Learn Python On The Go

Published 12/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.90 GB | Duration: 11h 57m

Learn Python on the bus, coffee shop or anywhere directly from your mobile phone, online or offline. Don’t scroll, code!

What you’ll learn
Learn Python wherever you are directly from your Android or iPhone
Learn conveniently online or offline from your mobile
Learn Python whenever you have some free time during the day
Code the exercises directly on a provided mobile Python interpreter app

Requirements
No programming experience needed!
No computer needed!
You only need an Android phone or an iPhone.

Description
Course Description:Welcome to “Learn Python on The Go,” the revolutionary course designed to fit perfectly into your busy lifestyle. Whether you’re commuting, waiting in line, or just have a few minutes to spare, this course makes learning Python accessible, convenient, and engaging, right from your smartphone. This is the only Python course on Udemy that has mobile-optimized videos and programming exercises that can be coded directly on your Android or iPhone Python interpreter.Why This Course?Mobile-Friendly Learning: Tailored for learning on mobile devices, our course allows you to learn Python anywhere, anytime. The course material is optimized for smaller screens, ensuring a seamless learning experience.Immersive Learning: Embrace the power of immersive learning. Our method ensures that Python sticks with you long-term, turning your spare moments into productive learning sessions. Taking the course in small chunks during the day ensures immersion into the Python language.Interactive Content: Dive into Python with bite-sized videos, text summaries, and quizzes after each lesson, providing a rich and interactive learning experience.Practical Coding Experience: Get hands-on experience by coding in a mobile Integrated Development Environment (IDE). Code along with the lessons and build real programs.Offline Accessibility: No internet? No problem. The course is fully accessible offline, so you can learn Python and write code on your Android or iPhone without relying on an internet connection.For Beginners and Intermediates: Whether you’re new to Python or looking to solidify your skills, this course covers all fundamentals and concludes with a real-world project to consolidate your learning.Expert Instruction: Your instructor, Ardit, is a seasoned coding teacher and the author of the highly acclaimed “Python Mega Course” on Udemy, with over 300,000 students enrolled.Join Us Now!Ready to learn Python in a way that fits your lifestyle? All you need is your Android or iPhone. Tap the enroll button, and if you have five minutes, start your Python journey right now, right from your mobile phone.See you inside the course!

Overview
Section 1: How to Take the Course

Lecture 1 Course Introduction

Lecture 2 Installing the Tools on Your Mobile Phone

Lecture 3 How to Take the Course on Android

Lecture 4 How to Take the Course on iPhone

Section 2: Introduction to Python

Lecture 5 Simple Types

Lecture 6 Text Companion: Simple Types

Lecture 7 Complex Types

Lecture 8 Text Companion: Complex Types

Lecture 9 Variables

Lecture 10 Text Companion: Variables

Lecture 11 Methods

Lecture 12 Text Companion: Methods

Lecture 13 Mutable Vs. Immutable Types

Lecture 14 Text Companion: Mutable Vs. Immutable Types

Lecture 15 Functions

Lecture 16 Text Companion: Functions

Lecture 17 Errors

Lecture 18 Text Companion: Errors

Lecture 19 How to Find the Code You Need

Lecture 20 Text Companion: How to Find the Code You Need

Section 3: Strings in Depth

Lecture 21 Real-World Use Case of Strings

Lecture 22 Text Companion: Real-World Use Case of Strings

Lecture 23 Popular String Methods

Lecture 24 Text Companion: Popular String Methods

Lecture 25 String Slicing

Lecture 26 Text Companion: String Slicing

Lecture 27 Negative Slicing

Lecture 28 Text Companion: Negative Slicing

Lecture 29 Slicing Single Items

Lecture 30 Text Companion: Slicing Single Items

Lecture 31 String Formatting

Lecture 32 Text Companion: String Formatting

Section 4: Numbers and Math in Depth

Lecture 33 Real-world Use Case of Numbers

Lecture 34 Text Companion: Real-world Use Case of Numbers

Lecture 35 Math Operators

Lecture 36 Text Companion: Math Operatores

Lecture 37 Order of Operators

Lecture 38 Text Companion: Order of Operators

Lecture 39 Comparison Operators

Lecture 40 Text Companion: Comparison Operators

Lecture 41 Boolean Operators

Lecture 42 Text Companion: Boolean Operators

Lecture 43 Math Functions

Lecture 44 Text Companion: Math Functions

Section 5: Lists and Tuples in Depth

Lecture 45 Lists and Tuples and Review of an App

Lecture 46 Text Companion: Lists and Tuples and Review of an App

Lecture 47 Accessing, Removing, and Adding Items to Lists and Tuples

Lecture 48 Text Companion: Accessing, Removing, and Adding Items to Lists and Tuples

