Continuing the data science topic and Pandas. Here we take a look at more advanced features which lead us to our way to visualize the results — we clean our data.
You can find the article here: http://www.discoversdk.com/blog/python-and-pandas-part-2
Continuing the data science series I advanced from NumPy to Pandas. There you can do much more — and all this easier.
You can read my first article on Pandas here: http://www.discoversdk.com/blog/introduction-to-pandas-data-analysis-in-python
And I am back this year after a longer pause. Again a co-authored article, now about Python web frameworks you should consider if you want to undertake a new project. No Django or Flask but similar good tools.
You can find the article here: http://www.discoversdk.com/blog/5-python-web-frameworks-to-learn-in-2017
Co-authored an article about serializing objects with Python 3: http://www.discoversdk.com/blog/python-serialization-with-pickle
I co-authored an article about basic introduction to testing Python applications.
You can find the article here: http://www.discoversdk.com/blog/testing-python-applications
Homework: fix the factorial function of the article and share your solution with the hashtag #factorialsolution on your favourite social network or as a comment under this entry!
In this article (which is short for its contents) I give a quick introduction into Python 3’s collection datatypes like tuples, lists, sets and dictionaries.
You can find the article here: http://www.discoversdk.com/blog/collection-datatypes-in-python-3
Even if it states that ‘Geast’ is the author you can rest assured that it’s my article.
Again a co-authoring blog article. Here I give a quick introduction how you can migrate your existing Python 2 application to Python 3 and what are some cases which are not covered by the provided migration tool.
You can find the article here: http://www.discoversdk.com/blog/migrating-from-python-2-to-python-3