Published 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.09 GB | Duration: 2h 52m
Learn how to build weather app using Python, Tkinter, and Open Weather API
What you’ll learn
Learn how to build weather application from scratch
Learn how to integrate the app with OpenWeather API
Learn the business perspective of launching weather app
Learn how to access real time data from API
Learn Tkinter and graphical user interface
Requirements
No previous programming experience is required. You will learn all you need in our basic python training session
Willingness to learn and be innovative.
Description
Welcome to Building Weather App with Python and Open Weather API course. This is basically an extensive project based course where you will be guided step by step on how to build a weather app from scratch using Python programming language alongside with Tkinter which is one of Python libraries commonly used for building simple graphical user interface. In addition to that, we are going to get real time and constantly updated weather data from an open weather API which can be accessed for completely free. Therefore, the weather application which will be built in this course will be fully integrated with the API. The weather app would have several features, displaying current temperature, max temperature, min temperature, humidity, pressure, wind speed and the user of the app gets to choose the location. From the front end side, we will create an easy to use and user friendly interface where hopefully it can enhance the user’s experience.For those of you who are not really confident with your programming skills, there is nothing you should worry about since this course also comes with a basic Python training session where you will learn fundamentals of Python and be provided with all you need to succeed in this project. Besides that, at the end of the course, we are also going to be having discussion about multiple different paths to monetise weather app assuming you are serious about developing and eventually launching the app to the app store. Hence, you will also be exposed to the business perspective of launching and making money off the app, whether it’s through subscription or displaying advertisements on the app.Below are things you will learn in the course:Basic Python training session:Learning different data types in Python (string, integer, float, and boolean)Learning how to build functions and pass down parameters to the functionLearning JSON (Javascript Object Notation)Learning how to operate Tkinter and create graphical user interfaceWeather app project:Building easy to use and user friendly interfaceFull integration with Open Weather APIRequest and display real time weather data from the APILearn the business perspective of monetising an appLearn how to utilise different properties of TkinterLearn how to enable users to check temperature of different locationsAs what most people said, the best way to learn is to actually learn by doing since you get to apply all of your skills and knowledge, by doing so automatically you will speed up your learning process and that is what exactly what you will get from this course as you get to implement your Python programming skills and knowledge into a real project with real use cases. Last but not least, you will also be exposed to the business perspective of launching the app, particularly multiple different monetisation paths you can consider to earn income from your application.
Overview
Section 1: Introduction
Lecture 1 Introduction to the Course
Lecture 2 Highlight of the Course
Lecture 3 Whom This Course is Intended for?
Section 2: Tools, IDE, and API
Lecture 4 Tools, IDE, and API
Section 3: Project Preparations
Lecture 5 What are We Going to Build?
Lecture 6 Introduction to Open Weather API
Lecture 7 API Explained
Lecture 8 Introduction to Tkinter
Section 4: Setting Up All Required Tools
Lecture 9 Setting Up IDE
Lecture 10 Installing Python
Lecture 11 Generating Open Weather API Key
Section 5: Basic Python Training Session
Lecture 12 Basic Python Training Session
Lecture 13 Data Types Practice
Lecture 14 Function and Parameter Practice
Lecture 15 JSON Practice
Lecture 16 Tkinter Practice
Section 6: Building Weather App
Lecture 17 Installing & Importing Libraries
Lecture 18 Initialise Tkinter Properties
Lecture 19 Function to Request Data
Lecture 20 Displaying Requested Data
Lecture 21 Creating Check Button
Lecture 22 Building User Interface
Section 7: Testing Weather App
Lecture 23 Testing Conditions
Lecture 24 Testing 1: Real Time Data
Lecture 25 Testing 2: Different Locations
Section 8: Weather App Monetisation
Lecture 26 Weather App Monetisation
Section 9: Github Tutorial
Lecture 27 Github Tutorial
Section 10: Conclusion & Summary
Lecture 28 Conclusion & Summary
Future tech entrepreneurs who want to launch their apps,Python learners who want to learn by building projects with real use cases,People who are interested in weather/climate data
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