python programming training course

Python Programming

For anyone looking to switch careers into the tech world through coding, Python is a great place to start.
It’s relatively easy to learn and incredibly versatile, and it’s used in a variety of fields, from data science and machine learning to Web design.

Course Overivew

  • Python developer roles are in high demand, as many major companies — including DropBox, Netflix, and Facebook — use it.
  • Learn Python Programming Course from Top Best Certified Instructors and Experienced Programmers, Through Hands-ON Project Based Training.
  • Python is for both small and complex tasks, and it is used across many different industries and applications in data science and software engineering, mobile app development, artificial intelligence, and machine learning.
  • This course introduces the basics of Python, including conditional execution and iteration as control structures, and strings and lists as data structures.
  • This course teaches you to fetch and process data using Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data.
  • The Python Programming course is well-suited for you if you have already taken the Python Basics and Functions, Files, and Dictionaries topics.
  • This Python course introduces the dictionary data structure and user-defined functions in Python.
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Course Benefits:

Python Programming Course Outline

Lecture 1: Python Overview

  • History of Python
  • Interpreter vs. Compiler
  • Python Identifiers & Reserved Words
  • Lines and Indentation
  • Multi-Line Statements
  • Quotation & Comments

Lecture 2: Variable Types

  • Python Variables
  • Python Numbers
  • Python Strings
  • Python Lists
  • Python Tuples
  • Python Dictionary
  • Python Set
  • Data Type Conversion

Lecture 3: Basic Operations

  • Arithmetic Operators
  • Comparison Operators
  • Bitwise Operators
  • Assignment Operators
  • Logical Operators
  • Membership Operators
  • Identity Operators
  • Operators Precedence

Lecture 4: Conditions

  • Decision making Definition
  • IF Statement
  • IF and ELSE Statements
  • IF, ELIF and ELSE Statements
  • Nested IF Statements
  • Single Statement Suites

Lecture 5: Loops

  • Loop Definition
  • While Loop Statements
  • Else with While Loop
  • For Loop Statements
  • Else with For Loop
  • Nested Loops
  • Loop Control Statements

Lecture 6: Functions

  • Function Definition
  • Calling a Function
  • Return Statement
  • Passing by Reference & Value
  • Function Arguments
  • Anonymous Function
  • Inner Functions
  • Global & Local Variables

Lecture 7: Strings

  • Introduction to String
  • Basic String Operations
  • String Special Operators
  • String Formatting Operator
  • Built-in String Functions

Lecture 8: Lists

  • Introduction to List
  • Basic List Operations
  • List Comprehension
  • Multi-dimensional Lists
  • Built-in List Functions

Lecture 9: Tuples

  • Introduction to Tuple
  • Basic Tuple Operations
  • Tuple Comprehension
  • Multi-dimensional Tuple
  • Built-in Tuple Functions

Lecture 10: Dictionaries

  • Introduction to Dictionary
  • Basic Dictionary Operations
  • Dictionary Comprehension
  • Properties of Dictionary keys
  • Built-in Dictionary Functions

Lecture 11: Sets

  • Introduction to Set
  • Basic Set Operations
  • Set Comprehension
  • Set Relations
  • Built-in Set Functions

Lecture 12: Numbers

  • Numbers in Python
  • Math Module
  • Fractions Module
  • Random Module
  • Itertools  Module

Lecture 13: Object Oriented Overview

  • Introduction to OOP
  • Classes & Objects
  • Attributes
  • Methods
  • Constructors
  • Destructors

Lecture 14: Data Encapsulation

  • Setters & Getters
  • Static Variables
  • Static Methods
  • Private Variables
  • Private Methods
  • Built-In Class Attributes

Lecture 15: Operator Overloading & Function Overloading

  • Operator Overloading
  • Input/Output Operators Overloading
  • Arithmetic Operators Overloading
  • Binary Operators Overloading
  • Assignment Operators Overloading
  • Function Overloading

Lecture 16: Inheritance & Function Overriding

  • Inheritance
  • Access Modifiers
  • Function Overriding
  • Multiple Inheritance
  • Composition Relationship
  • Aggregation Relationship

Lecture 17: Modules & Standard Libraries

  • Modules in Python
  • Counter Module
  • DefaultDict Module
  • DateTime Module
  • Timedelta Module
  • Calendar Module

Lecture 18: Polymorphism & Abstract Class

  • Abstract Class
  • Abstract Method
  • Abstract Properties
  • Polymorphism

Lecture 19: File Handling

  • Text files
  • CSV files
  • Json files
  • XML files
  • YAML files
  • INI files

Lecture 20: Exception Handling

  • Introduction to Exception Handling
  • Types of Exceptions in Python
  • The except Clause with No Exceptions
  • The except Clause with Multiple Exceptions
  • The try/except, else, and finally
  • Assertions in Python

Python Programming Course Objectives

  • You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions.
  • You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input.
  • You’ll read data from a file, and write out CSV files.
  • This course introduces classes, instances, and inheritance.
  • You will learn how to use classes to represent data in concise and natural ways.
  • You’ll also learn how to override built-in methods and how to create “inherited” classes that reuse functionality.
  • You’ll also learn about how to design classes.
  • Finally, you will be introduced to the good programming habit of writing automated tests for their own code.




This course is available at :

Classroom Training


Online Training

Virtual Interactive Instructor LED
Self-Paced Training



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