Python Numpy Jobs

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Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
We have written some machine learning scripts in Python that are now breaking on several datasets. We need some help with someone that understands coding in python.
Skills: Python Numpy Pandas Python SciPy
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Hello I am looking for a tutor who can commit to a schedule to provide 1 hour tutoring sessions using an Ipython notebook (Enthough Canopy/Anaconda etc) I have been studying Python for 12 months and have the basics but I am happy to fast track the learning curve with a tutor. I have some projects/example problems to work through in the tutorials. English essential and previous teaching experience would help. Thanks.
Skills: Python Numpy Python
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
We have an HMM model in R that needs to be implemented in Python or C (we do not have a preference) in order to improve performance. See for sample code. We will provide you with sample data and the R script and expect you to build a program that can be executed on a server on AWS.
Skills: Python Numpy C Machine learning Python
Fixed-Price - Entry Level ($) - Est. Budget: $40 - Posted
Need someone to deliver me a script (and ensure it works on my server) that will read a text file and post it to a facebook business page. The text file will be of the following format: Lines 1-10 will be the .JPG image URLs (there may be 0 to 10 images) Line 11: URL to take you to a specific web page (maybe be blank if no URL) Lines 12+: Text Description (may contain a URL also) The posting to facebook business page should look like one of the two attached images (depending on the configuration of the text file and if images are included or not in the configuration file). If images are not included in the configuration file, we will let Facebook pull what it thinks is the best image from the page's URL link. The Facebook business page ID and/or any username/passwords/tokens will be variables coded once at the top of the posting script. An important part of this script also will be that the script must pull and post using valid facebook token each time it runs. For this an extended 60 day token should be used (unless you can get the script to pull a new valid token each time it runs). If an extended 60 day token is used, you must also provide a web script that I can run once every two months that will generate the new 60 day token. Ultimately this script will be ran from a crontab job, so all paths used in the scripts will have to use full paths. Additionally, implementing this script must done using OAuth and not done using Curl/cookies. You will have to ensure the scripts works from my server (not just from your server). This might entail helping to install proper python packages and/or taking control of my server using Team Viewer if the script doesn't initially work on my server. Team viewer is the only way access will be given to the server should server access be needed. What I am asking to do here is not too uncommon of a task. you are welcome to use already written scripts and tailor them if that would speed up your development and delivery.
Skills: Python Numpy Facebook Development OAuth
Hourly - Expert ($$$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
Mid-level developer to help build and grow back end infrastructure. Need someone who is eager and excited by the idea of building systems to scale. Someone who wants to bring new technology and creativity to solving back end infrastructure issues or do Application Development in Python. Someone who wants to participate in building a market leading data analytics platform. 2-5 years of experience in Python (preferably) or comparable language BS or MS degree (Sciences, Technology, Engieneering) Knowledge of an RDBS Experience in a Linux environment Professional experience scaling software projects in an enterprise environment Extensive knowledge of Python libraries (SciPy, Numpy, etc)
Skills: Python Numpy Python Python SciPy
Fixed-Price - Entry Level ($) - Est. Budget: $500 - Posted
Hello! My name is Ryan. I am an online marketer with businesses in web design, local marketing, AdWords, office assistance and more. As our business grows, we're looking for someone to join the team full time as an administrative helper handling some of the following: -Email Management -Data Entry -Customer Support -Programming Tasks -Research We're looking for someone who is very comfortable switching tasks. Each day, you will receive instructions from us with the tasks to be completed that day. This email will come at 22:00 UTC and tasks should be completed (or made progress for bigger tasks) by 14:00 UTC. Each day you would receive instructions from us, complete your tasks, and send an updated report on the progress you made that day. The perfect candidate would have the following qualities: - Be very comfortable with English. While other jobs want English competency so they can communicate well, you will be tasked with managing email load in addition to communicating with our clients, so excellent skills are a necessary part of your position. - Have prior experience with Standard Operating Procedures (SOPs). Standard operating procedures are going to be your guide to the repeating tasks and are going to be yours to edit and build. That means that it will be your responsibility to create, update, and maintain these guides on how to complete and track your progress on each task. In your application, please discuss if you have used SOPs before and send an example of one you have edited. - Be available from 14:00 - 22:00. You are allowed to work any time in that span as long as you are completing your task. - Familiarity with the following is absolutely necessary: Wordpress, Gmail, Google Drive, Microsoft Excel, Google Analytics and Skype are the tools we will use in order to manage tasks and communication. - The IDEAL candidate would have the ability to assist on the programming side. Familiarity with Python, Web Development, and Excel (in that order) will be a huge boost to your potential to be selected for this position, salary increases, and bonus opportunities at the end of the year. In your application, please submit your code samples in Python, web site creation links you have worked on, and/or high level Excel sheets. The more the better. - Quick Task Understanding: since we will have several tasks for you, which will vary widely, your ability to quickly pick up the tasks quickly will be very important. We will be available for questions, but you should be able to work independently and use judgement in order to quickly complete the day's/week's tasks. Your application cover letter should discuss your qualifications based on the descriptions that we've written here. In it, please include projects you've worked on in the past, code samples, and send over a link or sample to a project you're very proud of. Also include a description of why you are proud of this project. If you are selected. If you don't have a link, you can share a story. This is a full-time position. We are looking for someone that will be able to work approximately 30-40 hours per week, with most work one between Monday-Friday. It is a salaried position, meaning that regardless of the tasks you will receive pay every two weeks. National holidays, vacation, working hours can all be discussed in the interview process.
