Course Type : Online
Duration : 12 hrs
Course Fee : Rs6600
No Coding Background Needed
Call : Gagan Khanna
Appreciate the use of Graphical User interface and Integrated Development Environment for creating Python programs.
Work in interactive & Script mode for programming.
Create and assign values to variables.
Understand the concept and usage of different data types in python.
Appreciate the importance and usage of different types of operator (arithmetic, Relation and logical)
Create Python expression(s) and statement(s).
Condiotional & Iteration Loops
Learn how Python inputs strings
Understand how Python stores and uses strings
Perform slicing operations on strings
Traverse strings with a loop
Compare strings and substrings
Understand the concept of immutable strings
Understanding string functions.
Understanding string constants
Understand the concept of mutable sequence types in Python.
Appreciate the use of list to conveniently store a large amount of data in memory.
Create, access & manipulate list objects
Use various functions & methods to work with list
Appreciate the use of index for accessing an element from a sequence.
Understand the need of dictionaries;
Solve problems by using dictionaries;
Get clear idea about dictionaries functions; and
Understand the difference between list and dictionary.
Understand the need of Tuples;
Solve problems by using Tuples;
Get clear idea about Tuple functions; and
Understand the difference between list, dictionary and tuples.
Understand the need of JSON Data;
Solve problems by using JSON Data;
Get clear idea about JSON Data functions; and
Understand the use of list, dictionary in JSON Data.
Understand the need of Array
Understand Indexing and Slicing of Array
Understand Various Operations on Arrays
Statistical Operations on Arrays
Loading Arrays from Files
Saving NumPy Arrays in Files on Disk
Importing and Exporting Data (Full/Selective) between CSV Files and DataFrames
Manipulation of DataFrames
Sorting of DataFrames
Add or Remove Columns of DataFrame
Altering the values of columns
Add or Delete Row From DataFrame
Show Selective Columns from DataFrame
Statiscal Operations on DataFrame