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...нескольких периодов. Тестирование новых идей: Возможность внедрения новых стратегий на демо-счете. Ожидаемый результат: Бот должен быть полностью автоматизирован, учитывать динамические параметры (риск, тейк-профит, стоп-лосс), работать только на бирже Bybit и обеспечивать максимальную прибыльность при соблюдении разумных рисков. Вот основы для написания кода: import ccxt import pandas as pd import numpy as np from telegram import Update, Bot from import ApplicationBuilder, CommandHandler, ContextTypes from sklearn.linear_model import LinearRegression import time import logging import asyncio import talib # Логирование (level=, format="%(asctime)s - %(levelname)s - %(message)s") logger = (__name__) # Настройки API и токенов API_KEY =

I'm facing issues with deprecated functions in Numpy, specifically during data preprocessing in my Google Colab notebook. I need a skilled Python programmer with experience in data processing and familiarity with Numpy to help resolve these issues.

...e waarden zijn. • Kies zelf vijf sporten uit en verwijder de observaties voor alle andere sporten uit je dataframe. Let op: verwijder ze enkel uit je dataframe (i.e. de gegevens in het intern geheugen) en niet uit je volledige dataset (i.e. de folder op je harde schijf). • Splits je dataframe op in een training, test en validatie set. • Vorm elk van deze dataframes apart om tot twee Numpy arrays: o De eerste array heeft dimensie (N, H * W * C), waarbij N het aantal observaties, H de hoogte in pixels, W de breedte in pixels en C het aantal kleurkanalen voorstelt. Deze array bevat voor elke observatie een ééndimensionale array met daarin de pixelwaarden van de bijhorende afbeelding. o De tweede array heeft dimensie (N) en bevat het o...

...provide guidance on best practices and methodologies. Qualifications: Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. Experience: 5+ years in data science or related roles, with a proven track record of handling high-pressure projects. Technical Skills: Advanced proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn). Extensive experience with Generative AI and model deployment. Deep understanding of Agile methodologies and proficient use of Jira. Soft Skills: Exceptional problem-solving abilities and resilience under pressure. Strong leadership and mentoring skills. Excellent communication and collaboration capabilities in a remote ...

...candidate eager to showcase their Python expertise, understanding of generative AI, and experience in agile project management using Jira. If you thrive under challenging conditions and can deliver impactful results on a condensed timeline, we’d like to work with you. Key Responsibilities: Conduct data analysis and develop machine learning models using Python, including libraries like Pandas, NumPy, and scikit-learn. Apply Generative AI techniques to innovate and enhance project solutions. Participate in Agile sprints, collaborating on regular sprint cycles and using Jira for task management and project tracking. Communicate project progress, address challenges, and adapt to evolving project needs in a remote environment. Ideal Candidate Profile: Expe...

I'm looking for a skilled data scientist proficient in Python to assist with a comprehensive data analysis project. Key Requirements: - Proficient in Python with a strong focus on data analysis libraries (e.g., pandas, NumPy). - Experienced in handling structured data, particularly CSV files. - Capable of extracting meaningful insights from data. The project primarily involves working with structured data from CSV files. Your main task will be to help me analyze this data, identify trends, and provide insights. The ability to interpret complex data and communicate findings clearly will be crucial for the project's success.

I'm seeking an experienced Python developer with a deep understanding of algorithmic trading to build a project tailored to day trading. This project will leverage real-time market data to implement efficient trading strategies. Key Requirements: - Proficiency in Python and its libraries relevant to data analysis and trading, such as Pandas, NumPy, and Matplotlib. - Experience in developing trading algorithms, specifically for day trading. - Knowledge of utilizing and interpreting real-time market data. - Understanding of algorithmic trading strategies. Ideal Candidates: - Have a portfolio of similar trading projects. - Strong problem-solving skills and attention to detail. - Can deliver timely updates and communicate effectively.

I am looking for help, modifying this GitHub project to suit my needs. this is an extension of the this project (which supports one actor) Mostly I need to be able to modify the preprocessing step by either skipping it entirely and injecting my own camera and character data or also having the option to the ...GitHub project to suit my needs. this is an extension of the this project (which supports one actor) Mostly I need to be able to modify the preprocessing step by either skipping it entirely and injecting my own camera and character data or also having the option to the preprocessing camera and rig data. I believe it is all in numpy format.

