Matplotlib, NumPy and SciPy. Processing of data, planning of schedules.
11 USD 
The second photo is y2.txt, a file with input data. (not all the data on the photo, their big, about twice)
The tasks are described in Ukrainian.
Lesson 10 on task 2.2, is attached.
The examples of the program for the 10th lecture are attached.
txt file with data (number) is attached.
Resolve these tasks.
The project must include two files with the .py extension (task1.py, task2.py), a pdf file with program screenshots (task1.py, task2.py) and the work result (graphics).
Please use the libraries: Matplotlib, NumPy, SciPy.
Do not need to use the library: SymPy.
"Create a program with a user function" means the input of the data by the user.
Applications 3
Work results
Client's review of cooperation with Denys S.
Matplotlib, NumPy and SciPy. Processing of data, planning of schedules.The work was done in time, the volume of the work done - 100%.
Quality: excellent, but, not respected the rules of PEP8 at 100%, also, unclearness was introduced in the script of the second task (not strase became clear that you need to enter the data in the console (height, resistance ratio, mass)), added manually to the corresponding input`s, the corresponding information (str class objects) with an explanation that you need to enter the user.
I recommend Dennis as a good faithful freelancer.
Freelancer's review of cooperation with Aleksey S.
Matplotlib, NumPy and SciPy. Processing of data, planning of schedules.A very pleasant person and a competent customer. I recommend !
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