Conda rpathtrabajos

Necesito tutoría para una actividad de una materia de Ciencia de Datos de ambientes virtuales y API REST. En la actividad se requiere: Crea dos entornos usando virtualenv: uno que se llame “analisis”, instala el entorno de conda uno que se llame “api” e instala el marco de trabajo de Flask En el entorno de trabajo “api” instala las siguientes herramientas de Flask: Flask RESTful Swagger Adapta el modelo para que procese una sola observación de acuerdo a lo que se vió anteriormente.: Entra en el siguiente Sigue las instrucciones del archivo README de este repositorio Usa el código que está en la versión entregable_2 Modifica el código que está en el script Entrega un archivo zip con el co...

Necesito un programador que sepa python, conda, y sobre AI para hacer funcionar este proyecto nuevamente en mi maquina. Lean bien la descripcion en el link de lo necesario para hacerlo funcionar. Necesito un script o instrucciones precisas de como poder hacer correr esto en una OSX Ventura, chip M2.

Setup my computer as a server and provide access control to users logging in. provide access to conda environment, pycharm, specific folders. The system is in linux. Also, provide reboot and starting access. Architecture needs to be decided and done for this. Other computer online with appropriate access can log in to this server. The computer is of high specification and GPU.

...myself, but I'm at a loss now and could really do with a Python expert. I'm a novice so I need the fix and specfic step by step instructions to install and run. I will award the winner the money whoever is the first to do a screen shot of running it from 1. Setting up the Conda environment in VSC 2. Installing the script stack 3. successful initialization of the python program . Seeing dummy data put into the ui and a run or two of the process on the data. Finally, the step by step instructions how to set up the environment or conda or whatever. Once I have that and the code I am ready to pay and In all these contest I usually always give a tip. The draft code is attached below called and might work with flask. The other question and further refinement loop ma...

I'm looking for a Python expert who can assist me in fixing a draft amount of python code. It makes a call to the api and returns data. I will award the winner the money whoever is the first to do a screen shot of running it from 1. Setting up the Conda environment in VSC 2. Installing the script stack 3. successful initialization of the python program . Seeing dummy data put into the ui and a run or two of the process on the data. Once I have that and the code I am ready to pay and In all these contest I usually always give a tip. The draft code is attached below called and is run with flask. The other question and further refinement loop questions are I think or maybe they are called: , , , , ,

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I need someone that know Python, conda, y something about AI to make this project work in my computer Please check out the link before bidding, and make sure you think can make it work on OSX ventura with M2 chip. This would not be for commercial use, just personal, as I used to run this image processor for making sketches and images for personal work. So this is not to make money with third parties. If you read so far, please start the bid with the word "Prosepainter" Looking forward for you bids! Thanks

...command line = git clone 7. conda create -n automemgpt python=3.11.5 8. Select Y at the option prompt 9. conda activate automemgpt (once this is done then the cursor line changes from (base) (base) -> autogen_yt CHANGES to (automemgpt) (base) -> autogen_yt 10. do a pip install of by using the conda environment that was created. C:ProgramDataminiconda3 - m pip install pymemgpt pyautogen 11. Run the script 12. If succesful, the output should say “Let’s go Mario!” I am stuck at step "8." I can't get step "9." to work. I suspect its something to do with the path. Or could be configuration of the conda environment. Here is the git

...the command: pip install "ydata-synthetic[streamlit]==v1.1.0" - Ensure proper installation and functionality of the app Further instructions: The job is to install ydata-synthetic and its streamlit app UI remotely on my laptop using: pip install "ydata-synthetic[streamlit]==v1.1.0" For this job you will: Remotely login into my laptop & build the working solution. Create a virtual env using conda Active the virtual env Install ydata-synthetic and its streamlit-app UI Undertake ALL necessary steps taken to get the solution working Test it via localhost url, the test must show the full gui and it must be functional Write the steps you took to install ydata-synthetic in a file Done! I already have Anaconda and PyCharm installed on my laptop. This job re...