...learning models. Serverless Functions: AWS Lambda or Google Cloud Functions for scaling AI models on-demand. CI/CD Pipeline: Docker, Kubernetes, Jenkins for automated testing, deployments, and updates. e. AI Tools & Libraries AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn for model development. NLP: spaCy, GPT models for natural language processing and content generation. Data Analysis: Pandas, NumPy for data processing, and training AI models. 5. Future AI Enhancements AI-Powered Trip Recommendations: Continually improve trip planning using machine learning to optimize for user preferences, weather conditions, and location popularity. Automated Content Generation: Leverage GPT models for dynamic content creation, including blog posts, guides, and personalized itinerari...

We are seeking an experienced software development team to build a custom platform for agricultural research and soil health...soil health and yield based on historical data, weather patterns, and microbial analysis. ________________________________________ Technical Requirements: • Frontend: React.js, Vue.js, or Angular for an interactive user interface. • Backend: Node.js, Django, or Ruby on Rails. • Database: PostgreSQL or MySQL, with MongoDB for semi-structured data if needed. • Data Analysis: Python (Pandas, SciPy, NumPy) or R for statistical analysis. • Visualization: D3.js, Plotly, or Chart.js. • Deployment: AWS, Google Cloud, or Azure. Project Timeline: Please provide an estimated timeline, ideally broken down into phases for MVP, data integrati...

...·        • TensorRT (for inference optimization): tensorrt 3. RAPIDS Suite for Data Processing on GPU ·        • cuDF: GPU DataFrame manipulation similar to pandas. ·        • cuML: GPU-accelerated machine learning library. ·        • cuGraph: GPU graph analytics library. ·        • cuSpatial: Spatial analytics on the GPU. 4. Data Manipulation and Preprocessing ·        • pandas: pandas ·        • NumPy: numpy &midd...

I'm looking for an experienced Python developer who is proficient with the Pandas and Numpy libraries. The main focus of this project will be on data manipulation. Key requirements: - Extensive experience in Python development. - Proficiency with Pandas and Numpy libraries. - Strong skills in data manipulation techniques. - Prior experience in working with large datasets. - Ability to deliver clean, efficient, and well-documented code. If you have a keen eye for detail and a passion for Python, I would love to hear from you. The dataset primarily involves financial data.

My task is involves correcting weather forecasts using observed data to improve the accuracy of predictive models, specifically the **WRF** (Weather Research and Forecasting) model outputs. You aim to adjust the biases between forecasts and observed data across multiple weather stations, following several days of data to apply corrections based on previous-day biases. ...Implement techniques to optimize the bias correction algorithms for efficiency and accuracy. The goal of this task is to improve the accuracy of weather forecasts by adjusting original predictions to better align with observed data. This contributes to refining predictive models and achieving more reliable and accurate weather forecasts. The project will utilize Python with libraries such as NumPy, pandas, and M...

...·        • TensorRT (for inference optimization): tensorrt 3. RAPIDS Suite for Data Processing on GPU ·        • cuDF: GPU DataFrame manipulation similar to pandas. ·        • cuML: GPU-accelerated machine learning library. ·        • cuGraph: GPU graph analytics library. ·        • cuSpatial: Spatial analytics on the GPU. 4. Data Manipulation and Preprocessing ·        • pandas: pandas ·        • NumPy: numpy &midd...

Required Skills & Qualifications: Strong proficiency in Python or R, with experience using machine learning libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. Expertise in data manipulation and analysis with Pandas, NumPy, and SQL. Experience in time series analysis and forecasting models (e.g., ARIMA, Prophet, LSTM). Deep understanding of aviation principles, including aircraft performance metrics, flight dynamics, and safety protocols. Knowledge of probabilistic modeling, risk assessment, and predictive maintenance techniques. Familiarity with big data processing frameworks like Apache Spark and cloud platforms (AWS, Google Cloud, Azure). Strong problem-solving skills, with the ability to think critically and interpret complex data sets. Excellent communication...

I am working with a numerical dataset and I require an expert to help preprocess and train it using Python libraries such as Pandas and Numpy. Specific tasks include: - Handling missing values: I need the missing values in the dataset to be imputed with the mean, median, or mode. Ideal candidates for this project should have: - Extensive experience with data preprocessing and machine learning. - Proficiency in using Python and its libraries, particularly Pandas and Numpy. - Ability to train a dataset effectively.

