HOT

Python 2023 Course in Depth: Beginners to Advanced

Development

Python 2023 Course in Depth: Beginners to Advanced, available at $54.99, has an average rating of 4.1, with 117 lectures, based on 28 reviews, and has 234 subscribers.

Rating4.1
Enroll Now

You will learn about Understand the basic syntax and concepts of the Python programming language. Be able to write simple Python programs to solve problems. Be able to use Python to manipulate and analyze data. Be able to use Python to work with libraries and frameworks for web development, data analysis, or other applications. This course is ideal for individuals who are This course is ideal for individuals who aim to become proficient in Python 3. or This course is suitable for individuals looking to gain an introduction to coding and learning Python 3. or This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language. or This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields. It is particularly useful for This course is ideal for individuals who aim to become proficient in Python 3. or This course is suitable for individuals looking to gain an introduction to coding and learning Python 3. or This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language. or This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields.

Enroll now: Python 2023 Course in Depth: Beginners to Advanced

Summary

Title: Python 2023 Course in Depth: Beginners to Advanced

Price: $54.99

Average Rating: 4.1

Number of Lectures: 117

Number of Published Lectures: 117

Number of Curriculum Items: 117

Number of Published Curriculum Objects: 117

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the basic syntax and concepts of the Python programming language.
  • Be able to write simple Python programs to solve problems.
  • Be able to use Python to manipulate and analyze data.
  • Be able to use Python to work with libraries and frameworks for web development, data analysis, or other applications.

Who Should Attend

  • This course is ideal for individuals who aim to become proficient in Python 3.
  • This course is suitable for individuals looking to gain an introduction to coding and learning Python 3.
  • This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language.
  • This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields.

Target Audiences

  • This course is ideal for individuals who aim to become proficient in Python 3.
  • This course is suitable for individuals looking to gain an introduction to coding and learning Python 3.
  • This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language.
  • This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields.

Welcome to ‘Python 2023: From Zero to Hero’. In this course, you will learn the foundations of programming with Python, a powerful and easy-to-learn programming language.

Through a series of video lectures, quizzes, and hands-on projects, you will gain a solid understanding of Python’s syntax and concepts, and be able to write your own programs to solve problems and manipulate data. You will learn about variables, loops, functions, data types, modules, and much more. We will also use popular libraries and frameworks such as NumPy, Pandas, and Flask to build web applications and analyze data.

This course is suitable for complete beginners with no prior programming experience, as well as for those who want to expand their knowledge of Python. We will start with the basics and gradually work our way up to more advanced topics.

By the end of this course, you will be able to confidently use Python to build your own websites and web applications, analyze and visualize data, and even build your own artificial intelligence models.

This course is taught by Prassana Kumar, a qualified software engineer with years of experience in Python development. He is a patient and engaging instructor, and is dedicated to helping you succeed in your programming journey.

The course consists of 80 lectures and 15+ hours of video content, and is designed to be completed over a period of 8 weeks. You will have access to all course materials, including code examples, exercises, and supplementary readings, and will be able to ask questions and interact with the instructor and other students through a private course forum. There will be 10 assessments throughout the course to evaluate your progress and understanding.

To complete this course, you will need a computer with Python installed. It is recommended, but not required, that you have some basic familiarity with computer concepts such as files and directories.

Don’t wait any longer to start learning Python – join this comprehensive course today and unlock the full potential of this versatile and powerful programming language!

Course Curriculum

Chapter 1: Preview

Lecture 1: Course Preview Video

Chapter 2: Language Fundamentals

Lecture 1: Features of Python

Lecture 2: Identifiers

Lecture 3: Keywords

Lecture 4: Data Types Overview

Lecture 5: Int Datatype

Lecture 6: Float Datatype

Lecture 7: Complex

Lecture 8: Boolean Datatype

Lecture 9: String Datatype

Lecture 10: List & Tuple Datatype

Lecture 11: Bytes

Lecture 12: None

Lecture 13: Frozen Set

Lecture 14: Range

Lecture 15: Dictonary

Chapter 3: Python Operators

Lecture 1: Arithematic Operators

Lecture 2: Relational Operators

Lecture 3: Equality Operators

Lecture 4: Logical Operators

Lecture 5: Bitwise Operators

Lecture 6: Assignments Operators

Lecture 7: Ternary Operators

Lecture 8: Special Operators

Chapter 4: Input Output

Lecture 1: Introduction

Lecture 2: Input

Lecture 3: Multiple Inputs

Lecture 4: Command Line Arguments

Lecture 5: Output Statement

Chapter 5: Control Flow

Lecture 1: Introduction

Lecture 2: IF Satement

Lecture 3: If-Else Satement

Lecture 4: If-Elif-Else Statement

Lecture 5: For Loop

Lecture 6: While Loop

Lecture 7: Infinite Loop

Lecture 8: Nested Loop

Lecture 9: Break

Lecture 10: Continue

Lecture 11: Pass

Chapter 6: String

Lecture 1: Introduction to Strings

Lecture 2: Index Slicing in String

Lecture 3: Mathematical Operations in String

Lecture 4: Printing Positive & Negative of a String

Lecture 5: Membership String

Lecture 6: Strip String

Lecture 7: Find Index of String

Lecture 8: Count String

Lecture 9: Replace String

Lecture 10: Split & Join String

Lecture 11: Chaning Cases of String

Lecture 12: Startswith & Endswith String

Lecture 13: Data Check in String

Lecture 14: String Formatting

Chapter 7: Lists

Lecture 1: List Properties

Lecture 2: Different Ways to Create List

Lecture 3: Accessing List

Lecture 4: List Mutability

Lecture 5: Traversing List

Lecture 6: len(), count(), index() in List

Lecture 7: Adding Elements in List

Lecture 8: Removing Elements from List

Lecture 9: Clear List

Lecture 10: Sort, Reverse List

Lecture 11: mathematical Operators in List

Lecture 12: Aliasing Cloning

Lecture 13: Membership List

Lecture 14: Nested Lists

Lecture 15: List Comprehensions

Chapter 8: Tuple

Lecture 1: Tuple Introduction

Lecture 2: Different Ways To Create Tuple

Lecture 3: Index, Slice – Tuple

Lecture 4: Mathematical Operators – Tuple

Lecture 5: Importatnt Functions On Tuple

Lecture 6: Packing & Unpacking – Tuple

Lecture 7: Tuple Comprehension

Lecture 8: Difference Between List & Tuple

Chapter 9: Set

Lecture 1: Set Introduction

Lecture 2: Creating Sets

Lecture 3: Adding Elements in Set

Lecture 4: Removing Elements from Set

Lecture 5: Copy Set

Lecture 6: Membership Set

Lecture 7: Mathematical Operators on Set

Lecture 8: Set Comprehension

Chapter 10: Dictonary

Lecture 1: Dictonary Introduction

Lecture 2: Add, Update & Delete in Dictonary

Lecture 3: Creating & Accessing Dictonary

Lecture 4: Dictonary Functions

Lecture 5: Dictonary Program

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 1 votes
  • 3 stars: 5 votes
  • 4 stars: 6 votes
  • 5 stars: 16 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Email Marketing. Increase Sales With Email Marketing!

TikTok Marketing Domination : Mastering Marketing Strategies

Video Email Marketing Made Easy