In this tutorial on python for data science, you will learn about how to create geographic maps in python. how to create choropleth maps using plotly in python using jupyter notebook. what is choropleth maps and point maps.


This is the 38th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! [ Ссылка ]

👉 What is Data Science [ Ссылка ]

👉 Why Python for Data Analysis [ Ссылка ]

👉 Filtering and Selecting Data [ Ссылка ]

👉 Treating Missing Values [ Ссылка ]

👉 Removing Duplicates From Data [ Ссылка ]

👉 Data Concatenation and Transformation [ Ссылка ]

👉 Grouping Data ( How to Import CSV File in Python - Jupyter Notebook ) [ Ссылка ]

👉 What is the Best Data Visualization Technique For You? Part 1 [ Ссылка ]

👉 What is the Best Data Visualization Technique For You? Part 2 [ Ссылка ]

👉 Create Line Chart, Bar Chart and Pie Chart (How to Save As PNG Image) [ Ссылка ]

👉 Add Plot elements and Create subplots in Python Using Matplotlib [ Ссылка ]

👉 Plot Colors, Marker Styles and Line Styles Using Matplotlib and Pandas [ Ссылка ]

👉 Labeling, Add legend & Annotating Graphs/Plots Using Matplotlib & Pandas [ Ссылка ]

👉 Plot Time Series Data In Python With Matplotlib, Pandas and Numpy Using Jupyterlab [ Ссылка ]

👉 Plot Boxplots, Scatterplot Matrices, Histogram In Python Using Seaborn, Matplotlib & Pandas [ Ссылка ]

👉 Arrays and Matrices In Python With NumPy | Matrix Multiplication Using Numpy [ Ссылка ]

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Please watch: "How to Calculate Age from Date of Birth in Excel in Years Months and Days (Simple Formula)"
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