Good morning, I need someone familiar with the API of Collective 2. I need a code that reads orders from an Excel sheet and at a specified time of the day (specified in Excel), the orders are sent to Collective 2. If you bid, start your message with "Hi MVM". The environment to use is Python conda. BR, Vittorio

I am looking for a skilled developer who can help me migrate my current codebase from Google Cloud AutoML to Vertex AI. The ideal candidate should have experience with Python and be familiar with both platforms. Requirements: - Proficiency in Python programming. - Experience working with Google Cloud AutoML and Vertex AI - Proficiency in conda environment used currently - Use terrafrom for automation - Ability to migrate codebase from AutoML to Vertex AI. - Familiarity with machine learning and AutoML models. Responsibilities: - Review the existing codebase written in Python and assess its compatibility with Vertex AI. - Modify and update the code to ensure smooth migration to Vertex AI. - Ensure that the code is compatible with different datasets, as per the project requirement...

quick bug fix: installation is over AWS ubuntu instance. HTTP 000 CONNECTION FAILED for url < Note: text-generation-webui is installed properly and it runs on aws with NO issue. There is small patch to install documented here library (4-bit-mode).md. The successful installation of patch will cover the scope of task for loading 4 bit ML model.

...of A- PyTorch Video Diffusion model, can be a simplified/stripped down version of one of these two codebases applied to moving MNIST. This codebase works RaMVID B- datascience / ML Dockerfile - Dummy variables for user/cluster info - Can scale number of GPUs - nvidia CUDA and cuDNN version changeable (FROM an nvidia image is fine) - conda package management - only torch necessary, but include lines with comments for other installations Stripped down/simplified Project structure should be - Dockerfile - - - - - - code - - other_files - ... Notes - All input variables must be contained in the yaml files and logically ordered

I need help to install Postgresql into my Macbook with chip M1 using brew in my venv with conda I get this error: Error: postgresql@14 dependencies not built for the arm64 CPU architecture: pkg-config was built for x86_64 icu4c was built for x86_64 ca-certificates was built for x86_64 openssl@1.1 was built for x86_64 readline was built for x86_64

I have a python flask app which runs locally and uses sqllite db and Conda environment. I want to deploy it to Heroku. I have a Heroku account but didn't use yet. I need help from someone to speed things up. I may switch to other db which is available from Heroku such as Postgres. I can cover the db creation part to help. I have a domain name in anothe web hosting, so, if possible I want this app to have the same domain name.

As discussed in the chat. Create a conda environment based on the poker bot from Github and export it to send it to you

Creating a Conda environment and working on computer vision tasks like image segmentation models are currently requirements of my work. I need an expert to set up the environment, install the necessary libraries, and GPU connectivity. I'm a researcher with a background outside of IT.

• Cloud computing - AWS, Azure, Google ( will share list of specific topics later because we know the subject is very vast and we dont want to do everything) - Comparisons between the three • Singularity / Docker containerization (& how it works on different systems) • Conda versioning You dont have to know all of these but when you bid, let me know you which one or more are your area of expertise. You must have solid experience building training videos and materials (something I would always validate before assigning the project). You would be building the training course on our platform (we have homegrown learning management system). Typically, we will define the syllabus (each subject will have a unit, and each unit will...

We want to start a new project at our university. We need programmers who can advise us on our project. DARTS Time Series Made Easy in Python PyPI version Conda Version Supported versions Docker Image Version (latest by date) GitHub Release Date GitHub Workflow Status Downloads Downloads codecov Code style: black Join the chat at darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and

Need an expert who is well versed with python codes with conda environment. Ide is Pycharm. The expert also need to use data using machine learning algorithms with modern tools in Python.