I need assistance setting up a Windows-based GPU-accelerated Conda environment using an NVIDIA GPU. The setup should include the installation of all necessary libraries, with a specific focus on TensorFlow. Key Requirements: ThunderSVM:** For GPU-accelerated support vector machines (SVM CuPy:** A NumPy-like library for GPU-accelerated operations. RAPIDS,Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. CUDA Toolkit,Ensure the correct version compatible with all frameworks and my GPU *cuBLAS / cuML,For machine learning operations (part of RAPIDS). *Dask:** For scaling computations across multiple GPUs. TensorFlow and TensoRT / PyTorch,For deep learning with GPU acceleration. *NVIDIA Apex ,For optimizing PyTorch with mixed precisio...

I'm looking for a skilled developer to create...profit, driven by ATR x4 (or configurable ATR-based levels). 6. Strategy Logic: o Use sMACD and EMA or RSI as the initial strategy:  Go Long when macdValue > macdSignal and RSI > 50.  Go Short when macdValue < macdSignal and **RSI < 50`. - Ability to trade 24X7 Ideal Skills and Experience: - Proficiency in Python and experience with its libraries for data analysis and trading (like Pandas, NumPy, etc.) - Previous experience in developing trading bots, particularly for IBKR. - Understanding and practical experience with trend-following trading strategies. - Knowledge in implementing risk management tools within a trading bot. Please only apply if you have relevant experience and can provide examples of similar pro...

...duplicating existing mathematical formulas and creating clusters of pre-named functions in the provided Python code. The end goal is to produce a CSV file containing the processed data. Ideal skills and experience for this job include:  - Python Developer for Data Extraction, Web Scraping, Automation, and API Integration - Proficiency in Python and data scraping libraries/ (Pandas, Openpyxl & Numpy) - Data Extraction & Web Scraping: Mastering the art of gathering data from dynamic websites, PDFs, and more using tools like Scrapy, Selenium, and Beautiful Soup. - Automation: Designing custom bots and scripts to automate repetitive tasks, streamline processes, and enhance productivity.- Experience with data manipulation and analysis - Back-End Development - U...

I'm looking for a skilled Python developer to create a Python application for data analysis. The primary purpose of this application is to analyze numerical data from a database. Key requirements include: - Proficiency in Python with a strong focus on data analysis libraries (like pandas, NumPy, etc.) - Experience with database management and data retrieval - Understanding of numerical data analysis techniques - Ability to create efficient, reliable, and user-friendly applications - Strong problem-solving skills and attention to detail Frequent communication and updates will be important throughout the project. You should be able to explain complex concepts in a simple manner, as I want to be actively involved in the analysis process.

I'm in need of a Python specialist to help with data analysis, specifically exploratory data analysis (EDA). The data in question is primarily unstructured, including text and images. Skills and Experience Required: - Proficiency in Python, especially libraries related to data analysis (e.g., Pandas, NumPy, SciPy) - Strong experience with EDA - Familiarity with handling unstructured data - Skills in data visualization techniques - Prior experience with text and image data preferred

need a Python developer with experience in Streamlit and QT5 to convert my existing QT5 data visualization app into a Streamlit app. The conversion should maintain the original app's menu and ensure high-quality results. Key Requirements: - Conversion of a QT5 data visualization app to Streamlit - Ret...original app's menu - High-quality output Ideal Skills and Experience: - Strong programming skills in Python - Proficient in using Streamlit and QT5 - Previous experience with data visualization apps - Attention to detail for menu accuracy and output quality Ideal Skills and Experience: - Proficient in Python - Experience with a variety of Python projects - Familiarity with Django/Flask, Pandas/Numpy, and Scrapy/BeautifulSoup is a plus - Ability to adapt and learn new techn...

I am looking for a proficient Python developer who specializes in data analysis. The primary goal of this project is to analyze various business-rela...project is to analyze various business-related data, specifically focusing on ESG (Environmental, Social, and Governance) funds. Key Responsibilities: - Utilize Python to analyze ESG funds data - Identify patterns, trends, and insights from the data - Provide comprehensive reports based on the analysis Ideal Skills: - Proficiency in Python, particularly in data analysis libraries (like pandas, NumPy, etc.) - Experience in analyzing financial or ESG funds data - Strong analytical and problem-solving skills - Ability to present data insights in a comprehensible manner Please provide examples of similar projects you have completed in...

only for Spanish speakers. Lambda, ECS, S3, SNS, GLUE, ATHENA, RDS, IAM, CLOUDFORMATION). - Version control (GIT, CI/CD). - Python 3. - Spark. - Libraries: Pandas and NumPy. - Communication skills. - ETL/ELT ingest process. - Relational databases. - Data Modelling - AWS Step Functions - Web/API integration - Agile methodologies (Scrum) - Any AWS certification

...I need compiled into a Windows .exe file using PyInstaller. The code and all dependencies are already set up, and I am not looking for any modifications to the program itself—just a successful compilation into a standalone executable. Requirements for Compilation: 1. Python Version: The project needs to be compiled using Python 3.10 (or potentially Python 3.9). 2. Libraries: a. NumPy: The project depends on NumPy, and the build must include all necessary .pyd files like _multiarray_umath.pyd. b. PyInstaller: The output should be a single .exe file generated using PyInstaller, which includes all dependencies. c. Other libraries like screeninfo may also be required, but they will be installed as part of the normal Python setup. 3. Build Environment: The build...

