DATA ANALYSIS WITH PYTHON

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DATA ANALYSIS WITH PYTHON

UNIT-I: Introduction to Python: Keywords and Identifiers, Statements and Comments, Input-Output and Import, Operators, Python namespace, Data types - Numbers, Strings, Lists, Tuples, Set, Dictionaries, Arrays, Matrix, Flow Control: If – else, for loop, while loop, break and continue, Pass statement, Looping technique

UNIT–II: Functions and OOP Concepts: Defining and calling a function, Types of Function, Recursion, Python Modules, Packages, OOP Concepts: OOP concepts in Python – Class, Inheritance, Multiple Inheritance, Operator Overloading

 UNIT–III: IPython, NumPy and Pandas: IPython Basics, code development in IPython, IPython features, NumPy Basics, NumPyArrays, Vectorized Computation, Indexing and sorting arrays, Structured arrays, Pandas Basics, Pandas data structures, Descriptive statistics, Handling missing data, Hierarchical Indexing, Vectorized string operations, working with time series

UNIT-Iv: Working with Data: Reading and writing data in text format, binary data formats, interacting with web, interacting with database, Combining and merging data sets, Reshaping and Pivoting, Data
Transformation, Data Aggregation, Pivot tables and Cross Tabulation

UNIT–V: Data Visualisation: Introduction to Matplotlib, line plots, scatter plots, visualizing errors, Density and contour plots, Histograms and Binnings, Text and Annotation, Three dimensional plotting in Matplotlib