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Python Online Training

Python Online Training Demo Video

Python Online Training Course content

Introduction

  • Key words & Identifier
  • Statements,Quotations & comments
  • Python datatypes – simple and complex
  • Python I/O and Import
  • Python Operators
  • Operator precedence

Native Data types

  • Python numbers
  • Data type conversions
  • Python Lists
    • Assign values to list
    • Accessing values from list
    • List functions – compare, length, sequence, min, max, delete, append, count,
    • Index, remove, range, zip, sort
    • Limitations of lists ……
  • Python Tuples
    • Assign values to tuple
    • Accessing values from tuple
    • Difference between a list and tuple
    • Delete tuple elements
    • Tuple functions – compare, length, min, max, time…
  • Python String
    • Assign values to string
    • Accessing values from string
    • String special operators – slice, concatenate, repetition
    • String functions - count, find, rfind, lfind, upper, lower
    • Joins, seq
    • Is functions, strip functions
    • Replace …..
  • Python Set
    • OR
    • AND
  • Python dictionary
    • Assign values to dictionary
    • Accessing, updating & deleting values from dictionary
    • Dictionary properties
    • Dictionary functions – compare, length, clear, copy, get, has_key,
    • Keys, date and time ……

Flow control – Decision making

  • If
  • If else
  • Nested if
  • If …elif…else

Loops

  • For loop
  • While loop
  • Nested loops
  • Break and continue

Python Operators-

  • Arithmetic
  • Relational
  • Assignment
  • Logical
  • identity

Functions

  • Rules to define a function
  • Calling a function
  • Pass by reference
  • Function arguments
  • Random number functions
  • Mathematical functions
    • Abs, ceil, floor, math, compare, min, max
    • Round, sqrt, random,seed
  • Python modules
    • Import different modules
  • Python package
  • Function arguments

File handling

  • Python Files I/O
  • Exception handling
  • Open and close files
  • Reading and writing files
  • Renaming and deleting files

Object & class

  • Python class
    • Creating classes
    • Accessing attributes
  • Instances
  • Inheritence

Concepts of Numpy

  • Numpy Properties
  • Types of Arrays
  • Universal functions
  • Shape manipulation
  • Broad casting
  • Polynomials
  • Vectorize functions

Concepts of Scipy

  • Characterstics of scipy
  • Integration and multiple integration

Pandas

  • Characterstics of pandas
  • Import libraries
  • Read and write files
  • Create plots – Histogram, scatter, box plots
  • Generate frequency tables
  • Treat missing values and outliers

Databases

  • Connecting to data bases
  • Create a table, insert, execute
  • Commit and rollback

Visualizations

  • Bar chart
  • Stacked bar
  • Pie chart
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