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Title | Python 10 minutes a day - Progress |
Description | Short but concise Python programming course to get you up and running fast. Here are all tutorials presented as a progress |
Keywords | Python Tutorial Course Beginner Easy Quick Programming Data Science Machine Learning AI ML NLP |
WebSite | python-10-minutes-a-day.rocks |
Host IP | 185.199.108.153 |
Location | - |
Site | Rank |
US$658
Last updated: 2023-05-11 07:38:08
python-10-minutes-a-day.rocks has Semrush global rank of 0. python-10-minutes-a-day.rocks has an estimated worth of US$ 658, based on its estimated Ads revenue. python-10-minutes-a-day.rocks receives approximately 76 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, python-10-minutes-a-day.rocks is safe to visit. |
Purchase/Sale Value | US$658 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$18 |
Yearly Ads Revenue | US$218 |
Daily Unique Visitors | 5 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
python-10-minutes-a-day.rocks. 300 IN | A | IP: dennisbakhuis.github.io. | |
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dennisbakhuis.github.io. 3599 | A | dennisbakhuis.github.io. 3599 | IP: 185.199.111.153 |
dennisbakhuis.github.io. 3599 | A | dennisbakhuis.github.io. 3599 | IP: 185.199.109.153 |
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dennisbakhuis.github.io. 3599 | AAAA | dennisbakhuis.github.io. 3599 | IPV6: 2606:50c0:8003::153 |
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Python 10 minutes a day Progress tracker Track your progress during the series (uses cookies to store locally). Links are provided to the Medium post and the Jupyter Notebook on Github. I highly advice the Medium posts as their formatting is better. Feel free to contact me on LinkedIn if you have any questions! Study guide 0. Environments, Conda, Pip, aaaaah! 1. What are Python, IPython, and Jupyter lab? 2. Using Jupyter Lab and navigating notebooks 3. Commenting - what Python ignores is useful for you! 4. Numeric variables and how to assign them 5. Representing text using strings 6. Conditionals in Python: if, elif, and else structures 7. The most all-round data type in Python: the list 8. Looping in Python: for a while 9. Defining functions and stop repeating yourself 10. Testing you new skills: code a quick-sort algorithm 11. Reading and writing files in Python 12. Try, except, finally, and context managers 13. Dictionaries - key value stores 14. Tuples and sets 15. Working with |
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