The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python

Tien Shan Active Fault Database is a multi-functional digital collection of active faults which integrates decades of mapping and field studies in Central Asia by researchers from the UK Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) alongside global collaborators.

No description available

Generating a map of volcanoes

little interactive volcano map

No description available

Interactive mapping for volcanoes and population

A step-by-step R tutorial for analyzing microarray gene expression data, including data loading, PCA visualization, identifying top variable genes, probe-to-gene mapping, and generating interactive volcano plots and heatmaps with exportable outputs.

An interactive map using the GeoJson data for the last 7 days throughout the world. It shows the major volcanos and the tectonic line in three mapping features(Satelite, Dark, and default). JavaScript serves as the main programming tool to undertake the project.

No description available

Some code to show volcanoes in the USA using the folium module for python

Written in Python, used the Folium library that visualized the locations of Volcanoes and provided information on each volcano.

Created an app to display active volcanos in the united states, as well as shows populations of country, color coded by population size

No description available

No description available

Map creation with python and folium

🌋 A web map example of countries population and volcanoes (folium + pandas)

This project spots the volcanoes with some additional geographical factors in California.

No description available

Geomap with layer controls for Volcanoes and Population. Volcanoes layer toggles the feature group showing volcano markers on map, each of which shows the volcano name and elevation. Population layer toggles the feature group color coding countries by population: Green for low population, Yellow for medium population, and Red for high population regions.

No description available

No description available

A simple python script visualizing volcanoes info based on the https://github.com/plotly/datasets/blob/master/volcano_db.csv dataset

No description available

No description available

A webapp to show the volcanos in a map in the USA with popups and descriptions

Volcanoes Mapping using Folium

No description available

No description available

An analysis of the types of volcanoes closest to tectonic boundaries