Skills: Python Numpy Administrative Support General Office Skills Office Administration
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Currently I use a pivot table in Excel to analyse a database of historical trading results from an auction process (FTRs or Financial Transmission Rights). I want someone to create an Ipython notebook with annotations to better visualize the data and gain some incites into other participants behavior and any trends. Someone with experience in python and data analysis/visualization is key. Even better is using Anaconda or something similar.
Skills: Python Numpy Data Analytics Python Visualization
Fixed-Price - Expert ($$$) - Est. Budget: $400 - Posted
I need some help with creating and designing the website for a restaurant. I have some examples of the ideal look that the owner wants and the price can be negotiable if this work requires more effort. The owner would like a website that looks more modern and I can send you images of how they want the website to look like. In addition, we need the website to have an integrated system where customers can order and these orders will send notifications through fax, text, and phone call in order to notify the people at the restaurant to prepare the order. I would like to work with the developer in detail because I want the website to be just what the owner asked for. .
Skills: Python Numpy C++
Fixed-Price - Entry Level ($) - Est. Budget: $70 - Posted
I have several mql4 EAs that I would like to convert to Python. This is the first of many projects. The python code must work on Quantopian and you can read about it here: see below an example of python code on Quantopian: see below an example of python code on Quantopian: def initialize(context): """ initialize() is called once at the start of the program. Any one-time startup logic goes here. """ # An assortment of securities from different sectors: # MSFT, UNH, CTAS, JNS, COG context.security_list = [sid(5061), sid(7792), sid(1941), sid(24556), sid(1746)] # Rebalance every Monday (or the first trading day if it's a holiday) # at market open. schedule_function(rebalance, date_rules.week_start(days_offset=0), time_rules.market_open()) # Record variables at the end of each day. schedule_function(record_vars, date_rules.every_day(), time_rules.market_close()) def compute_weights(context, data): """ Compute weights for each security that we want to order. """ # Get the 30-day price history for each security in our list. hist = data.history(context.security_list, 'price', 30, '1d') # Create 10-day and 30-day trailing windows. prices_10 = hist[-10:] prices_30 = hist # 10-day and 30-day simple moving average (SMA) sma_10 = prices_10.mean() sma_30 = prices_30.mean() # Weights are based on the relative difference between the short and long SMAs raw_weights = (sma_30 - sma_10) / sma_30 # Normalize our weights normalized_weights = raw_weights / raw_weights.abs().sum() # Determine and log our long and short positions. short_secs = normalized_weights.index[normalized_weights < 0] long_secs = normalized_weights.index[normalized_weights > 0]"This week's longs: " + ", ".join([long_.symbol for long_ in long_secs]))"This week's shorts: " + ", ".join([short_.symbol for short_ in short_secs])) # Return our normalized weights. These will be used when placing orders later. return normalized_weights def rebalance(context, data): """ This function is called according to our schedule_function settings and calls order_target_percent() on every security in weights. """ # Calculate our target weights. weights = compute_weights(context, data) # Place orders for each of our securities. for security in context.security_list: if data.can_trade(security): order_target_percent(security, weights[security]) def record_vars(context, data): """ This function is called at the end of each day and plots our leverage as well as the number of long and short positions we are holding. """ # Check how many long and short positions we have. longs = shorts = 0 for position in context.portfolio.positions.itervalues(): if position.amount > 0: longs += 1 elif position.amount < 0: shorts += 1 # Record our variables. record(leverage=context.account.leverage, long_count=longs, short_count=shorts)
Skills: Python Numpy MetaTrader 4 (MT4) MQL 4 Python
Fixed-Price - Expert ($$$) - Est. Budget: $5,000 - Posted
Looking for the right development team to implement Python OpenCV project. Project specifics requires NDA, but is comprised of integrating standard computer vision and machine learning functions. I have high expectations in terms of professional TDD code, and am happy to provide a fully automated CI/CD release pipeline for the project. Chef Automate is the shiny new dev playground we use in house, but I like crafting systems to make devs feel like kids at Christmas, so tell me what would make your team flow like water. Im an old systems guy, that writes ML tools as part of automated infrastructure, because automate the automation... and it just makes sense for your infrastructure to dynamically self optimize across a set of cloud vendors for cost vs application transaction times, while staying within the logical constraints of high availability. To me, software is the act of coding instructions, adding complexity, in order to get something to function as intended. Systems is the act of combining things, reducing complexity, in order to get something to function as intended. Together they are DevOps, yin and yang, brick and mortar. Alone, they are like a car that can only turn one direction. If high speed, low drag, highly automated, software development of machine learning and computer vision components sounds like an interesting project, lets talk about what you bring to the project. Matt King CTO IUNU
Skills: Python Numpy Automated Testing Continuous Integration JavaScript