A Simple Python Assignment Deadline 24 hour

Hello, I'm using Python everyday for most of my programming needs. I have experience with relevant Python modules like csv and xlrd (for XLS file processing). If you are interested I can quickly build you a sample Python application that generates the stats you require. Thank you for your time! Best wishes, Ionut

Hello! I prefer csv file. I have some questions - may be my english can be better.... Boris Kocherov

Hello, I can do the program, if it reads from a CSV file. I can do it in the 24h limit. Thanks. .....

I am working on software development since 1992. I am expert on migration of databases, custom or general purpose. I can migrate any kind of relational databases with just few SQL sentences. I can solve problems about replacing or combining data related with plugins, modules, themes or components. I have a lot of linux server administrator skills. I have an strong knowledge of server side scripting, and client side. I can data scrape of webpages, normalize and populate into a system. The products are well documented. I deliver tested final products on my own server.

More than 6 years of experience with python and data manipulations, i dont see any trouble with the requirements and it certainly can be done in 24 hrs

I am an experienced Python programmer, and I make utilities like this for my own day-to-day chores. I recommend you drop the .xls/.xlm input requirement, and just take UTF8-encoded CSV text files as input. The spreadsheets can export to CSV, the core of the analysis work is parsing tabular data, and taking on the .xls and .xlm format just adds risk that the Python modules for those formats will have some bug that gets in the way. I will deliver a single Python source file which runs as a command-line program. You give it two parameters, the name of an input file, and the number (1-12) of a month that you want to compare. It prints: * Average hotel stays for November of every year, average hotel stays for every month of every year, November average as percentage of every-month average, and message "higher" or "lower" for November average relative to every-month average. * Which month has fewest average stays for all years in data file. * Which month has most average stays for all years in data file. * When printing name of month, it will adopt the name in column B (which looks like Icelandic). Other messages will be in English. * Output file will be in UTF-8 plain text, to standard out. Input format: * All lines before, and blank lines, discarded. * First line after blank lines discarded. * Second line after blank lines is interpreted as column headers, giving years. * Following 12 lines are interpreted as months, month 1 (January) to month 12 (December) * UTF8 CSV text.

Glad to have the chance to work with you on this Python project. I'm using Python to analyze the log data for many products in an international cloud computing US company. We can cooperate with me on this area for long term. Thanks.

I have seen your details, it is easy. I have writeen simliar project before and you can connect me if you are interested. I can send you some similar codes you can check it first.