Grasp Objects in Pybullet Environment 1. Project Objective • Get familiar with 3D robot simulation • Understand intelligent robot programming • Apply inverse kinematics algorithm in simulated environment 2. Project Steps 1. Install pybullet with Anaconda (recommended) ◦ Install Anaconda: ◦ Install Pybullet: 2. (If you have done the first step, please ignore) Install python3 (optional) Setup the python3 environment on your system. ◦ Windows 10: ▪ ◦ Mac: ▪ ◦ Ubuntu 16.04: ▪

Looking for someone familiar with Conda to assist in debugging an error that only occurs after the project is ran through a packager. Module no longer is found.

somehow I broke my python anaconda installation. To fix it, is probably not a big deal for an expert but for me. My computer runs on windows 10.

there is a command "conda pack" called that was working previous to the miniconda 4.12 update, that is not giving the message: Conda Pack Error Files managed by Conda were found to have been deleted or overwritten in the following packages -setuptools 65.3.0 EXACT MESSAGE Conda Pack Error Files managed by Conda were found to have been deleted or overwritten in the following packages -setuptools 65.3.0 No changes to code but updated miniconda to 4.12.0 Can you help me ? If so great; there is a 2nd project and milestone if you get this done let me know your thoughts and any questions While this is hourly; there is a max of $15 that I can pay, as being a cancer patient is tuff and been out of work. Hourly will give you more $ as the...

...have Prior experience as a data engineer, software engineer, or data scientist Experience working in data scientist teams as a DevOps supporting ML learning and ETL projects. Experience deploying infrastructure in highly regulated environments such as financial services, medicine, and government agencies. Experience with standard Python/R data science tooling and libraries such as JupyterHub, conda, pandas, Shiny, etc… Conversational Japanese is nice to have but not required....

Build virtual environments on AWS Sagemaker Notebook Instances with libraries and Pycaret module. Note: virtual environments should persist between sessions and not be wiped off when a session is closed. Some helpful links: @haridada07/creating-persistent-python-kernels-for-sagemaker-63993138ae50 Delivery: 1 day Work environment: can connect on any meeting platform and give access to the console.

I need help adding a file to Anaconda. I do not know how to add this. Here are the instructions below from jamescalam/transformers Using Download the for the course. In Anaconda prompt, navigate to the directory containing the and write conda env create -f environment.yaml. Activate the new environment with conda activate ml. Move onto the Installation of PyTorch section.

I am on windows. You will need to help be guide through the following: - Create new conda environment or something - Build pyqt application with pyinstaller - Make sure that it runs locally and on MAC - I have all the code and understand how it works, I just don't have experience with PyQT You need: - Clearly communicate on screen share If successful: Looking for a longer term partner to develop this pyqt app with

The Goal: Detect and Count number of teeth on the excavator bucket - see image attached. The Task: 1. Take video dataset (6 videos) provided by me and label it using ...number of teeth on the excavator bucket - see image attached. The Task: 1. Take video dataset (6 videos) provided by me and label it using feely available tools (LabelMe, LabelImg). 2. Build a deep neural network (semantic segmentation or object detection) to recognize excavator bucket teeth. 3. Train the network. 4. Test and show detection results as on the image attached. Deliverables: 1. Conda/Python environment specification. 2. Python script that loads labeled data, defines and trains the network 3. Labeled dataset and instructions how to label 4. Python scripts that runs and detects teeth on the new vide...

I have a Python library on a github repository () and I want to make it more accessible to the public and bringing it to the current standards for installation and maintainability. More specifically I am asking for a release procedure made of: -...it to the current standards for installation and maintainability. More specifically I am asking for a release procedure made of: - a document describing what I have to do when I want to release a package update, which includes the following steps - continuous integration on github, including doctests - keep version number updated everywhere - running tests with pytest - installation by pip and conda-forge - documentation on readthedocs, starting from md, rst and ipynb files, and including API from docstrings

I need a dockerfile written. The dockerfile will create an image that runs - a fastapi app (python 3.9) The fastapi uses some dlls and needs - .net 4.6 on the image - install IQ DataFeed -- -- Mini conda is needed for the requirements file You will provided a zip with the python api (including dlls). Acceptance is that the dockerfile builds the image and the image can be run. Would like the file completed in 1-2 days

I need a dockerfile written. The dockerfile will create an image that runs - a fastapi app (python 3.9) The fastapi uses some dlls and needs - .net 4.6 on the image - install IQ DataFeed -- -- Mini conda is needed for the requirements file You will provided a zip with the python api (including dlls). Acceptance is that the dockerfile builds the image and the image can be run.

