Well, this post is not about 100 days of code but this blog. As you have probably seen, last week the regular post did not appear — because there was no regular post. That’s because I cannot keep up the pace.
This year I have been attending the Craft Conference in Budapest. It was again a great event: with its ups and downs as everything.
I’d like, if I may, tell you my experience, my story and my key takeaways from these 4 days.
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
Some of my articles have been translated to French. If you are interested, you can check out them here: http://ghajba.developpez.com/
To continue the previous article I have written a follow-up where I introduce you to more advanced features of NumPy.
You can read the article here: http://www.discoversdk.com/blog/numpy-advanced-topics
I authored a follow-up article to my Cython introduction.
You can find it here: http://www.discoversdk.com/blog/cython-advanced-topics