The essence of the task is to read, restore, record a Excel table, and build a diagram.
Everything must be done using Xlrd.
You cannot use NumPy, SciPy, or Pandas.
More in detail:
1 . Task: Process 10 deposits and extract all data on each table to the screen
2nd Task: In one of the columns to turn the columns into lines depending on whom they belong (build a new table from the available data)
Three Generate CSV with 1 tab and data
4 . Build a Diagram
More detailed task with images in the application, as well as a database for processing.
Имеется небольшое задание, состоит из 4 секций.
Суть задания прочитать, перестроить, записать таблицу Excel, и построить диаграмму.
Требуется все сделать используя xlrd.
Нельзя использовать NumPy, SciPy, or Pandas.
Более подробно:
1. Задание: Обработать 10 вкладок и вывести на экран все данные по каждой таблице
2. Задание: В одной из вкладок столбцы превратить в строчки в зависимости от того кому они принадлежат (построить новую таблицу из имеющихся данных)
3. Сгенерировать CSV с 1 вкладкой и данными
4. Построить Диаграмму
Более подробное задание с картинками в приложении, а так же база данных для обработки.
Applications 2
Client's feedback on cooperation with Viktoriia M.
Processing Excel tables using only xlrd PythonIt is not to say that the work is done perfectly! Such actors should be in the top. Per
The work is done in such a way that this method of execution can be copied as a "gold reference".
Will I be contacting again? of course ! I think I was fortunate to find Victoria. He received offers from "professionals" not only with exaggerated values in 3 times, but also over a period of more than a week. Victoria managed to work in 24 hours! This was not in terms and she had enough time to perform, but in this example the speed had no effect on quality at all! Only positive emotions!
Freelancer's feedback on cooperation with Alex Alex
Processing Excel tables using only xlrd PythonA slightly smooth formulation of the task due to several sources with a condition.
The rest is good communication with the customer, the dialogue is constructive. The discussion and implementation of the work did not take much time.
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86 8 3 1 There are two years of programming experience on Python + big data processing. A year of experience in the field of machine learning, I want to take the project! Ready to perform without Numpy, Pandas and Scipy.
Есть два года опыта программирования на Python + обработка больших данных. Год опыта работы в области машинного обучения, хочу взяться за проект! Готов выполнить без Numpy, Pandas и Scipy.
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229 Hello to you!
Ready to take your project.
I will complete in 2-3 days.
Здравствуйте!
Готов взяться за ваш проект.
Выполню за 2-3 дня.
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