Programming In Python

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Course Content:

• Basic Python
  • Overview
  • Environment
  • Basic Syntax
  • Variable Types
  • Basic Operators
  • Decision Making
  • Loops
  • Numbers
  • Strings
  • Lists
  • Tuples
  • Dictionary
  • Date & Time
  • Functions
  • Files I/O
  • Exceptions
  • Classes & Objects
  • Database Access
  • GUI Programming

• Advanced Python:
  • Installation with numpy
  • Panda Basics
  • Object Creation
  • Viewing Data
  • Selection
  • Getting
  • Selection by Label & Position/li>
  • Boolean Indexing
  • Setting
  • Missing Data
  • Operations
  • Stats
  • Apply
  • Histogramming
  • String Methods
  • Merge, Concat, Join, Append, Grouping
  • Reshaping
  • Stack
  • Pivot Tables
  • Time Series
  • Categoricals
  • Plotting
  • Data Analysis with panda
  • Import Data from SQL
  • Import data from excel sheet
  • Sensors
  • Time
  • Aggregate functions(row wise/column wise)
  • Export data to Excel/webpage(html)/csv/clipboard(Ctr+v to anydoc)
  • Plot analysed data and save data in Image format
  • MultiIndexing
  • Indexing and Selecting Data
  • MultiIndex / Advanced Indexing
  • Computational tools
  • Working with missing data
  • Group By: split-apply-combine
  • Merge, join, and concatenate
  • Reshaping and Pivot Tables
  • Reshaping by pivoting DataFrame objects
  • Reshaping by stacking and unstacking
  • Multiple Levels
  • Missing Data
  • With a MultiIndex
  • Reshaping by Melt
  • Combining with stats and GroupBy
  • Adding margins
  • Cross tabulations
  • Normalization
  • Tiling
  • Computing indicator / dummy variables
  • Factorizing values
  • Time Series / Date functionality
  • Time Deltas