Download Data from the Web in Python
1.7 هزار بار بازدید -
2 سال پیش
-
【Ｏｎｌｉｎｅ Ｃｏｕｒｓｅｓ】⚡Getting Started with Stata:
【Ｏｎｌｉｎｅ Ｃｏｕｒｓｅｓ】
⚡Getting Started with Stata: (24 lectures + 4 assignments = 5.5 hours content): available on Udemy: https://www.udemy.com/course/getting-...
⚡Applied Time Series using Stata (29 lectures + 4 assignments = 6.5 hours content): available on Udemy: https://www.udemy.com/course/applied-...
This tutorial covers the Python HTTP library, Requests, which can be used to obtain data from the web. We write a Python code that downloads climate data from http://berkeleyearth.org/. The same principle can be used to download files from other urls. I show you how to download the data into a text file. Then we use NumPy to load the text file into a NumPy array. Finally, we convert the data into a Pandas DataFrame. If this sounds like crazy data fun for you, please join us!
The material including the code is on GitHub (https://github.com/GerhardKling/DataW....
I show you how to create and activate a virtual environment (which is optional – but useful to do). We use the pip installer.
If you do not have the pip installer, download get-pip.py. The download needs to be in same path as your Python installation - then change the directory into the folder. Using the command line, type: python get-pip.py, and finally check the installation: pip -V.
To install virtual environments, use: pip install virtualenv
We develop the code step-by-step. This will enable you to learn how to modify the code to suit your specific requirements. Please leave a comment if you have any questions. Python is the way!
Chapters
0:00 Data from the Web
0:36 Virtual Environment
2:26 Using Requests
4:02 Save Data to File
5:03 DataFrame
The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages including Python, Stata, and C++ to tackle problems and for fun.
Stay in touch
Please leave comments or follow us on Twitter (Twitter: GerhardklingS. DMs are open.
Hashtags
#datascience #python #datafromweb
⚡Getting Started with Stata: (24 lectures + 4 assignments = 5.5 hours content): available on Udemy: https://www.udemy.com/course/getting-...
⚡Applied Time Series using Stata (29 lectures + 4 assignments = 6.5 hours content): available on Udemy: https://www.udemy.com/course/applied-...
This tutorial covers the Python HTTP library, Requests, which can be used to obtain data from the web. We write a Python code that downloads climate data from http://berkeleyearth.org/. The same principle can be used to download files from other urls. I show you how to download the data into a text file. Then we use NumPy to load the text file into a NumPy array. Finally, we convert the data into a Pandas DataFrame. If this sounds like crazy data fun for you, please join us!
The material including the code is on GitHub (https://github.com/GerhardKling/DataW....
I show you how to create and activate a virtual environment (which is optional – but useful to do). We use the pip installer.
If you do not have the pip installer, download get-pip.py. The download needs to be in same path as your Python installation - then change the directory into the folder. Using the command line, type: python get-pip.py, and finally check the installation: pip -V.
To install virtual environments, use: pip install virtualenv
We develop the code step-by-step. This will enable you to learn how to modify the code to suit your specific requirements. Please leave a comment if you have any questions. Python is the way!
Chapters
0:00 Data from the Web
0:36 Virtual Environment
2:26 Using Requests
4:02 Save Data to File
5:03 DataFrame
The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages including Python, Stata, and C++ to tackle problems and for fun.
Stay in touch
Please leave comments or follow us on Twitter (Twitter: GerhardklingS. DMs are open.
Hashtags
#datascience #python #datafromweb
2 سال پیش
در تاریخ 1401/01/09 منتشر شده
است.
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