On the attempt to always learn something new, I was playing around with Python, the Python-Twitter Package and the Schedule package.
Pretty much I wanted to create a small script where I could every X minutes to connect on twitter and re-tweet some tweets that were using an specific hashtag.
This was what I came up with. Read the rest of this entry
You all know that lately I have been learning a bit of Python and one of the very first things that every single course says are: Create all your projects in a Python Virtual Environment. However, what does Virtual Environment mean?
When you do a default installation of Python, you can pretty much use it, install packages and create all your projects and this will work without any problems. The problem begins when a particular project of yours starts to have dependencies of a certain Python package in a certain level. If you run pip upgrade for a package in your global environment all projects that uses that one will get upgraded as well. The outcome from that are two possible results.
1) Your package is upgraded successfully and all projects that relates to that also work after.
2) Your package is upgraded successfully and some of your projects stops to work because of version compatibility. Read the rest of this entry
PS: Portuguese version below!
Before even starting this blog post, I want it to make it very clear! If you are an Python/Developer Expert most likely this isn’t for you.
The reason for that is if you aren this kind of person, maybe you will find that those courses that I am sharing in here are too basic, because the main idea is really that. I want to share the courses that I did, or that I am still doing and reviewing from time to time, in order to not forget what I learnt.
This blog post is meant for people like me that are maybe SQL Server professionals and want to learn more about this language and what can be done. So, without prolonging too much, here it is my list. Read the rest of this entry
Lately I have been studying a bit of Python that I intend to use at work for some projects and also for learning a new language. I would recommend for you to also learn it, because as you know Python is coming to SQL Server 2017. The thing is that with Python you can use in your Machine Learning models, build Websites using some other frameworks such as: Django or Flask and even automate trivial tasks of your daily basis.
However, something that I know from the top of my head now is: Python was not designed in the first hand to deal with Microsoft SQL Server as a backend database. You don’t find lot’s of examples, the documentation sometimes is a bit misleading and errors and more errors that you cannot even imagine. If you search about Python + MySQL, Python + PostgreSQL, you will find lots of examples out there. I am not saying this is bad or anything, but it is just the way it is. Read the rest of this entry