create a unique function in python for part of my project
€30-250 EUR
Completed
Posted almost 4 years ago
€30-250 EUR
Paid on delivery
I have a table that shows bunch of football teams playing against each other (with time tag and the game result
showing who won and how many goals was scored).
I need someone to write me an EXTREMELY EFFICIENT python function that goes thru the file (by time) and provide the following statistics;
- each teams last 5 game performance (W, L or D)
- each teams last 5 home game performance (W, L or D)
- each teams last 5 away game performance (W, L or D)
- each teams number of goals scores in their last 5 games.
- each teams number of goals scores in their last 5 home games.
- each teams number of goals scores in their last 5 away games.
The table will be close to 1million rows so the function must be extremely efficient, optimized and fast!. I will provide an example table to work on but here how it will look as a toy example;
TABLE:
Team_Home, Team_Away, Gametime, TotalGoals, Winner
team-X, team-Y, 1/1/2019 09:45:00, 3, TEAM_HOME
team-Z, team-T, 1/1/2019 10:45:00, 2, TEAM_AWAY
team-T, team-X, 2/1/2019 09:45:00, 0, DRAW
team-O, team-Y, 3/1/2019 09:45:00, 5, TEAM_HOME
The number of teams are unknown and will be defined by the table.
It can be many functions or one piece of code, however you think is the FASTEST WAY.
And lastly, again an efficient way to merge these information back to the main table...
*** Python Football Stats Project ***
I read your project description very carefully.
I have a deep understanding and experience in the areas of Python that you mentioned.
I've previously worked on the exact same project for another employer.
Check my past reviews and profiles
So, I would like to go through more specific discussions with you to provide successful results.
Thank you, from Mohamed F.
Hello
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Hi, I'm a Python expert having a lot of expeirences in windows desktop developement. I have read your project description.
I can write you an EXTREMELY EFFICIENT python function that goes thru the file (by time) and provide the statistics.
Hope your kind contact.
Best regards.
thanks for your job posting in advance.
This is a Senior python programmer and Data Science, Data Engineering Expert.
as your data is table, we can use pandas data frame. and can use multithreading and multiprocessing for fast process.
I have ever developed some projects like your project.
I'd like to discuss the details via chat.
Regards
hello sir
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lets have a chat so that we can discuss more.
Dear client,
I read your project description carefully.
I am so confident in your project and i am really hoping to work for your project as python expert.
I have been developing many python programs for 5 years
Your project is really a piece of cake for me, so I hope that we can discuss your project in details.
I will wait your kind reply, thanks.
Hello there!
I'd love to give you a hand with this task. Im not only a python lover, I am a football fan as well -- sounds like a good day of work to me.
Hope to hear back from you!
Cheers.
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Hello!
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nataliya.
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Regards,
Fridah
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Regards
Lucky
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I am a professional big data engineer with experience in handling large dataset for analytics.
I believe I can do this work efficiently in Python
Hope to work with you soon
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Regards.
Hello? I am a Programmer with expert coding skills in python. I can build a function that reports the require match statistics given data. I have read and understood project requirements and i strongly believe i am the right freelancer for this work. I am very good at using Pandas library and can create a very fast, conveniently-packed and high performance code. I look forward to your response so we can chat more about the project details.
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Hi
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Hi,
According to the description:
- Input to the system is a file with more than 1 million records (not a database)
- This table is not updating dynamically
Under these conditions, we have to read the file once and store the data of each team member on a data structure with key -> value pairs. ex:(dictionary). We have to write functions to retrieve the data you required. After inserting the data, retrieving the data will be really fast.