If you really want to be a data scientist and grow in this profession, you will need a lot of different skills. SQL and

This error was extremely confusing to me since the data types of my Pandas dataframe matched perfectly with those defined in the SQL Server table. In particular, the data that I was trying to load was a time series with a timestamp and measurement columns some metadata columns.

“Make a note, let’s revisit it after we ship” became my go to line. We all knew what we had to do. We’d build the feature, QA it, fix any bugs, then call it done and move onto the next feature. Somewhere was that list, safely tucked away, things for us to revisit down the road.

The important parts are “*” and “**”. You can use any word instead of args and kwargs but it is the common practice to use the words args and kwargs. Thus, there is no need for unnecessary adventures.

Makes sure your code is secure, reliable, and relatively efficient. But remember: your code is most likely not (yet) operating at a scale where an inefficiency is going to cost your business significant money. So it doesn’t matter! Just make it work.

It’s absolutely okay to have agreed upon standards in your codebase and best practices for your team and for your company. If your team is moving slower because everyone on the team needs to have their code filtered into the particular style or preferences of a certain, strongly opinionated engineer, it’s going to take you a lot longer to ship everything.

I’ve been recently trying to load large datasets to a SQL Server database with Python. Usually, to speed up the inserts with pyodbc, I tend to use the feature cursor.fast_executemany = True which significantly speeds up the inserts. However, today I experienced a weird bug and started digging deeper into how fast_executemany really works.

Makes sure your code is secure, reliable, and relatively efficient. But remember: your code is most likely not (yet) operating at a scale where an inefficiency is going to cost your business significant money. So it doesn’t matter! Just make it work.

I shared my own journey, some great resources I used on the way, and some of my ideas in this article. I hope it will be helpful for some of you. I am sure many people will relate to some of my experiences. Please feel free to ask if you have any questions for me.

This function sums up only two numbers. What if we want a function that sums up three or four numbers? We may not even want to put a constraint on the number of arguments that passes to the function.

So whether you’re learning to code and reading this or you’re deeper into your engineering career, spend more time getting things to work and less time obsessing about the shoulds of engineering.

3. If you do not have any math or technical background, you may have to spend some extra time. But there is nothing to be pessimistic about. If you want something, you need to spend time and put some effort into it.

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r investment on July 13 at Netflix’s peak price of $575.37, which would equate to a 53,601% return, your shares would only be worth $539,697. Obviously, that dollar amount probably doesn’t warrant me saying “only” but, for the purposes of our example, it doesn’t make you a millionaire.

This function performs addition operation if option is True. Since the default value is True, the function returns the sum of the arguments unless option parameter is declared as False.

This function performs addition operation if option is True. Since the default value is True, the function returns the sum of the arguments unless option parameter is declared as False.

Functions are building blocks in Python. They take zero or more arguments and return a value. Python is pretty flexible in terms of how arguments are passed to a function. The *args and **kwargs make it easier and cleaner to handle arguments.