Python Online Training
Introduction to Python Python is the open source high-level programming language which provides constructs intended to enable clear programs. It support multiple programming paradigms like object-oriented and functional programming and features a dynamic type system and automatic memory management. Python acts as a shell which is highly extensible and implementations can function as a command line interpreter. It is used by data scientists for building and using machine learning applications and also used by youtube ad dropbox. Python online training help students gain expertise in machine learning and master the concepts of python.
Course Curriculum Unit 1: Introduction to Scala Topics - Why Scala?, What is Scala?, Introducing Scala, Installing Scala, Journey Java to Scala, First Dive - Interactive Scala, Writing Scala Scripts - Compiling Scala Programs, Scala Basics, Scala Basic Types, Defining Functions, IDE for Scala, Scala Community Unit 2: Scala Essentials Topics - Immutability in Scala - Semicolons, Method Declaration, Literals, Lists, Tuples, Options, Maps, Reserved Words, Operators, Precedence Rules, If statements, Scala For Comprehensions, While Loops, Do-While Loops, Conditional Operators, Pattern Matching, Enumerations Unit 3: Traits and OOPs in Scala Topics - Traits Intro - Traits as Mixins, Stackable Traits, Creating Traits Basic OOPS - Class and Object Basics, Scala Constructors, Nested Classes, Visibility Rules
Unit 4: Functional Programming in Scala and use Traits as Mixins Topics - What is Functional Programming?, Functional Literals and Closures, Recursion, Tail Calls, Functional Data Structures, Implicit Function Parameters, Call by Name, Call by Value Unit 5: Introduction to Big Data and Spark Topics - Introduction to Big Data, Challenges with Big Data, Batch Vs. Real Time Big Data Analytics, Batch Analytics - Hadoop Ecosystem Overview, Real Time Analytics Options, Streaming Data - Storm, In Memory Data - Spark, What is Spark?, Modes of Spark, Spark Installation Demo, Overview of Spark on a cluster, Spark Standalone Cluster Unit 6: Spark Baby Steps Topics - Invoking Spark Shell, Creating the SparkContext , Loading a File in Shell, Performing Some Basic Operations on Files in Spark Shell, Building a Spark Project with sbt, Running Spark Project with sbt, Caching Overview, Distributed Persistence, Spark Streaming Overview, Example: Streaming Word Count
Unit 7: Playing with RDDs Topics - RDDs, Transformations in RDD, Actions in RDD, Loading Data in RDD, Saving Data through RDD, Key-Value Pair RDD, MapReduce and Pair RDD Operations, Scala and Hadoop Integration Hands on Unit 8: Shark - When Spark meets Hive Topics - Why Shark?, Installing Shark, Running Shark, Loading of Data, Hive Queries through Spark, Testing Tips in Scala, Performance Tuning Tips in Spark, Shared Variables: Broadcast Variables, Shared Variables: Accumulators
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