Python Scipy Jobs

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Fixed Price Budget - Expert ($$$) - $5 to $19 - Posted
Note: this is not a coding task. *********************************** I've just take a simple pandas series, and plotted a bar chart using each of the following: pandas itself Seaborn vincent d3js mpld3 plot.ly Bokeh python-nvd3 Plot.ly is the only one that produced a chart that one can say was truly dynamic. And even then, the dynamism amounted to showing some values when the bars are moused over. And although some of the others provide the ability to zoom in, pan etc. and the technology is overall impressive and aesthetically pleasing, here's my issue: Charts generally live, get distributed in, and get displayed in, static media such as Word, PDF, and PowerPoint, in the vast majority of corporate and academic settings. That's not going to change any day soon. Yes there are cases where things like maps etc. lend themselves to the sort of D3-like capabilities of zooming in and seeing more granularity. But on the whole, I am not seeing the value of producing Scatter, Box, Line, Column and other charts in Python. Indeed, a suggestion I made recently to take some data and plot some of the above with Python was shot down, because the requester (a non-Python person), "would not be able to make revisions to the charts in Excel if she wanted". A very valid argument. As a Python developer, I want to be convinced that really taking the time and effort to dive into creating visualisations in Python, and mastering it, is going to be worth it professionally. The task is to provide me with some real examples (either from your own experience, or from industry) of where Python visualisations are actually preferred (not just "a pretty alternative", but actually *preferred*) over Excel. Examples from small, quirky, adventurous start-ups are not really what I'm interested in; we all know that these organisations are more adventurous and like the cutting edge of things. Nor am I interested in the examples of specialised, complex math based usage à la Matlab. I'm looking for examples of large-scale adoption in industry, or at least adoption *trends*. The deliverable is either a document, or links to some white papers, or some of your own portfolio, or whatever you think is best. You decide. Again, I'm not interested in seeing any actual code. How many is "some examples"? I'm not counting the amount of examples you provide. I'm interested in being convinced. Convince me. In your cover letter, just give me some indication that you've read the job spec and you understand what I'm after. I'm not looking to mine free advice - don't worry - so you can keep it short.
Skills: Python SciPy Big Data Data Analytics Data Science
Fixed-Price - Expert ($$$) - Est. Budget: $75 - Posted
Need assistance from accomplished numpy/scipy professional. Given two np-arrays A,B where A.shape=(n, m) dim(m)>=3 and B.shape=(nb,mb) dim(mb=6) create numpy sequence to determine average of i (1<i<6) shortest euclidean distances to B. Need speed of execution. We will provide test cases of A,B to validate solution.
Skills: Python SciPy Python Numpy
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I am analyzing data for academic publications (Multiple) and looking for a statistician who uses Pandas/Numpy/Scipy/Statmodels This job (the first of many) is finalizing the results section of a partially completed data analysis of a small data set. (n=77 with ~ 13 variables). Work includes multivariate model building, Correlations, generating graphs for publication. (initial descriptive and prelim multivariate is already done) Good communication skill required. Prior coaching experience would be a plus.
Skills: Python SciPy Python Numpy Statistics
Fixed Price Budget - Expert ($$$) - $100 to $500 - Posted
Hi, I would like to get some technical and analysis help in applying data mining/data science in positional data. Also Skype or face-to-face meeting in explains how things were done in details. If you are unable to support what you provide in Skype meeting then detailed documents should be provided to help me understand the details needed. The point of this task/project is not for you to do all the work, it is also to develop my knowledge and understanding in order to do what required and fully understand it. The task may include : 1- selecting best, efficient, effective and appropriate techniques to be applied 2- suggestion of tools to be used 3- visualisation of inputs, process, result. 4- ability to accept related tasks to the task as it develops. Please note that I need to understand all the details, knowledge and process applied in this work. Please send me your related work in data mining related to applying DM to positional data as well to visualisation of the data. Many thanks, Khal
  • Number of freelancers needed: 3
Skills: Python SciPy Data Analytics Data mining Data Modeling
Fixed-Price - Expert ($$$) - Est. Budget: $10,000 - Posted
We need additional strong ML Analysts to work with our team on identifying transportation mode (car, train, bus etc) from smart-phone data streams we are capturing (mainly raw GPS and Accelerometer). You will have extensive knowledge and practical experience with ML (including SVM, BNN and even Deep learning preferably). You may use R or matlab or Julia or Python for your analysis, but ultimately the resulting code must be implemented in Python or C. Best if you have previous experience working with GPS and accelerometer streams from smart-phones for this type of research. Also good if you have experience with designing experiments to create the necessary data to improve ML algorithms. This first assignment will be for about 2 weeks - and if skills and chemistry works out, we can extend for several more weeks as we need this team to continue to improve this transportation mode detection forever fundamentally. Much academic literature has been published about this challenge and it would be preferred if you have read up on these and feel comfortable being able to put in practice some of the better ideas found in these publications.
Skills: Python SciPy Machine learning Python