Description

Now is the time to get certified for Python!This course is designed to help you prepare for the Python Professional Certification exam by providing you with a series of chapter-wise practice tests.This Exams all over contains 20 Chapters to give you the best thrilling experience on the Complete Python Programming Exam Tests! About:Every Question has complete explanation.All Questions are carried from the best programming institutes and all the knowledgeable areas.No matter you are a student or a professional programmer, this exam is well designed for everyone from the experts.Exam Syllabus (Chapter Wise):Chapter 1: Introduction to PythonWhat is Python?History of PythonFeatures of PythonAdvantages of using PythonSetting up the Python environmentRunning a Python programChapter 2: Variables, Data Types and OperatorsVariables and Naming ConventionsData Types: Numbers, Strings, BooleansType Conversion and Type CheckingOperators: Arithmetic, Assignment, Comparison, Logical, BitwiseChapter 3: Control StatementsConditional Statements: if, else, elifLooping Statements: for loop, while loopLoop Control Statements: break, continue, passNested loops and conditional statementsChapter 4: Functions and ModulesDefining and calling a functionFunction Arguments: Positional, Keyword, Default and Variable-length argumentsReturning values from a functionModules: Creating and importing modulesStandard LibrariesChapter 5: Object-Oriented Programming (OOP) conceptsClasses and ObjectsData Hiding and EncapsulationInheritance and PolymorphismAbstract classes and InterfacesChapter 6: File Handling and Input/Output OperationsOpening and Closing FilesReading and Writing to FilesBinary Files and File ModesWorking with DirectoriesChapter 7: Exception HandlingWhat are exceptions?Handling exceptions using try and except blocksMultiple except blocks and else clauseRaising exceptionsChapter 8: Regular ExpressionsWhat are regular expressions?Pattern matching and substitutionMeta-characters and Character ClassesRegular Expression functions in PythonChapter 9: Working with Databases and SQLConnecting to a databaseCreating tables and inserting dataRetrieving data from tablesUpdating and Deleting dataSQL Injection and PreventionChapter 10: Data StructuresListsTuplesDictionariesSetsArraysChapter 11: NumPy and SciPy LibrariesIntroduction to NumPy and SciPyArrays in NumPyMathematical Operations on ArraysLinear Algebra using SciPyChapter 12: Pandas LibraryIntroduction to PandasData Structures in PandasData Manipulation using PandasData Analysis using PandasChapter 13: Matplotlib LibraryIntroduction to MatplotlibTypes of Plots: Line, Bar, Scatter, Histogram, etc.Customizing PlotsSubplots and FiguresChapter 14: Flask Web FrameworkIntroduction to FlaskCreating a Flask ApplicationRouting and RequestsTemplates and FormsChapter 15: Django Web FrameworkIntroduction to DjangoCreating a Django ApplicationModels, Views, and TemplatesAdmin InterfaceChapter 16: Machine Learning and Data Science with PythonIntroduction to Machine LearningScikit-Learn LibraryLinear RegressionClassificationClusteringChapter 17: Natural Language Processing (NLP) with PythonIntroduction to NLPText PreprocessingText Classification and Sentiment AnalysisNamed Entity RecognitionChapter 18: GUI Programming with Tkinter LibraryIntroduction to TkinterCreating a GUI ApplicationWidgets and LayoutsEvent HandlingChapter 19: Advanced Python ConceptsMultithreading and ConcurrencyNetworkingGUI Toolkits: PyQt, Kivy, etc.Debugging and ProfilingChapter 20: SecretSecret!Note: This exam Covers all the topics on Complete Python Programming from Scratch!What are you waiting for? Join now and get Certified!