![]() Return the answer in any order.Ī mapping of digit to letters (just like on the telephone buttons) is given below. QUESTION: Given a string containing digits from 2-9 inclusive, return all possible letter combinations that the number could represent. Since algorithms are not limited to only one programming language, these questions test your logic and thinking, as well as coding in Python.įor example, you could get this question: When it comes to Python algorithm interview questions, they test your problem-solving using the algorithms. Output just the difference in salaries.ĭf = pd.merge(db_employee, db_dept, how = 'left',left_on =, right_on=)ĭf_eng = df1.groupby('department').max().reset_index(name='eng_salary')ĭf_mkt = df2.groupby('department').max().reset_index(name='mkt_salary') QUESTION: Write a query that calculates the difference between the highest salaries found in the marketing and engineering departments. One of the questions asked to test your data analysis skills is this one from Dropbox: Fortunately, the ‘fb_confirmers’ table contains valid confirmation records so you can use this table to identify SMS text messages that were confirmed by the user.Ĭalculate the percentage of confirmed SMS texts for August 4, 2020.ĭf = fb_sms_sends]ĭf1 = df.isin() = False]ĭf1_grouped = df1.groupby('ds').count().reset_index(name='count')ĭf1_grouped_0804 = df1_grouped='08-04-2020']ĭf2 = fb_confirmers]ĭf3 = pd.merge(df1,df2, how ='left',left_on =, right_on = )ĭf3_grouped = df3.groupby('date').count().reset_index(name='confirmed_count')ĭf3_grouped_0804 = df3_grouped='08-04-2020'] These message types should not be in the table. Unfortunately, there was an ETL problem with the database where friend requests and invalid confirmation records were inserted into the logs, which are stored in the ‘fb_sms_sends’ table. ![]() Confirmation texts are only valid on the date they were sent. ![]() In order to successfully 2FA they must confirm they received the SMS text message. QUESTION: Facebook sends SMS texts when users attempt to 2FA (2-factor authenticate) into the platform to log in. These questions are designed to test the above technical concept by solving the ETL (extracting, transforming, and loading data) problems and performing some data analysis. Let’s have a closer look at each of them. Python Interview Types of QuestionsĪll those six technical concepts are mainly tested by only two types of interview questions. It is designed for practical data analysis in finance, social sciences, statistics, and engineering. While there are several external libraries used, Pandas is probably the most popular. They do that until the conditionals (true/false tests) tell them to stop. Loops are used in repetitive tasks when they perform one piece of code over and over again. The built-in functions you can’t avoid are abs(), isinstance(), len(), list(), min(), max(), pow(), range(), round(), split(), sorted(), type(). You don’t need to know them all while, of course, it’s better to know as many as possible. These are arrays, stack, queue, trees, linked lists, graphs, HashMaps. On top of using the built-in data structures, you should also be able to define and use some of the user-defined data structures. Knowing these four built-in data structures will help you organize and store data in a way that will allow easier access and modifications. These are list, dictionary, tuple, and sets. Those are data-types such as integers (int), floats (float), complex (complex), strings (str), booleans (bool), null values (None). ![]() This means you should know the most commonly used data types in Python, the difference between them, when and how to use them. Data Typesĭata types are the concept you should be familiar with. Technical Python concepts tested in the data science job interviews are:Įxternal libraries (Pandas) 1. After all, if you know how to use the concepts I’ll be talking about, you probably know to explain them too. They can come up in the interview, but they too cover the technical concepts found in the coding questions. I’ll not bother you with theoretical questions.
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