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Python programming basics and its foundations

  • Development
  • Feb 01, 2025
SynopsisPython programming basics and its foundations, available at $...
Python programming basics and its foundations  No.1

Python programming basics and its foundations, available at $19.99, with 88 lectures.

You will learn about This course will help you if you are a beginner to Python Programming It help you get your basics of Python programming right, starting from data types, containers, iterators, generators. Object oriented programming, types of inheritance, Exceptions, Custom Exceptions, modules, packages. in dept modules coverage, compression and decompression techniques This course is ideal for individuals who are Beginners It is particularly useful for Beginners.

Enroll now: Python programming basics and its foundations

Summary

Title: Python programming basics and its foundations

Price: $19.99

Number of Lectures: 88

Number of Published Lectures: 88

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 88

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

  • This course will help you if you are a beginner to Python Programming
  • It help you get your basics of Python programming right, starting from data types, containers, iterators, generators.
  • Object oriented programming, types of inheritance, Exceptions, Custom Exceptions, modules, packages.
  • in dept modules coverage, compression and decompression techniques
  • Who Should Attend

  • Beginners
  • Target Audiences

  • Beginners
  • Python is one of the highly loved and most popular programming language. It is very easy to write Python code and softwares. From debugging to reading others code and understanding codes on Open Source portals. This course will take you through a venture with in and out Python. It will cover all the basic aspects to get you in Python. I have covered everything in detail. This course is especially for all levels as I have covered topics for beginners, intermediate and advanced. There is trade offs for each programming language, Python being easy to write and understand, its not fast enough compared to its counter programming languages. However, it is heavily used in Artificial Intelligence and Machine Learning, Internet of Things, Automation, Network Security, Networking, Data Science, Big Data, Backend Website processing and development, Software Testing and much more. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. There are lots of modules in Python which you will have fun learning it. The built-in module, system level modules, packages and much more. Python is a interpreted language, it does not transform code to become computer-readable.

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction – data types

    Lecture 2: Introduction – tokens

    Lecture 3: Introduction – containers

    Lecture 4: Introduction – numbers

    Chapter 2: Arithmetic Operations

    Lecture 1: Arithmetic Operations

    Chapter 3: If Else Statements

    Lecture 1: If Else Statements

    Chapter 4: loops

    Lecture 1: while loops

    Lecture 2: for loops

    Chapter 5: Functions

    Lecture 1: Functions working

    Lecture 2: functions multiple args

    Lecture 3: Factory function

    Chapter 6: Containers working

    Lecture 1: Tuples and lists

    Lecture 2: slicing

    Lecture 3: Strings

    Lecture 4: dictionaries

    Lecture 5: Sets and Frozen Sets

    Lecture 6: Iterators

    Lecture 7: Generators

    Lecture 8: Generator Expressions

    Lecture 9: Dictionary comprehension

    Lecture 10: List Comprehension

    Lecture 11: Set Comprehension

    Chapter 7: Function tools

    Lecture 1: lambda

    Lecture 2: filter

    Lecture 3: map

    Lecture 4: reduce

    Chapter 8: Classes and Objects

    Lecture 1: Class

    Lecture 2: Instance

    Lecture 3: Classes and Objects example 1

    Lecture 4: Classes and Objects example 2

    Lecture 5: Constructor

    Lecture 6: Constructor example 1

    Lecture 7: Methods

    Lecture 8: Private Variables of a class

    Lecture 9: Class Method

    Lecture 10: Static Method

    Lecture 11: Class Property example 1

    Lecture 12: Class Property example 2

    Chapter 9: Exceptions

    Lecture 1: Try Except clause

    Lecture 2: Exception Hierarchy in Python

    Lecture 3: Exception finally else clause

    Lecture 4: Custom Exceptions

    Lecture 5: Possible Exceptions example 1

    Lecture 6: Possible Exceptions example 2

    Lecture 7: Raise keyword

    Chapter 10: Input and Output

    Lecture 1: Input and Output

    Chapter 11: Inheritance

    Lecture 1: Single Inheritance

    Lecture 2: Single Inheritance example 1

    Lecture 3: Multilevel Inheritance

    Lecture 4: Multilevel Inheritance example 1

    Lecture 5: Hierarchical Inheritance

    Lecture 6: Hierarchical Inheritance Example 1

    Lecture 7: Multiple Inheritance

    Lecture 8: Multiple Inheritance 2

    Lecture 9: Multiple Inheritance example 1

    Lecture 10: Hybrid Inheritance

    Lecture 11: Hybrid Inheritance Example 1

    Chapter 12: Operator Overloading

    Lecture 1: Operator Overloading part 1

    Lecture 2: Operator Overloading part 2

    Chapter 13: files

    Lecture 1: file modes

    Lecture 2: text files

    Lecture 3: binary files part 1

    Lecture 4: Binary files part 2

    Lecture 5: file newlines

    Lecture 6: file methods part 1

    Lecture 7: file methods part 2

    Chapter 14: Global keyword, nested functions and return keyword

    Lecture 1: working of global variables, nested functions and return

    Chapter 15: Compression and Decompression Techniques

    Lecture 1: Gzip

    Lecture 2: Gzip part 2

    Lecture 3: bz2

    Lecture 4: zipfile part 1

    Lecture 5: zipfile part 2

    Chapter 16: Working with Multiple files

    Lecture 1: Multiple files

    Lecture 2: Multiple files part 2

    Chapter 17: Recursion

    Lecture 1: working of Recursion

    Chapter 18: Modules

    Lecture 1: Working of Modules basics

    Lecture 2: Modules Example 1

    Lecture 3: Module Loading

    Lecture 4: Module Private Variables

    Lecture 5: Ways to import a module

    Chapter 19: Packages

    Lecture 1: package working part 1

    Instructors

  • Python programming basics and its foundations  No.2
    Kaustubh Nagwekar
    Programming Instructor
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  • Frequently Asked Questions

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