Inputs - directory of CSVs, 500mb each (total size of around 4.5TB) containing both features and 1 target variable - both features and target variable are continuous variables 1. Create a script to train on the large dataset with the following implementation requirements: a. this is regression task b. use for da... i. a simple ANN (with dense layers and LeakyReLU activation function) ii. a LSTM model for assuming this is a multivariable time series regression problem) 2. Create a 2nd script to load the trained model above and evaluate it on a directory of test CSVs a. also use b. propose how you would handle the preprocessing step for the test data 3. Document code in NumPy style ()

I'm seeking a proficient Python developer / Pinescript developer with a strong background in algorithmic trading to create a trading bot fo...be able to test its strategy against historical data to optimize performance. - Real-time Data Analysis: The bot needs to assess market conditions and execute trades based on its analysis in real-time. - Risk Management Controls: It's crucial that the bot includes risk management measures to safeguard investments. Preferred Libraries/Frameworks: - Pandas: For data manipulation and analysis. - NumPy: For numerical computations. - TA-Lib: For technical analysis. Ideal candidates should have extensive experience in Python, algorithmic trading, and the aforementioned libraries. A deep understanding of trend following strategies is a si...

Project Overview: Looking for a skilled freelancer to assist in developing a web-based backtesting software specifically designed for the Indian stock market. The software will all...tokens, or similar protocols. Develop user roles for different levels of access (e.g., admin, traders, viewers). Performance Optimization: Proficiency in optimizing backtesting engines to handle large data sets efficiently. Experience in running multi-threaded or distributed backtesting to ensure scalability and faster results. Desirable Skills: Experience with financial libraries like Pandas, NumPy, and TA-Lib for strategy development. Knowledge of cloud-based logging and monitoring tools (e.g., Prometheus, Grafana). Prior experience building trading platforms or financial software would be highly adv...

1. Sales Performance Dashboard Overview: Developed an interactive dashboard to analyze sales performance across different regions and product lines. Tools Used: Python (Pandas, NumPy), Power BI Key Features: Visualizations of sales trends over time Comparison of sales performance by region and product Filtering options for deeper insights 2. Customer Segmentation Analysis Overview: Conducted a customer segmentation analysis to identify distinct groups within a customer base for targeted marketing. Tools Used: Python (Scikit-learn, Matplotlib), Power BI Key Features: Applied K-means clustering to segment customers based on purchasing behavior Created visual profiles for each segment in Power BI Provided actionable recommendations for targeted marketing strategies 3. Social Medi...

...goanywhere git:(main) ✗ python Traceback (most recent call last): File "/Users/erich/Documents/career-develop/career-pipeline-data/goanywhere/", line 1, in <module> import pandas as pd ModuleNotFoundError: No module named 'pandas' ➜ goanywhere git:(main) ✗ pipx install pandas --force Installing to existing venv 'pandas' Note: Dependent package 'numpy' contains 2 apps - f2py - numpy-config ⚠️ Not removing existing venv /Users/erich/.local/pipx/venvs/pandas because it was not created in this session No apps associated with package pandas. Try again with '--include-deps' to include apps of dependent packages, which are listed above. If you are attempting to install a library, pipx should not be used. Consi...

I'm in need of a proficient Python developer. The project involves constructing a Python application from scratch, primarily for data analysis. Key responsibilities will include: - Utilizing numpy and pandas modules for data manipulation and analysis. - Migrating an existing Airflow Directed Acyclic Graph (DAG) written in Python to Google Cloud Platform's (GCP) Composer. Ideal candidates should possess strong experience in: - Python programming with a focus on data analysis. - Working with numpy and pandas modules. - Migrating Airflow DAGs to GCP Composer. - Handling data from databases and APIs. The application will be primarily dealing with SQL databases, but experience with NoSQL databases is a plus. Please note that the application will need to interact with...

