The document outlines a new Python training course offered by etlhive aimed at aspiring programmers in data analytics. It covers both basic and advanced concepts including sequence and file operations, machine learning, and web scraping, with hands-on training and a focus on debugging skills. Pre-requisites include basic knowledge of Windows or Unix, making it suitable for professionals across various IT roles, as well as beginners.

1. Python
ETLhive bringsa newtrainingcourse inthe widelyacclaimedprogramminglanguagePython,designed
primarilyforthe buddingprogrammerswhowishtomake itbiginthe Data AnalyticsDomain.Thishigh-
level programminglanguage withitspowerfullibrary,clearsyntax,andhighreadabilityhasemergedas
one of the "must-know"languages.The course atthe ETLhive isintendedtoimpartknowledge onthe
basicand advance conceptual frameworksof Pythonwhichincludesanin-depthunderstandingof
sequence andfile operations,machine learning,pythonscripts,functionsinpython,webscrapingetc.
Thiscourse is ideal forprogrammersasitprovidesahelpfulinsightintodebuggingprogrammingerrors,
therefore ensuringbetterprogrammingabilities.Further,there are elaborate lecturesonthe importance
and usage of Machine Learningand ScientificComputingandahands-ontrainingaboutsettingup
PythonEnvironment.
Whoshould opt for this course?
Software ProfessionalssuchasProgrammers,WebDevelopers,ETLDevelopers,AnalyticsProfessionals,
AutomationEngineers,HadoopProgrammers,ProjectManagers,andevenbeginnersmustlearnPython
to compete well andtoensure theirsuccessinthe ITsector.
Pre-requisites
Anyone havingabasicknowledge of WindowsorUNIXcan applyfor thiscourse.Anadditional
knowledge aboutprogrammingwillensurefasterlearningandimplementationinthe real-time projects.
Course and itsstructure
Introduction to Python
- DefiningPython
- Historyof Pythonand itsgrowingpopularity
- Featuresof Pythonanditswide functionality
- Python2 vs Python3
- Runninga PythonScript
- PythonScriptsonUNIX and Windows
- InstallationonUbuntu-basedMachines
- PythonIdentifiersandKeywords
- IndentationinPython

2. - CommentsandWritingtothe Screen
- CommandLine ArgumentsandFlowControl
- User Input
- Summary
- Conclusion
Python Data Types
- Objectives
- Variablesandtheirtypes
- Variables - StringVariables
- Variables - NumericTypes
- Variables - BooleanVariables
- DictionaryandPython
- Typesof Variables - Dictionary
- Comparisionof Variables
- DictionaryMethodsandManipulations
- OperatorsandLogical Operators
- ArithmaticOperationsonNumericValues
- OperatorsandKeywordsforSequences
- Summary
- Conclusion
Functionsand Error HandlingTechniques
- Objectivesof Functions
- FunctionParameters

3. - CreatingandCallingFunctions
- PythonuserDefinedFunctions
- PythonpackagesFunctions
- LambdaFunction
- Loopsin Python - While,Nested,Demo-Create
- Statements- BreakStatements,Continue Statements
- PythonExceptionsHandlingandStandardExceptionHierarchy
- try...except...else
- try...finally...clause
- User-definedExceptions
- Summary
- Conclusion
ObjectOrientedProgramming in Python
- Overview of ObjectOrientedProgramming
- DefiningClasses,Objects,andInitializers
- Attributes - Built-InClass
- DestroyingObjects
- Methods - Instance,Class,Static,Private methods,andInheritance
- Data Hiding
- Module Aliasesandreloadingmodules
- Regularexpressions
- Match Function,SearchFunction,andthe Comparision
- Searchand Replace
- Wildcard

4. - Summary
- Conclusion
Error Debuggingand Project Skeletons
- DebuggingErrors - Unit Tests
- ProjectSkeleton
- CreatingandUsing the Skeleton
Machine Learning with Python
- DefiningMachine Learning
- Implementationof Machine Learning
- Machine LearningandPython
- Algorithms
- LearningNumPyandScipy
- Learning- SupervisedorUnsupervised
- Supervised,UnsupervisedLearningandClassification
- Classificationandk-NearestNeighbours(kNN)
- Building,Testing,andMeasuringthe Performanceof the Classifier
- DefiningClusteringProblem
- k-MeansClustering
- Pandas - CreatingandManipulatingData
- Summary
- Conclusion

5. Scikit, Hadoop and Python
- DefiningScikit-learn
- InbuiltAlgorithms
- DefiningHadoopanditsgrowingpopularity
- Hadoopand MapReduce Framework
- MapReduce JobRun and Python
- PIG,HIVE, andPython
- WebScrapingin Python
- BeautifulsoupPackage
- Summary
- Conclusion