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Noida (Uttar Pradesh)
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
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE II. PIG • Basics • Installation and Configurations • Commands….
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs Map-side join • Reduce-Side join 9. Map reduce – customization Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…...
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India
HADOOP ANALYST TRAINING IN CHENNAI,PERIDOT SYSTEMS, 100% JOB Warm greetings from PERIDOT, Join with us to get placed in MNC.Give a call to ruban(9952010141) to know more. Peridot systems offer a software training course to get job easily in MNC. Trainers are MNC working proffesionals. We are providing a certified course at affordable cost. First your welcome to attend a free demo classes.... Pre-requisites: To learn hadoop admin, basic knowledge of SQL is needed. We provide a complimentary Course “SQL basic” to all learners to brush up SQL. Target learners: If you are Interested in SQL & Scripting Languages, Large Scale Date set operation, Creating values then you can be a Hadoop data analyst. Content: Introduction Hadoop Fundamentals Basic Data Analysis with Pig Processing Complex Data with Pig Multi-Dataset Operations with Pig Extending Pig Pig Troubleshooting and Optimization Introduction to Hive Relational Data Analysis with Hive Hive Data Management Text Processing with Hive Hive Optimization Extending Hive Introduction to Impala Analyzing Data with Impala Choosing the Best Tool for the Job Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141
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Ghaziabad (Uttar Pradesh)
Compiler Design by Alfred VAho
Database System Concepts by S Sudarshan, F Korth, Abraham
Cputer Organization by Carl Haamcher (The bible)
Introduction to Algorithms by Thomas H Cormen
Digital Logic and Computer Design by M Morris Mano
Discrete Mathematics and it's Application by Keneth Rosen
An introduction to Formal Languages and Automata
Arihant GATE with all newly added topics and latest syllabus
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AHandbook on Computer Science and IT
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Short and Formula Guide
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Chennai (Tamil Nadu)
Best C,C++ Training In Chennai With Placement This course is designed for freshers entering into the IT Industry, which will help the candidates to understand the programming language basics, It’s the foundation for all other coding languages. Here we do provide industrial based training which is very much helpful for freshers and non IT background candidates to overcome the knowledge OUR Benefits Real-time Training Free Domo sessions One year tech support Online classes Flexible timings Course Content Introduction Compilers Basics of C++ Structure of a program Variables and types Constants Operators Basic Input/Output Program structure Control Structures Functions Overloads and templates Name visibility Compound data types Arrays Character sequences Pointers Dynamic Memory Data structures Other data types Classes Classes (I) Classes (II) Special members Friendship and inheritance Polymorphism Other language features Type conversions Exceptions Preprocessor directives C++ Standard Library Input/Output with files Contact Details – Syed (9790855020) For More Details Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - 600020.
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Chennai (Tamil Nadu)
BEST C, C++ TRAINING INSTITUTE IN CHENNAI 8056102481... Peridot Systems provide excellent c, c++ training in Chennai adyar with guaranteed placement...call to papitha (8056102481) for more information about the syllabus details...No: 1 Software and Hardware training institute in Chennai adyar... We have good environment... We provide 70% practical based training and 30% theoretical training... “REAL TIME TRAINING PROVIDED BY WORKING EXPERTS” Benefits for Students: Course Name: C, C++ Training Types: Online training, classroom training, and corporate training. Batches Types: Weekdays and Weekend batches. Training days: 45 Days Trainers: We have well experienced trainers Training: practical based training Demo classes: 2 days C Definition: C is one of the most widely used programming languages and C compilers are available for the majority of available computer architectures & operating systems. C++ Definition: C++ is a general purpose programming language. It has imperative, object-oriented & generic programming features, while also providing the facilities for low level memory manipulation. C, C++ Contains: Introduction Data Types &Variables Input & Output Management Control-Flow Statements Arrays, Pointers, &Strings, Structures For more information you need please contact us, Mobile no: 8056102481/9600063484 Landline No: 044-42115526 (papitha) Mail to: Papitha.v@peridotsystems.in Our Website: www.peridotsystems.in
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Chennai (Tamil Nadu)
Dot Net Training in Chennai with Placement: ThinkIT systems in Chennai offers the best preparing in Chennai. The preparation will be on the hands of very much experienced resources and having over 8 years of working background Advantages of ThinkIT: • One year specialized backing • Free demo classes • Practical arranged preparing • Placement help • Unlimited lab Access • Experienced Faculties • Limited no of understudies for each bunch Dot Net: .NET Framework (declared spot net) is a thing structure turned out to be by Microsoft that runs essentially on Microsoft Windows. It merges a tremendous class library known as Framework Class Library (FCL) and gives vernacular interoperability (every tongue can utilize code written in unmistakable dialects) more than a few programming languages Course Syllabus: • Introduction • Principles of testing • Software Quality • Life Cycle Model • Types of Testing • Designs in testing For further details visit: http://www.thinkittraining.in/dotnet For further details contact us: Contact person- lakshmi Contact number-9500187290 Mail- jagan@thinkittraining.in Venue- venkatarathinam nagar, Adyar Tags: Dot Net training in Chennai| Dot Net training in Chennai with placements | Dot Net training institute training in Chennai
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Chennai (Tamil Nadu)
C and C++ Training institute in Chennai with 100% Placement Best quality of c and C++ is provided in Peridot Systems. We are the leading training institute in Chennai with 100% placement. Excellent infrastructure and LCD equipped classroom are available in our institute. Get placed in top MNC’S companies with high salary after the completion of course. WHY Peridot Systems? System is provided for each individuals effectively Flexible Class timing Feasible cost 100% placement assurance Conducting Moke Interview Efficient demo classes without pay any fee. Excellent response Free Course certification What is C and C++: C is a one of the high-level software programming language. It was basically used to writing a Unix programs, but its now used for write an applications available platform. Compared to the previous programming languages, C is very easier to be read, it is more flexible and very efficient using memory. C++, is an one of the object oriented programming. The syntax its of C++ identical to be an C language, it have object-oriented features, its allow the user to make objects within the code. its develop a programming very easier, efficient, powerful and flexibility language, most of the software programs its today written in the C++.. C/C++: Introduction Data Types Expression Statements Operators I/O Pointer Functions Array Linker Compiler Assembler WEBSITE: http://www.peridotsystems.in MAIL ID: papitha.v@peridotsystems.in MOBILE NO: 8056102481
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