Python Numpy Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I need someone to build a Excel vba based web crawler to extract large amounts of data from websites. Someone that has work experience of more than 3 years creating web crawlers/ scripts to extract data big websites and solve any security issues. Please see attached file for format needed. Site aliexpress . com ioffer . com etc.
Skills: Python Numpy Data mining Data Science Data scraping
Fixed-Price - Entry Level ($) - Est. Budget: $50 - Posted
I am looking for a python programmer to program a memory efficient function that accepts a image file. Something like this: Loads the image file into a bumpy array. Sorts the pixels of the image according to saturation. Calculates how big a new image needs to be to contain all the pixels Places pixels clock wise into concentric circles or spiral. See attached image. Save circularly sorted pixels as .PNG file with transparent background. This is a fairly trivial task, but I am looking for a version that can run on a low spec virtual machine, so please priority will be given to applicants who can demonstrate experience with NUMPY or propose a more efficient alternatives. Time frame for delivery is flexible, payment on full delivery. I expect well commented and platform agnostic code with a minimum of dependencies for python 2.7 .
Skills: Python Numpy Python
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Hi ! I got few simple tool written in python ! Problem in them is that those tools are very slow ! I need decent performance improvemnt for them ! Tool 1:!M00BVCxS!n4UbvDvv-z4PMTE9iLcdrAWBH3F_tVgB5KGL_AmufcQ Consits of few modules: - - add multithreading - improve algorithm for better performance if possible - maybe using indexed database instesd of file as data source would help? - - add multithreading if possible - make as fast algorithm as possible - should work with files like 50GB but not eat more than 75% of computer RAM - - already multothreaded ! but still very slow !! need decent improvemnt because LSA* scripts are most important to me Tool2:!8wEwAZQS!s8EAQK27Lh1IiA5XMbjGv1oISjbmSyOXKwIK5Phbatw removes duplicates from parallel sets of texts. Now it works but problem is that I want to process 300GB data and the tool tries to load all into memory that needs to be solved. Also introducing multithreading is needed. Other algorithmical improvements are not needed but well seen if possible. Tool3:!E0tkUKDY!4CxlRzz3omo2ux3CpUjtsqls0wWw_QLkPbEGgHdG4uI Works good, but too slow. I would need to add multhreading (but the tools should not consume more that 75% of PC RAM). Other algorithmical improvements are in my opinion requred if possible.
Skills: Python Numpy Artificial Neural Networks CUDA Deep Neural Networks
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
I am looking for someone to build a dating site. A stand-alone, global, social networking/dating site that would start out as a simple, easy to use, open, free platform . It would have a prince charm/sugar daddy has a foot fetish/glass slipper theme. It would use the latest dating platform/software. As it grew it could be customizated with blogs, plug-ins, for different countries, countries, customs and cultures.
Skills: Python Numpy CMS Development Django Drupal
Fixed-Price - Expert ($$$) - Est. Budget: $500 - Posted
In need of python developer. with experience with zipline. I would like to connect an open source software (zipline) to 2 datasets from quandl, so I can run custom code on top of it (custom code already developed). Open Source Software: Dataset 1: Dataset 2: Datasets will be provided to you. Objective: Enable use of quandl data (stock data / fundamental data) in zipline algorithm via the Pipeline API. Pipeline API description: Requirements: 1. Use stock end of day data from quandl and connect via a zipline data bundle, and then create a sample algorithm (feel free to use the following example as the sample algorithm: 2. Load fundamental data from quandl into the sample algorithm (use quarterly data) 3. Load stock data and fundamental data into sample algorithm, where data from both sources is used via the Pipeline API a. Ex: reference AAPL stock symbol, and AAPL’s revenue, and AAPL's Dividend Yield through the pipeline API 4. Deliver a zipline sample algorithm that uses 3 columns of fundamental data from the quandl fundamental data and the stock end of day data from quandl in a file for testing to ensure the algorithm works. 5. Throughout code, include comments, so the code can be followed Feel free to ask any questions.
Skills: Python Numpy Data Science Pandas Python
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Looking for a strong programmer for a project of about 15 days at most. What i want is: A Data Engineer, who comes from a strong SQL background but have moved towards Cloud & Big Data technologies, with strong Python programming skills. You will have also worked closely with Amazon Redshift and Amazon Web Services and have a good appreciate for a range of new technologies, particularly real-time analytics products like Spark. Dont hesitate to ask me any questions
Skills: Python Numpy Amazon EC2 Amazon Relational Database Service Data scraping
Fixed-Price - Expert ($$$) - Est. Budget: $30 - Posted
Have some pre-existing python code that needs to be adjusted. The python code pulls from a database, and creates two csv file - 1) a total file, which saves all data, and 2) a 30 minute file, which displays all data collected in the past 30 minutes, and this file is updated constantly, every 10 seconds. The file that is not working is the second 30 minute file. The issues are: 1) Has incorrect number of data points 2) Is sometimes blank when I pull the file from the cloud The file needs to update every 10 seconds, but I also need the ability to rapidly pull it every second - and have all the necessary data available.
Skills: Python Numpy Amazon EC2 Amazon DynamoDB Python
Fixed-Price - Entry Level ($) - Est. Budget: $10 - Posted
Hey, I am new in the Docker-Universum... I need a Dockerfile for Sympy-Gamma. It shoud be a very easy Thing but i actually not have the time to read into Docker. Start with this container: I can use docker build and Docker run commands ;) Have a nice Day Christian
Skills: Python Numpy Docker Python Python SciPy
Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
You’ll be responsible for doing the following for the Project: - Building, evaluating, and assessing different Machine Learning Algorithms or processes, such as - Supervised Learning - Unsupervised Learning - Reinforcement Learning. - Build Scalable Deep Learning Algorithms using low-level code to crunch massive datasets. - Conducting ad-hoc data analysis. - Perform ad-hoc duties as required by supervisor.
Skills: Python Numpy Data Analytics Data Visualization Machine learning