Udemy - Python Using Project Idx - Part 1

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Free Download Udemy - Python Using Project Idx - Part 1
Last updated 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 582.76 MB | Duration: 1h 32m
Python using Project IDX - Part 1

What you'll learn
Python
Data structure
Datatypes
Array
String
Requirements
Beginners friendly in 2024
Description
In the course "Python using IDX Project - Part 1 ," you will explore the fundamentals of Python (.py) and Jupyter Notebook (.ipynb) within Project IDX, an innovative online IDE tailored for developers in 2024. This course is designed for beginners, focusing on practical applications rather than theoretical concepts, ensuring that you gain hands-on experience right from the start. Throughout the course, I will guide you through essential Python programming techniques and Jupyter Notebook functionalities, alongside some surprise topics to enhance your learning experience. By adopting a "more practical and less theory" approach, you will engage in real coding tasks that solidify your understanding of Python and its applications in data science and web development.Project IDX provides a robust platform for coding, allowing you to leverage its AI-assisted features to streamline your development process. You can expect to build projects that not only enhance your coding skills but also prepare you for real-world applications in various industries.For additional resources and insights, feel free to check out my YouTube channel, "ABAnuSara Vlog," where I share more tutorials and tips related to Python and Jupyter Notebook. Join me on this exciting journey into the world of programming, where you will gain valuable skills that are highly sought after in today's job market!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Login with Project IDX
Lecture 3 Creating a python workspace in Project IDX
Lecture 4 Deleting a python workspace in Project IDX
Lecture 5 Creating environment variable
Lecture 6 Learning Basic Programming Principles (Syntax only) Material
Section 2: Simple python in Project IDX
Lecture 7 Simple Python
Lecture 8 Simple Python preview
Lecture 9 Anaconda Cloud IDE. Why?
Lecture 10 Anaconda Cloud preview
Section 3: Conditions
Lecture 11 Conditions
Lecture 12 Conditions if - else preview
Lecture 13 Conditions if-elif preview
Lecture 14 Switch, nested if and Ternary
Section 4: Loops
Lecture 15 Loop
Lecture 16 Loop preview
Section 5: Data Structure - Array
Lecture 17 Data Strcture
Lecture 18 Array
Lecture 19 Array preview
Section 6: String
Lecture 20 String
Lecture 21 Types
Lecture 22 String preview
Section 7: Lists, Tuples, Sets and Dictionary
Lecture 23 Lists
Lecture 24 List types
Lecture 25 Lists preview
Lecture 26 Tuples
Lecture 27 Types of Tuples
Lecture 28 Tuples preview
Lecture 29 Dictionary
Lecture 30 Dictionary preview
Lecture 31 Sets
Lecture 32 Sets preview
Section 8: Text-Based Adventure Game
Lecture 33 Text-Based Adventure Game - Project Part 1
Lecture 34 Text-based Adventure Game preview
Lecture 35 Uploading the files to Github using Git
Lecture 36 Thank you.
Learners
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Python Using Project Idx - Part 1
Last updated 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 582.76 MB | Duration: 1h 32m​

Python using Project IDX - Part 1

What you'll learn

Python

Data structure

Datatypes

Array

String

Requirements

Beginners friendly in 2024

Description

In the course "Python using IDX Project - Part 1 ," you will explore the fundamentals of Python (.py) and Jupyter Notebook (.ipynb) within Project IDX, an innovative online IDE tailored for developers in 2024. This course is designed for beginners, focusing on practical applications rather than theoretical concepts, ensuring that you gain hands-on experience right from the start. Throughout the course, I will guide you through essential Python programming techniques and Jupyter Notebook functionalities, alongside some surprise topics to enhance your learning experience. By adopting a "more practical and less theory" approach, you will engage in real coding tasks that solidify your understanding of Python and its applications in data science and web development.Project IDX provides a robust platform for coding, allowing you to leverage its AI-assisted features to streamline your development process. You can expect to build projects that not only enhance your coding skills but also prepare you for real-world applications in various industries.For additional resources and insights, feel free to check out my YouTube channel, "ABAnuSara Vlog," where I share more tutorials and tips related to Python and Jupyter Notebook. Join me on this exciting journey into the world of programming, where you will gain valuable skills that are highly sought after in today's job market!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Login with Project IDX

Lecture 3 Creating a python workspace in Project IDX

Lecture 4 Deleting a python workspace in Project IDX

Lecture 5 Creating environment variable

Lecture 6 Learning Basic Programming Principles (Syntax only) Material

Section 2: Simple python in Project IDX

Lecture 7 Simple Python

Lecture 8 Simple Python preview

Lecture 9 Anaconda Cloud IDE. Why?

Lecture 10 Anaconda Cloud preview

Section 3: Conditions

Lecture 11 Conditions

Lecture 12 Conditions if - else preview

Lecture 13 Conditions if-elif preview

Lecture 14 Switch, nested if and Ternary

Section 4: Loops

Lecture 15 Loop

Lecture 16 Loop preview

Section 5: Data Structure - Array

Lecture 17 Data Strcture

Lecture 18 Array

Lecture 19 Array preview

Section 6: String

Lecture 20 String

Lecture 21 Types

Lecture 22 String preview

Section 7: Lists, Tuples, Sets and Dictionary

Lecture 23 Lists

Lecture 24 List types

Lecture 25 Lists preview

Lecture 26 Tuples

Lecture 27 Types of Tuples

Lecture 28 Tuples preview

Lecture 29 Dictionary

Lecture 30 Dictionary preview

Lecture 31 Sets

Lecture 32 Sets preview

Section 8: Text-Based Adventure Game

Lecture 33 Text-Based Adventure Game - Project Part 1

Lecture 34 Text-based Adventure Game preview

Lecture 35 Uploading the files to Github using Git

Lecture 36 Thank you.

Learners

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