A Master's Course in Python: with Certification
The course includes Certificate of Certification if the students submit the Final Exam with the project that accompanies this book. A Master's Course in Python course is designed to provide students with a solid foundation in Python programming, as well as an introduction to web development, data science, and machine learning. The course covers the fundamental concepts of Python, including data types, variables, control structures, functions, and modules. It also covers advanced essential concepts and best practices of Python. It includes real world case studies, a wealth of Research reports on Python programming concepts, Reference for additional books, website, and other study material as well as a Glossary of Terms. It provides hands-on experience with real-world projects, and prepares students for future opportunities in the field of software development. By the end of the course, students will be able to have a University level of Python programming.
Table of Contents:Module 1Introduction to PythonDefinitions for this weekWhat is Python?Why do we need to use Python?Careers in PythonSoftware for Learning PythonSetting up the Development Environment in PythonBest ApproachCase StudiesSyntax and StructureData TypesSets and BytesDeclaring VariablesNaming ConventionsBasic operations with VariablesControl StructuresLoopsDictionariesFunctions and ModulesResourcesReferencesQuiz 1Functions ContinuedParametersReturn ValuesRecursionsTraversingGenerating PermutationsCombinationsImport StatementCase StudiesResourcesWebsites:Quiz 2Module 3Aspects of Good Software DevelopmentClasses and ObjectsInheritance and PolymorphismReusable codeMaintainable codeError HandlingFile Input/Output (I/O)Regular Expressions (regex)SQLite, MySQL, and PostgreSQLLists and TuplesSlicing and IndexingEncapsulations and AbstractionDecorators and GeneratorsReview Case StudiesResourcesWebsites:Books:Quiz 3Module 4CSV and JSONAPI and XMLSOAPRESTGET, POST, PUT, and DELETELambda FunctionsFlask and Django FrameworkORMWeb DevelopmentHTML, CSS and JavaScriptBuilding Web ApplicationsDatabase ManagementFinal ExamProject: Building a To-Do List ApplicationResourcesBooksReferencesResearch StudiesGlossary of Terms
Table of Contents:Module 1Introduction to PythonDefinitions for this weekWhat is Python?Why do we need to use Python?Careers in PythonSoftware for Learning PythonSetting up the Development Environment in PythonBest ApproachCase StudiesSyntax and StructureData TypesSets and BytesDeclaring VariablesNaming ConventionsBasic operations with VariablesControl StructuresLoopsDictionariesFunctions and ModulesResourcesReferencesQuiz 1Functions ContinuedParametersReturn ValuesRecursionsTraversingGenerating PermutationsCombinationsImport StatementCase StudiesResourcesWebsites:Quiz 2Module 3Aspects of Good Software DevelopmentClasses and ObjectsInheritance and PolymorphismReusable codeMaintainable codeError HandlingFile Input/Output (I/O)Regular Expressions (regex)SQLite, MySQL, and PostgreSQLLists and TuplesSlicing and IndexingEncapsulations and AbstractionDecorators and GeneratorsReview Case StudiesResourcesWebsites:Books:Quiz 3Module 4CSV and JSONAPI and XMLSOAPRESTGET, POST, PUT, and DELETELambda FunctionsFlask and Django FrameworkORMWeb DevelopmentHTML, CSS and JavaScriptBuilding Web ApplicationsDatabase ManagementFinal ExamProject: Building a To-Do List ApplicationResourcesBooksReferencesResearch StudiesGlossary of Terms
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