Complete implementation by 4pm GMT today. Implement and document a REST API Using Python/Flask/REST API/swagger/openAPI/pydantic Validation of inputs There are 3 API calls. Implement on an ubuntu server with python Use pip/conda to install. Deliverables: 1. python code for client and server: PEP8 compliant and good naming. 2. automatically generated documentation 3. installation instructions to replicate elsewhere

we have a python automation script that generate folders using data from MySQL and we are needing the following help from developer who is familiar with conda and python: - assistance with fixing minor errors - looking to re-compile the code to add more error descriptions - assisting in developing the code and cleaning up redundant commands etc.

Hola quiero poner la terminal de ubuntu en windows e instalar conda. Cuando he intentado mover con cd a otra carpeta qu eno sea root no me deja. Soy estudiante y no puedo pagar mucho . 10 euros. En 5 minutos de llamada creo que esta hecho :)

I have installed Miniconda3 and setup linux shell on windows. But unfortunatly, I cannot figure out how to add the same Miniconda3 path onto the linux shell that exists on my windows command path.

we want to install the glibc_2.18 into the centos 7 server , we already have the multiple versions on the server but our application needs this dependancy . The most important thing to be noted is that the newer version 2.18 once installed then it should not take down the server and should not impact the ongoing behaviour of the other process run...confident to get the solution worked for this . We have already tried the below mkdir /glibc_install; cd /glibc_install wget tar zxvf cd glibc-2.18 mkdir build cd build ../configure --prefix=/usr make -j4 make install export LD_LIBRARY_PATH=/usr/ patchelf --set-interpreter /opt/glibc-2.18/lib/ld-linux-x86-64.so.2 --set-rpath /opt/glibc-2.18/lib:/usr/lib64

Script will read from local hard drive minute csv file. Example of files: Selection of date and time period for testing - Jupyter widgets: Date picker - for day SelectionRa...buy - sell: % = (price sell - price buy)/price buy * 100 Formula for short - close: % = (price short - price close)/price close * 100 Short is borrow, close is repay. For selected period script will add all percentages of buy-sell and short-close values. This will be printed as two separate results. P.S. talib installation in anaconda: 1. open power shell prompt as administrator 2. run: conda install -c conda-forge ta-lib

Script will read from local hard drive minute csv file. Example of files: Selection of date and time period for testing - Jupyter widgets: Date picker - for day Selecti...sell: % = (price sell - price buy)/price buy * 100 Formula for short - close: % = (price short - price close)/price close * 100 Short is borrow, close is repay. For selected period script will add all percentages of buy-sell and short-close values. This will be printed as two separate results. P.S. talib installation in anaconda: 1. open power shell prompt as administrator 2. run: conda install -c conda-forge ta-lib

... • Develop Python data transformation modules to load data into various targets including Redshift, Teradata and Snowflake. Experience extracting data from API’s using Python. • Develop the Python ETL framework for loading data into relational databases. • Extensive knowledge Python Data manipulation libraries (Pandas, numpy, petl etc) Knowledge of Python development environment pip, Conda, Jupyter notebooks Conversant with design best practices for large volume data handling in python Knowledge optimizing the process by parallelization in python. • Experience in end to end design implementation of Python projects Knowledge of build process of Python projects and various devops strategies around this Demonstrates basic understanding of data ...

Install Conda onto cPanel. This is the task ahead.

