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Introduction 0/10
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Overview of PythonLecture1.1
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Companies using PythonLecture1.2
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Other applications in which Python is usedLecture1.3
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Discuss Python Scripts on UNIX/WindowsLecture1.4
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Values, Types, VariablesLecture1.5
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Operands and ExpressionsLecture1.6
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Conditional StatementsLecture1.7
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LoopsLecture1.8
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Command Line ArgumentsLecture1.9
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Writing to the screenLecture1.10
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Squences and File Operation 0/7
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Python files I/O FunctionsLecture2.1
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NumbersLecture2.2
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Strings and related operationsLecture2.3
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Tuples and related operationsLecture2.4
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Lists and related operationsLecture2.5
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Dictionaries and related operationsLecture2.6
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Sets and related operationsLecture2.7
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Deep Dive - Functions, OOPs, Modules, Errors & Exceptions 0/13
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FunctionsLecture3.1
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Function ParametersLecture3.2
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Global variablesLecture3.3
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Variable scope and Returning ValuesLecture3.4
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Lambda FunctionsLecture3.5
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Object Oriented ConceptsLecture3.6
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Standard LibrariesLecture3.7
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Modules Used in PythonLecture3.8
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The Import statementsLecture3.9
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Module search pathLecture3.10
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Package installation waysLecture3.11
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Errors and Exception HandlingLecture3.12
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Handling multiple exceptionsLecture3.13
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Introduction to NumPy & Pandas 0/6
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NumPy – arraysLecture4.1
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Operations on arraysLecture4.2
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Indexing slicing and iteratingLecture4.3
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Reading and writing arrays on filesLecture4.4
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Pandas – data structures & index operationsLecture4.5
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Reading and Writing data from Excel/CSV formats into PandasLecture4.6
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Data Vizualisation 0/5
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matplotlib libraryLecture5.1
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Grids, axes, plotsLecture5.2
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Markers, colours, fonts and stylingLecture5.3
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Types of plots – bar graphs, pie charts, histogramsLecture5.4
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Contour plotsLecture5.5
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Data Manipulation 0/6
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Basic Functionalities of a data objectLecture6.1
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Merging of Data objectsLecture6.2
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Concatenation of data objectsLecture6.3
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Types of Joins on data objectsLecture6.4
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Exploring a DatasetLecture6.5
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Analyzing a datasetLecture6.6
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