Programming In Python

by NICT Computer Claim Listing

Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks.

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img Duration

1 Month

Course Details

Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks.

 

Course Advantages:

  • FISDI Certificate
  • Python enhances your employability and opens up numerous job opportunities with competitive salaries.
  • Latest Syllabus and Advanced Lab Facility

 

Course Features:

  • Python is an interpreted, general-purpose, and high-level programming language
  • Python programming is transforming the worldwide job market because its advantages are obvious.

The demand for Python programmers is rising in tandem with the new machine learning applications that emerge every day.

 

What You'll Cover In This Course:

  • Introduction to Python Programming Language
  • Topic
  • History
  • Features
  • Installing Python
  • Running Python Program
  • Debugging
  • Formal and Natural Languages
  • The Difference Between Brackets, Braces, and Parentheses
  • Variables and Expression
  • Topic
  • Values and Types
  • Variables
  • Variable Names and Keywords
  • Type Conversion
  • Implicit Type Conversion
  • Explicit Type Conversion
  • Operators and Operands
  • Expressions
  • Interactive Mode and Script Mode
  • Order of Operations
  • Conditional Statements, Looping, Control Statements
  • Topic
  • if statement
  • if-else
  • if...elif...else
  • nested if –else
  • Looping Statements:
  • Topic
  • for loop
  • while loop
  • nested loops
  • Control statements:
  • Topic
  • Terminating loops
  • Skipping specific conditions
  • Functions
  • Topic
  • Introduction
  • Function Calls
  • Type Conversion Functions
  • Math Functions
  • Adding New Functions
  • Definitions and Uses
  • Flow of Execution
  • Parameters and Arguments
  • Varables and Parameters Are Local
  • Fruitful Functions and Void Functions
  • Importing with from, Return Values, Incremental Development
  • Boolean Functions
  • Recursion
  • Strings
  • Topic
  • A String is a Sequence
  • Traversal with a for Loop
  • String Slices
  • Strings Are Immutable
  • Searching
  • Looping and Counting
  • String Methods
  • The in Operator
  • String Comparison
  • String Operations
  • Kottayam Branch

    3Rd Floor, Triveni Complex, Tourist Banglow Rd, Kottayam

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