables, Frames, Dynamic Elements •Exception Handling Why Mazenet? •We are partner with “Oracle Workforce Development” •Expertise in Corporate/ Retail/ Consultants & Solutions •Global Certified & Experienced Professionals to Impact Knowledge •Flexible Training Mode - Classroom/ Online/ Boot Camp •Limited Number of Students Per Batch •Practical Hands-On Experience on Each Topic •Technical Sessions with Real Time Exposure •Placement Support - Job Fair/ Client Walk-in Drive •Industry Based Real Time Projects Our Syllabus Meets Industry Demand Automation Testing ||Selenium Training||Opensouce Testing Tool Training||Webdriver||Selenium Training with placement||Selenium Tool Training at Coimbatore||Placement Training for Selenium||Functionality Testing Training||Mazenet Training||Gandhipuram||Testing Training||IT Training with Placement||Software Testing Reach us Mazenet Solution (P) Ltd. 12E,Padmalaya Towers,1st Floor, 10th Street,Gandhipuram, Coimbatore - 641012. Mob:96777 49786

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SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Classroom Training SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Contact us today for practical Data Science & Big Data /Data Analytics Online Training: Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

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SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course.

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SELENIUM TESTING TRAINING IN HYDERABAD INTRODUCTION TO SELENIUM TESTING TOOL: Selenium is a portable software testing framework for web applications.Selenium provides a record/playback tool for authoring tests without learning a test scripting language (Selenium IDE). It also provides a test domain-specific language (Selenese) to write tests in a number of popular programming languages,including C#, Java, Groovy, Perl, PHP, Python and Ruby. The tests can then be run against most modern web browsers. Selenium deploys on Windows, Linux, and Macintosh platforms. INTRODUCTION What is Automation Testing When it comes into the picture What are the uses of automation testing INTRODUCTION TO SELENIUM What is Selenium Use of Selenium When Selenium can be useful in testing Features of Selenium Differences between Selenium and QTP SELENIUM COMPONENTS Selenium IDE Selenium RC Selenium Grid DOWNLOADING SELENIUM IDE FROM MOZILLA Recording the script Running the script How to save recorded script Object Identification Difference between test case and test suite Languages supported while recording Synchronization in Selenium IDE Testing vs. Selenium IDE When to use Selenium IDE How to run recorded script against other browsers Why companies are not using recording tools CREATING THE ENVIRONMENT FOR SELENIUM RC Creating generic scripts in Selenium Creating scripts by using functions Running the scripts in Eclipse Inheritance Browser commands with examples Interactive commands with examples Information commands with examples Validation commands with examples How to take data from Excel sheets Why to use Excel sheets How to take large amount of data from Excel sheets How to export data to Excel sheets Export large amount of data to an Excel sheet How to export results after completion of test execution How to use Eclipse Debugging the script Maintaining synchronization points How to handle popups and alert messages DEVELOPING REUSABLE SCRIPT FOR ANY PROJECT Automation Life Cycle VALIDATIONS What is Validation What is the use of validation in automation testing When to use validations in real time How to use validations FRAMEWORK What is a Framework Types of Frameworks What is modular framework What is data driven framework What is keyword driven framework What is hybrid framework Use of framework Explaining about your framework How to develop a framework Integration of the framework How to execute scripts from framework CORE JAVA FUNDAMENTALS Java Programming Language Keywords Class and Object Data Types Array Declaration, Construction and Initialization FLOW CONTROL, EXCEPTIONS AND ASSERTIONS Writing code using if and switch Writing code using loops Handling exceptions Working with the assertion mechanism OBJECT ORIENTATION, OVERLOADING AND OVERRIDING, CONSTRUCTORS Benefits of Encapsulation Overridden and Overloaded Methods USING THE JAVA.LANG.STRING CLASS Using the java.lang.Math Class Using Wrapper classes Using the equals() method with strings and wrappers and objects INNER CLASSES Method local inner classes Anonymous inner classes Static nested classes DEFINING, INSTANTIATING AND STARTING THREADS Preventing thread execution Synchronizing code Thread interaction JUNIT INTRODUCTION Proving it works Starting from scratch Understanding unit testing frameworks Setting up JUnit Testing with JUnit OBJECT REPOSITORY What is object repository How to use object repository in framework What is the use of maintaining object repository Types of creating object repository ADDITIONAL CONCEPTS How to use Xpath How to use DOM How to use key commands Result Analysis Interview Questions If you want to know more about Selenium Testing Training do not hesitate to call +91-9393 002 123 or mail us on info@unitedglobalsoft.com

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