...follow the open source Python community and especially security vulnerabilities (OWASP) in widely user open source components Detailed knowledge of several Python frameworks and technologies (e.g. Anaconda, Django, Flask) Detailed knowledge of several Open Source Libraries (e.g. TensorFlow, Numpy) Strong development background in Python Experience with CI tools (Jenkins, TeamCity) and Build tools (Conda, virtualenv, pip) Responsibilities You will architect/develop/support enterprise scale systems/tools/frameworks/libraries, implement new tools and processes in CI/CD space for global use across CLIENT's Technology groups You will provide Unix/Linux development tool subject matter expertise to the application development communities at CLIENT You will proactively identify and...

Using python libraries like pandas, matplotlib and others, generate an analysis in a live sesion (1.5 hours at most) via google meet or zoom, in VisualStudio Code with Conda.

I'm creating the following package The package is already in PIP but now I need to make the package available in Anaconda with `conda install` command. As you can see in Github I'm using librarys many libreryes to create the package as for example: * Cython * Tensorflow After making the package available with Anaconda the PIP must continue working perfectly.

Programming using In-built python functions (Help: and pip commands to install it in a conda environment): [please use appropriate documentation for each program] Numpy: 1. Explore at least 20 numpy functions and write useful scripts using them. Pandas: 2. Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: 3. Explore at least 10 scipy functions and write useful scripts using them. Pendulum/Arrow/Time: 4. Explore at least 3 pendulum/time functions and write useful scripts using them. MoviePy: 5

Programming using In-built python functions (Help: and pip commands to install it in a conda environment): [please use appropriate documentation for each program] Numpy: 1. Explore at least 20 numpy functions and write useful scripts using them. Pandas: 2. Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: 3. Explore at least 10 scipy functions and write useful scripts using them. Pendulum/Arrow/Time: 4. Explore at least 3 pendulum/time functions and write useful scripts using them. MoviePy: 5

...directions below.) If you want to work outside of the Udacity classroom, the following software requirements apply: You need to be able to work in a Jupyter Notebook on your computer. Please revisit our Jupyter Notebook and Anaconda tutorials earlier in the Nanodegree program for installation instructions. The following packages (libraries) need to be installed. You can install these packages via conda or pip. Please revisit our Anaconda tutorial earlier in the Nanodegree program for package installation instructions. pandas NumPy requests tweepy json You need to be able to create written documents that contain images and you need to be able to export these documents as PDF files. This task can be done in a Jupyter Notebook, but you might prefer to use a word processor like Goo...

Hello, I have a Python script that I created used Anaconda > Spyder application, works fine in Spyder, and I would like to automate it and run every hour at hh:00. I have read I have to create a bat file, activating conda environment and then use task scheduler (I am on Windows). I am not an expert and I would need assistance doing this (note: the python script takes action according to a dataset created in R, the R script for the creation of the dataset has been automated and currently runs correctly every hour, I have tried to call the python script directly within R, but it fails)

...e/dev Python and Javascript/React - Material UI LedFx is an opensource project, have a look at the Windows Exe: LedFx REST API: LedFx Documentation: & , Developers I suggest using: Expected Outcome: Part 1: Add QLC+, Part 2: Spotify integration, Part 3: WLED Info (If we have time/budget) Note Preset is the same as a Scene. Background of part 1 QLC+ Have made a start creating QLC+ integration with LedFx on https://github.com/Mattallmighty/LedFx/tree/QLC+ trying to get: QLC+ documentation:

Hi there! We are looking for a data scientist freelancer to develop an outlier/anomaly/novelty detection model. We'll provide a significant dataset of not labeled data hence the use of unsupervised techniques is a must. The acceptanc...founded by the model could be reasonably explained - The model will be tested with data that it has not seen before Deliverables: - A sheet with the detected outliers by the model for the provided data. This sheet should have the columns: id_row, number_column, why (e.g. Column 6 is drastically far from the mean of the data) - Notebook or python script with all the steps in order to get the results - Conda enviroment file .yml used test data can be readed with pandas.read_pickle("",compression="gzip"). The returned object is ...