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Core Python 170+ Case Studies For Beginners

  • Development
  • Mar 09, 2025
SynopsisCore Python 170+ Case Studies For Beginners, available at $64...
Core Python 170+ Case Studies For Beginners  No.1

Core Python 170+ Case Studies For Beginners, available at $64.99, has an average rating of 4.67, with 156 lectures, based on 3 reviews, and has 15 subscribers.

You will learn about ? Understand and implement basic Python Code ? Be able to program in Python professionally ? Use Colab to write their Python programs ? Develop your logical thinking skills ? You will learn problem solving skills ? Build your own Python Projects ? Acquire core Python skills for smooth transition into Data Science, Machine Learning ? Go from a total beginner to a confident Python programmer This course is ideal for individuals who are ? Anyone who wants to learn Python programming who have no prior programming experience or ? Newer Python programmers who need a refresher on Python or ? Students who want a supplementary learning resource or ? Beginners with no previous programming experience looking to obtain the skills to get their first programming job. or ? Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence. It is particularly useful for ? Anyone who wants to learn Python programming who have no prior programming experience or ? Newer Python programmers who need a refresher on Python or ? Students who want a supplementary learning resource or ? Beginners with no previous programming experience looking to obtain the skills to get their first programming job. or ? Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.

Enroll now: Core Python 170+ Case Studies For Beginners

Summary

Title: Core Python 170+ Case Studies For Beginners

Price: $64.99

Average Rating: 4.67

Number of Lectures: 156

Number of Published Lectures: 156

Number of Curriculum Items: 156

Number of Published Curriculum Objects: 156

Original Price: ?1,199

Quality Status: approved

Status: Live

What You Will Learn

  • ? Understand and implement basic Python Code
  • ? Be able to program in Python professionally
  • ? Use Colab to write their Python programs
  • ? Develop your logical thinking skills
  • ? You will learn problem solving skills
  • ? Build your own Python Projects
  • ? Acquire core Python skills for smooth transition into Data Science, Machine Learning
  • ? Go from a total beginner to a confident Python programmer
  • Who Should Attend

  • ? Anyone who wants to learn Python programming who have no prior programming experience
  • ? Newer Python programmers who need a refresher on Python
  • ? Students who want a supplementary learning resource
  • ? Beginners with no previous programming experience looking to obtain the skills to get their first programming job.
  • ? Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
  • Target Audiences

  • ? Anyone who wants to learn Python programming who have no prior programming experience
  • ? Newer Python programmers who need a refresher on Python
  • ? Students who want a supplementary learning resource
  • ? Beginners with no previous programming experience looking to obtain the skills to get their first programming job.
  • ? Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
  • The course starts with the basics, including Python fundamentals, programming, and user interaction. The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals as Python is a modern programming language which used in many tech sectors like web, data science machine learning, Artificial Intelligence, Computer Vision, NLP, Game Development, etc.

    This course is highly practical but it won’t neglect the theory, we’ll start with basics of python programming and installing the needed software. Then we’ll dive and start programming straight away. You’ll learn everything by example, by writing useful python programs, no boring dry programming lectures.

    The topics covered in this course are:

    · Operators Types in Python.

    · Variables in Python.

    · Number in Python.

    · Python Data Types.

    . Arrays in Python.

    · String Functions in Python.

    · How to use Input & Output Statements in Python.

    · How to create Lists & lists operations in Python.

    · How to create Dictionaries & Dictionaries operations in Python.

    · How to create Tuples & Tuples operations in Python.

    · How to create Sets & Sets operations in Python.

    · Conditional Statements in Python.

    · Looping Statements in Python

    · File handling in Python

    · NumPy Arrays

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction To Python

    Lecture 2: Features Of Python

    Lecture 3: Installing Python For Windows

    Lecture 4: Installation Of Pandas

    Lecture 5: Installation Of Anaconda Python

    Lecture 6: Installation Of Google Colab

    Lecture 7: Executing A Python Program

    Lecture 8: Comments In Python

    Chapter 2: Data Types In Python

    Lecture 1: Numeric Data Types

    Lecture 2: String Data Type

    Lecture 3: Bool Data Type

    Lecture 4: List Data Type

    Lecture 5: Tuple Data Type

    Lecture 6: Set Data Type

    Lecture 7: Frozenset Data Type

    Lecture 8: Bytes Data Type

    Lecture 9: Byte Array Data Type

    Lecture 10: Dictionary Data Type

    Chapter 3: Operators In Python

    Lecture 1: Arithmetic Operators In Python

    Lecture 2: Assignment Operators In Python

    Lecture 3: Comparison Operators In Python

    Lecture 4: Logical Operators In Python

    Lecture 5: Bitwise Operators In Python

    Lecture 6: Identity Membership Operators In Python

    Chapter 4: Input and Output Statements

    Lecture 1: A python program to accept a string from keyboard and display it.

    Lecture 2: A python program to accept a character from Keyboard

    Lecture 3: A Python Program To Accept An Integer Number From Keyboard

    Lecture 4: A Python Program to accept an Integer number from Keyboard : Method 2

    Lecture 5: A Python Program to accept a float number from Keyboard

    Lecture 6: A Python Program to accept two numbers and find their sum.

