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[100% off] Python Certification Training (beginner to expert)

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[100% off] Python Certification Training (beginner to expert)

11 Oct , 2020  

World Teachers’ Day Sale. Online courses from $11.99

Description

Python Programming – course syllabus

Introduction to Python Programming

  • What is Python Programming?
  • History of Python Programming
  • Features of Python Programming
  • Why to learn Python Programming
  • Application of Python Programming

Setup of Python Programming

  • Getting Python
  • Installation of Python
  • Getting started with the first Python program
  • Running the first Python Program

Variables and Data Types

  • What is a variable?
  • Declaration of variable
  • Variable assignment
  • Data types in Python
  • Checking Data type
  • Data types Conversion
  • Python programs for Variables and Data Types

Python Identifiers, Keywords, Reading Input, Output Formatting

  • What is an Identifier?
  • Keywords
  • Reading Input
  • Taking multiple inputs from user
  • Output Formatting
  • Python end parameter

Operators in Python

  • Operators and types of operators

a) Arithmetic Operators

b) Relational Operators

c) Assignment Operators

d) Logical Operators

e) Membership Operators

f) Identity Operators

g) Bitwise Operators

  • Python programs for all types of operators

Decision Making

  • Introduction to Decision making
  • Types of decision-making statements
  • Introduction, syntax, flowchart and programs for

a) if statement

b) if…else statement

c) elif statement

Loops

  • Introduction to loops
  • Types of loops

a) for loop

b) while loop

c) infinite loop

d) nested loop

  • Break, continue and pass statement
  • Python programs for all types of loops

Numbers

  • Number Type Conversion
  • Random Number Functions
  • Trigonometric Functions
  • Mathematical Constants

Strings

  • Accessing Values in Strings
  • Updating Strings
  • String Special Operators
  • Built-in String Methods

Lists

  • Python Lists
  • Accessing Values in Lists
  • Updating Lists
  • Deleting List Elements
  • Basic List Operations
  • Built-in List Functions and Methods

Tuples

  • Accessing Values in Tuples
  • Updating Tuples
  • Deleting Tuple Elements
  • Basic Tuples Operations
  • Built-in Tuple Functions
  • Difference between list and tuple

Dictionary

  • Accessing Values in Dictionary
  • Updating Dictionary
  • Delete Dictionary Elements
  • Properties of Dictionary Keys
  • Built-in Dictionary Functions and Methods

Date and Time

  • What is Tick?
  • What is TimeTuple?
  • Getting Current Time
  • Getting Formatted Time
  • Getting Calendar for a Month

Functions

  • Defining a Function
  • Calling a Function
  • Passing by Reference versus Passing by Value
  • Ways to write function
  • Types of functions
  • Anonymous function
  • Recursive Function

Modules

  • What is a module?
  • Creating a module
  • The import Statement
  • The ‘from’ import Statement
  • Renaming a module
  • Using the dir() function
  • The ‘from’ import * Statement
  • Locating Modules

Files I/O

  • Printing to the Screen
  • Opening and Closing Files
  • The open Function
  • The file Object Attributes
  • The close() Method
  • Reading and Writing Files
  • The write() Method
  • The read() Method
  • More Operations on Files

Exceptions

  • What is Exception?
  • Handling an Exception
  • The except Clause with No Exceptions
  • The except Clause with Multiple Exceptions
  • The try-finally Clause
  • List of Standard Exception
  • Raising an Exception
  • Argument of an Exception

Classes and Objects

  • What is an Object?
  • What is a Class?
  • Creating a Class
  • Creating an object
  • Self in Python
  • __init__ method
  • Examples

Regular Expression

  • What is a Regular Expression?
  • Metacharacters
  • match() function
  • search() function
  • re.match() vs re.search()
  • findall() function
  • split() function
  • sub() function

GUI Programming

  • What is a GUI Programming?
  • Tkinter Programming
  • Tkinter Widgets
  • Building Your First Python GUI program with Tkinter

Who this course is for:

  • Python Developers and Software Engineers
  • Application Developers (Python, R)
  • Anyone wishing to learn Programming in Python
  • Python Developers – Web, JavaScript
  • Data Scientists and Lead Data Scientists
  • Data Engineers
  • Data Analytics Consultants
  • Data Consultants & Analysts
  • Technical Architects
  • Newbies and Beginners aspiring to make a career in Data Science, Machine Learning, Programming
  • Machine Learning Engineers & AI Engineers
  • Software Programmers
  • Python Engineers

Requirements

  • Enthusiasm and determination to make your mark on the world!

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