firstpythonnotebook.org valuation and analysis
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| Title | First Python Notebook — First Python Notebook |
| Description | palewire Posts Work Talks Docs About First Python Notebook ¶ A step-by-step guide to analyzing data with Python and the Jupyter notebook. What you will le |
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firstpythonnotebook.org Valuation
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US$830
Last updated: 2023-05-01 12:26:48
firstpythonnotebook.org has Semrush global rank of 0. firstpythonnotebook.org has an estimated worth of US$ 830, based on its estimated Ads revenue. firstpythonnotebook.org receives approximately 95 unique visitors each day. Its web server is located in , with IP address . According to SiteAdvisor, firstpythonnotebook.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$830 |
| Daily Ads Revenue | US$0 |
| Monthly Ads Revenue | US$23 |
| Yearly Ads Revenue | US$276 |
| Daily Unique Visitors | 6 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| firstpythonnotebook.org. 14400 | NS | firstpythonnotebook.org. 14400 | NS Record: ns2.dreamhost.com. |
| firstpythonnotebook.org. 14400 | NS | firstpythonnotebook.org. 14400 | NS Record: ns1.dreamhost.com. |
| firstpythonnotebook.org. 14400 | NS | firstpythonnotebook.org. 14400 | NS Record: ns3.dreamhost.com. |
HtmlToTextCheckTime:2023-05-01 12:26:48
| palewire Posts Work Talks Docs About First Python Notebook ¶ A step-by-step guide to analyzing data with Python and the Jupyter notebook. What you will learn ¶ This textbook will teach you: Just enough of the Python computer-programming language to read, filter, join, group, aggregate and rank structured data with pandas , a popular open-source tool for statistical analysis How to record, remix and republish your work using Project Jupyter , a browser-based interface for writing code that is emerging as the standard for generating reproducible research How to explore data using using Altair , a Python package that offers a simple, structured grammar for generating charts. Who can take it ¶ This course is free. If you’ve tried Python once or twice, have good attitude and know how to take a few code crashes in stride, you are qualified. Table of contents ¶ Chapters 1. JupyterLab 2. Notebooks 3. Pandas 4. Data 5. Columns 6. Filter 7. Group 8. Merge 9. Compute 10. Sort 11. Charts 12. |
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