...predictions. Self-Learning Models: Implement AI models (e.g., regression models or deep learning models) that continuously learn from new data, providing increasingly accurate predictions over time. User Feedback Integration: Collect user feedback on predictions to further fine-tune the AI model. Skills Required: Python and Flask/Django for the backend (file handling, data extraction). Pandas or NumPy for processing Excel data. PyMuPDF or pdfplumber for extracting text from PDFs. OpenCV and Tesseract for image analysis (floor plan scanning and data extraction). Machine Learning: Experience with scikit-learn, TensorFlow, or PyTorch for AI model development (price prediction and trend analysis). PDF Generation: Familiarity with ReportLab or WeasyPrint for generating downloadable qu...

I urgently need a simple Python mini-program that utilizes Object-Oriented Programming principles and the NumPy module for data analysis of text data. The program should be capable of making predictions/forecasts based on the data. Ideal skills and experience for this job include: - Proficiency in Python and Object-Oriented Programming (POO) - Experience with the NumPy module - Strong skills in data analysis, specifically with text data - Ability to create programs that can make predictions/forecasts - Urgency and ability to deliver quickly Please refer to the attached screenshots for specific requirements and scope of the project. I look forward to receiving your quotes. IMPORTANTE: HABLAR ESPAÑOL NATIVO, ADJUNTO ENUNCIADO

I'm in need of a proficient Python developer. The project involves constructing a Python application from scratch, primarily for data analysis. Key responsibilities will include: - Utilizing numpy and pandas modules for data manipulation and analysis. - Migrating an existing Airflow Directed Acyclic Graph (DAG) written in Python to Google Cloud Platform's (GCP) Composer. Ideal candidates should possess strong experience in: - Python programming with a focus on data analysis. - Working with numpy and pandas modules. - Migrating Airflow DAGs to GCP Composer. - Handling data from databases and APIs. The application will be primarily dealing with SQL databases, but experience with NoSQL databases is a plus. Please note that the application will need to interact with...

I need assistance in setting up my environment with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed ...

...for a project focused on robust edge and contour detection in photographs. The main goal is to develop and implement a spatiotemporal model of edge detection, capable of filtering out noise and enhancing image quality for further analysis. Ideal skills include: Extensive expertise in image processing and computer vision Proficiency in Python and relevant libraries (e.g., OpenCV, scikit-image, NumPy) Familiarity with advanced edge detection techniques, such as Canny edge detection, and spatial-temporal filtering models Understanding of multiscale filtering (e.g., Difference-of-Gaussians) and variance-based temporal integration Experience in handling and processing a variety of images, including those with added noise The objective is to enhance image quality through tailored fil...

I need assistance in setting up my environment with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed precision t...

I'm seeking a skilled Python developer with a strong understanding of finance and data analysis. The project involves: - Deve...developer with a strong understanding of finance and data analysis. The project involves: - Developing Python code to analyze historical stock market data. The primary focus will be on identifying trends, patterns and making predictions based on this analysis. The ideal freelancer for this project should have: - Proficiency in Python, particularly in libraries used for data analysis such as Pandas, NumPy, Matplotlib, etc. - Strong understanding of finance and stock market dynamics. - Experience in coding for data analysis in Python. - Ability to interpret data and provide insights. If you have the necessary skills and experience, I look forward to...

I'm seeking a data analyst specializing in predictive analysis and machine learning model design. My primary focus is on classification tasks using structured datasets. Key Responsibilities: - Conduct data analysis with the aim of predictive analysis - Design ...classification tasks using structured datasets. Key Responsibilities: - Conduct data analysis with the aim of predictive analysis - Design and implement machine learning models for classification - Use technologies such as Python, Anaconda, Power BI, R or Streamlit Ideal Skills: - Proficient in Python, Anaconda, Power BI, R or Streamlit - Experienced with data analysis libraries such as Pandas, Numpy, Matplotlib, Seaborn - Expertise in predictive analysis and machine learning model design - Skilled in working with ...

I need assistance in setting up my environment with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed precision t...