    Lecture 7: A Python Program to display two numbers with comma separator.

    Lecture 8: A Python Program to Convert numbers from Hexadecimal, Octal, Binary into Decimal

    Lecture 9: A Python Program to accept 3 Integers in the same line and display their sum

    Lecture 10: A Python Program to accept a group of strings separated by commas and display

    Lecture 11: A Python Program to Evaluate an expression

    Lecture 12: A Python Program to Accept a List and Display it

    Lecture 13: A Python Program To Accept A Tuple And Display

    Lecture 14: A Python Program To Display Command Line Arguments

    Lecture 15: A Python Program To Find The Sum Of Even Numbers Using Command Line Arguments

    Lecture 16: A Python Program Using Argument Parser To Find The Square Of A Given Number

    Chapter 5: Control Statements In Python

    Lecture 1: A Python Program to Express a Digit in a Word

    Lecture 2: A Python Program To Display Multiple Statements When The Condition Is True

    Lecture 3: A Python Program To Test Whether A Number Is Even Or Odd

    Lecture 4: A Python Program To Accept A Number From The Keyboard And Test Whether It Is Eve

    Lecture 5: A Python Program To Test Whether A Given Number Is In Between 1 And 100

    Lecture 6: A Python Program To Know If A Given Number Is Zero, Positive Or Negative

    Lecture 7: A Python Program To Accept A Numeric Digit From Keyboard And Display In Words

    Lecture 8: A Python Program To Display Numbers From 1 To 20 Using While Loop

    Lecture 9: A Python Program To Display Even Numbers From M And N

    Lecture 10: A Python Program To Display Characters Of A String Using For Loop

    Lecture 11: A Python Program To Display Each Character From A String Using Sequence Index

    Lecture 12: A Python Program To Display Odd Numbers Between 1 And 10

    Lecture 13: A Python Program To Display Numbers From 10 To 1 Descending Order

    Lecture 14: A Python Program To Display The Element Of List Using For Loop

    Lecture 15: A Python Program To Display and Find The Sum Of List of Numbers Using For Loop

    Lecture 16: A Python To Display And Sum Of A List Of Numbers Using While Loop

    Lecture 17: A Python Program That Displays Stars In Right Angled Triangular Form Using Neste

    Lecture 18: A Python Program That Displays Stats In Right Angled Triangular From Using A Sin

    Lecture 19: A Python Program To Display The Stars In An Equilateral Triangular Form Using Fo

    Lecture 20: A Python Program To Search for an Element In List of Elements.

    Lecture 21: A Python Program To Display Numbers From 10 To 6 And Break The Loop When The Num

    Lecture 22: A Python Program To Display Numbers From 1 To 5 Using Continue Statement

    Lecture 23: An Example Program On Pass Statement

    Lecture 24: A Python Program To Retrieve Only Negative Number From A List Of Numbers

    Lecture 25: A Program To Assert That The User Enters A Number Is Greater Than Zero

    Lecture 26: A Python Program To Handle The Assertion error Exception That Is Given By Assert

    Lecture 27: A Python Program to Display Prime Numbers Up to The Given No

    Chapter 6: Arrays In Python

    Lecture 1: A Python Program To Create An Integer Type Array

    Lecture 2: A Python Program to Create an array with a group of characters

    Lecture 3: A Python Program to Create one array from another array

    Lecture 4: A Python Program to retrieve the elements of an array using array index

    Lecture 5: A Python Program to retrieve the elements of an array using while loop

    Lecture 6: A Python Program that helps to know the effects of slicing operations array

    Lecture 7: A Python Program to understand various methods of arrays class

    Lecture 8: A Python Program to store students marks into an array and find total & average

    Lecture 9: A Python Program to sort the array elements using bubble sort technique

    Lecture 10: Program to search for the position of an element in array using sequential searc

    Lecture 11: A Python Program to create a simple array using Numpy

    Lecture 12: A Python Program to Create a character type array with a group of characters.

    Lecture 13: A Python Program to Create an array from another array.

    Lecture 14: A Python Program to create an array with 5 equal points using linespace()

    Lecture 15: A Python Program to create an array using logspace()

    Lecture 16: Creating Arrays using arrange() Function

    Lecture 17: A Python Program to Create arrays using zeros() and ones()

    Lecture 18: Mathematical Operations on Arrays

    Lecture 19: A Python Program to Compare two arrays and display the resultant Boolean type ar

    Lecture 20: A Python Program to know the effects of any() and all() functions

    Lecture 21: A Python Program to alias an array and understand the affect of aliasing

    Lecture 22: A Python Program to Create a View of an existing array.

    Lecture 23: A Python Program to Copy an array as another array

    Lecture 24: Dimensions of Arrays (1D and 2D)

    Lecture 25: Attributes of an Array – 1

    Lecture 26: Attributes of an Array – 2

    Lecture 27: Indexing in Multi-dimensional Arrays

    Instructors

  • Core Python 170+ Case Studies For Beginners  No.2
    Dr. E.V.Reddy .
    Become an Expert in Python
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