Lecture 49 List Methods and Tuple Methods

Lecture 50 Text Companion: List Methods and Tuple Methods

Section 6: Custom Functions

Lecture 51 Custom Functions

Lecture 52 Text Companion: Custom Functions

Lecture 53 Anatomy of a Function

Lecture 54 Text Companion: Anatomy of a Function

Lecture 55 Custom Functions with Multiple Arguments

Lecture 56 Text Companion: Custom Functions with Multiple Arguments

Lecture 57 Default Arguments

Lecture 58 Text Companion: Default Arguments

Lecture 59 Scope- Local and Global Variables

Lecture 60 Text Companion: Scope- Local and Global Variables

Section 7: Classes

Lecture 61 What is a Class

Lecture 62 Text Companion: What is a Class

Lecture 63 Creating a Class

Lecture 64 Text Companion: Creating a Class

Lecture 65 Understanding the Inner Works of a Class

Lecture 66 Text Companion: Understanding the Inner works of a Class

Lecture 67 Creating More Methods

Lecture 68 Text Companion: Creating More Methods

Lecture 69 Magic Methods

Lecture 70 Text Companion: Magic Methods

Section 8: Conditionals and User Input

Lecture 71 The Input Function

Lecture 72 Text Companion: The Input Function

Lecture 73 The If-else Conditional

Lecture 74 Text Companion: The if-else Conditional

Lecture 75 The If-elif-else Conditional

Lecture 76 Text Companion: The if-elif-else Conditional

Lecture 77 Independent Conditions

Lecture 78 Text Companion: Independent Conditions

Lecture 79 Real-world Use Case of Conditionals

Lecture 80 Text Companion: Real-world Use Case of Conditionals

Section 9: Dictionaries

Lecture 81 Real-world Use Case of Dictionaries

Lecture 82 Text Companion: Real-world Use Case of Dictionaries

Lecture 83 Creating Dictionaries

Lecture 84 Text Companion: Creating Dictionaries

Lecture 85 Complex Dictionaries

Lecture 86 Text Companions: Complex Dictionaries

Lecture 87 Accessing Dictionary Data

Lecture 88 Text Companion: Accessing Dictionary Data

Lecture 89 Adding, Modifying and Removing Values from Dictionaries

Lecture 90 Text Companion: Adding, Modifying and Removing Values from Dictionaries

Lecture 91 Dictionary Methods

Lecture 92 Text Companion: Dictionary Methods

Lecture 93 Creating Dictionaries out of a List

Lecture 94 Text Companion: Creating Dictionaries out of Lists

Section 10: For Loops

Lecture 95 Overview of an App

Lecture 96 Text Companion: Overview of an App(To be decided how it’s going to look by Adi)

Lecture 97 Introduction to For Loops

Lecture 98 Text Companion: Introduction to For Loops

Lecture 99 Loops with Nested Conditionals

Lecture 100 Text Companion: Loops with Nested Conditionals

Lecture 101 Updating Lists with For Loops

Lecture 102 Text Companions: Updating Lists with For Loops

Lecture 103 List Comprehensions

Lecture 104 Text Companion: List Comprehensions

Lecture 105 List Comprehensions with Nested Conditionals

Lecture 106 Text Companion: List comprehensions with Nested Conditionals

Lecture 107 Looping Over Two Lists at the Same Time

Lecture 108 Text Companion: Looping Over Two Lists at the Same Time

Lecture 109 Looping Over Dictionaries

Lecture 110 Text Companion: Looping Over Dictionaries

Section 11: While Loops

Lecture 111 Introduction to While Loops

Lecture 112 Text Companion: Introduction to While Loops

Lecture 113 More About While Loops

Lecture 114 Text Companion: More About While Loops

Lecture 115 Real-world Use Case of While Loops

Lecture 116 Text Companion: Real-world Use Case of While Loops

Section 12: Date and Time Objects

Lecture 117 Date Objects and Why We Need Them

Lecture 118 Text Companion: Date Objects and Why We Need Them

Lecture 119 Datetime and Time Objects

Lecture 120 Text Companion: Datetime and time Objects

Lecture 121 Getting the Current Date and Time

Lecture 122 Text Companion: Getting the Current Date and Time

Lecture 123 Python Datetime Formatting Codes

Lecture 124 Text Companion: Python Datetime Formatting Codes

Lecture 125 Converting Strings to Datetime Objects

Lecture 126 Text Companion: Converting Strings to Datetime Objects

Lecture 127 Real-world Use of Datetime

Lecture 128 Text Companion: Real-world Use of Datetime

Section 13: Reading and Writing Data in Text Files

Lecture 129 Loading Lists From Text Files

Lecture 130 Text Companion: Loading Lists from Text Files

Lecture 131 Loading Strings from Text Files

Lecture 132 Text Companion: Loading Strings from Text Files

Lecture 133 File Handling Pitfalls

Lecture 134 Text Companion: File Handling Pitfalls

Lecture 135 Reading Files Easier Using a Context Manager

Lecture 136 Text Companion: Reading Files Easier using a Context Manager

Lecture 137 Reading Multiple Files at Once

Lecture 138 Text Companion: Reading Multiple Files at Once

Section 14: Writing Text in Text Files

Lecture 139 Storing Text in Text Files

Lecture 140 Text Companion: Storing Text in Text Files

Lecture 141 Appending Text to Existing Text Files

Lecture 142 Text Companion: Appending Text to Existing Text Files

Lecture 143 Reading and Appending at the Same Time

Lecture 144 Text Companion: Reading and Appending at the Same Time

Section 15: Working with JSON Files

Lecture 145 What are JSON Files

Lecture 146 Text Companion: What are JSON Files

Lecture 147 Reading Data from JSON Files

Lecture 148 Text Companion: Reading Data from JSON Files

Lecture 149 Writing Data in JSON Files

Lecture 150 Text Companion: Writing Data in JSON Files

Section 16: Building a Real World App for Restaurants

Lecture 151 Section Introduction

Lecture 152 Demo of the App

Lecture 153 Designing the User Interface

Lecture 154 Designing the Backend

Lecture 155 Designing the Data Model

Lecture 156 Building the Frontend User Interface

Lecture 157 Building the Backend – WebApp Class

Lecture 158 Building the Backend – Getting Data Dynamically

Lecture 159 Getting Data from User Forms

Lecture 160 Adding Orders to the Dataset

Lecture 161 Implementing the Kitchen Interface

Lecture 162 Adding Bootstrap to the Website

Lecture 163 Displaying a Success Message

Lecture 164 Deploying the Web app to a Live Server

Beginners who want to learn Python!,People who are already taking a Python course on their computer can use this course as an companion resource.

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