Don't apply unless you are not in the U.S.! I'm seeking a skilled data analyst to assist with data analysis tasks, provide tutoring on Python (Pandas, NumPy), and aid in report preparation. The ideal freelancer would have a strong background in descriptive statistics, predictive modeling, and data visualization. Key Responsibilities: - Assist in analyzing data - Provide guidance on data analysis tools - Help prepare reports and presentations Ideal Skills: - Proficient in Python (Pandas, NumPy) - Strong background in data analysis - Excellent communication and teaching skills

I'm looking for a skilled developer to crea...and a take profit, driven by ATR x4 (or configurable ATR-based levels). 6. Strategy Logic: o Use MACD and RSI as the initial strategy:  Go Long when macdValue > macdSignal and RSI > 50.  Go Short when macdValue < macdSignal and **RSI < 50`. - Ability to trade 24X7 Ideal Skills and Experience: - Proficiency in Python and experience with its libraries for data analysis and trading (like Pandas, NumPy, etc.) - Previous experience in developing trading bots, particularly for IBKR. - Understanding and practical experience with trend-following trading strategies. - Knowledge in implementing risk management tools within a trading bot. Please only apply if you have relevant experience and can provide examples of similar pro...

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I'm looking for a Python specialist to assist with analyzing structured data, primarily from spreadsheets and databases. Your expertise in data analysis will be key to uncovering insights and trends. The ideal candidate should have a strong background in Python, particularly with data analysis libraries such as pandas and NumPy. Understanding of data visualization tools is a plus.

I'm looking for a seasoned Python developer with a strong background in data analysis, specifically p...Python developer with a strong background in data analysis, specifically predictive analytics. The primary source of our data will be from a database, so experience in database management and query languages like SQL would be a significant advantage. Ideal skills and experiences for this job would include: - Proficiency in Python, particularly in libraries used for data analysis such as pandas, NumPy, and scikit-learn. - Strong understanding and experience in predictive analysis techniques. - Experience in working with databases and writing complex queries. - Ability to communicate findings clearly and effectively. If you have these skills and experiences, I would love to...

I'm in urg...a new project or continuing with an existing one. The ideal candidate should be proficient in multiple Python libraries and frameworks. While I have not specified particular tasks or projects, your ability to leverage your knowledge in libraries like Pandas/Numpy for data manipulation, Django/Flask for web development, and Scikit-learn/TensorFlow for machine learning will be crucial. Skills and experience necessary for the job: - Strong knowledge and experience in Python - Proficiency in libraries and frameworks such as Pandas/Numpy, Django/Flask, Scikit-learn/TensorFlow - Prior experience with both new and existing Python projects - Excellent problem-solving skills and ability to work under pressure - Good communication skills to discuss project specifi...

I'm in urg...a new project or continuing with an existing one. The ideal candidate should be proficient in multiple Python libraries and frameworks. While I have not specified particular tasks or projects, your ability to leverage your knowledge in libraries like Pandas/Numpy for data manipulation, Django/Flask for web development, and Scikit-learn/TensorFlow for machine learning will be crucial. Skills and experience necessary for the job: - Strong knowledge and experience in Python - Proficiency in libraries and frameworks such as Pandas/Numpy, Django/Flask, Scikit-learn/TensorFlow - Prior experience with both new and existing Python projects - Excellent problem-solving skills and ability to work under pressure - Good communication skills to discuss project specifi...

I'm in urg...a new project or continuing with an existing one. The ideal candidate should be proficient in multiple Python libraries and frameworks. While I have not specified particular tasks or projects, your ability to leverage your knowledge in libraries like Pandas/Numpy for data manipulation, Django/Flask for web development, and Scikit-learn/TensorFlow for machine learning will be crucial. Skills and experience necessary for the job: - Strong knowledge and experience in Python - Proficiency in libraries and frameworks such as Pandas/Numpy, Django/Flask, Scikit-learn/TensorFlow - Prior experience with both new and existing Python projects - Excellent problem-solving skills and ability to work under pressure - Good communication skills to discuss project specifi...

I have python codes that use openCV and some basic functions of numpy. You need to convert this python codes into openCV c++ codes and integrate it with flutter. (only android) This python codes input one image file and output json string. You need to make flutter example app that takes picture or picks image from phone and pass the path of inage to the openCV codes and get json as result. flutter function should be implemented as async function so that it can await for the computation. Requirements 1. convertjng python to c++ 2. Integrate the codes with flutter 3. Provide example codes / app in flutter

My budgets are below $20, please don't tell me after bidding that the budgets are low. I nee...strategy using live data from my broker, Finvasia. The script should also be able to download historical data across multiple time frames. - The script should execute trades based on my predefined day trading strategy. - It should source live data from Finvasia. - The script must be capable of downloading historical data from multiple time frames. - Proficient use of the Python libraries Pandas, NumPy, and Ta-Lib is essential. Ideal candidates will have a strong background in algorithmic trading with Python, experience with Finvasia, and the ability to create efficient, reliable trading scripts. Please include your relevant experience in your bid.