417 skills found · Page 8 of 14
ParthibanRajasekaran / Sentiment AnalysisPython script for sentiment analysis and visualization. Categorizes feedback as Positive, Negative, or Neutral using Hugging Face transformers with SpaCy. Generates word clouds and sentiment distribution charts. Customizable, with manual overrides and logging for traceability. Ideal for textual feedback analysis
buriy / Python ChartriePure C character trie implementation, wrapped into python extension
ilahuerta-IA / Trading Strategy OptimizerPython backtesting platform with CLI & interactive web charts (Backtrader, Flask, Lightweight Charts).
KyleKing / Dash ChartsPython package for Plotly/Dash apps with support for multi-page, modules, and new charts such as Pareto with an Object Orient Approach
Turnsole / Cookie ButterPython script for making graphics performance charts for an Android app.
hmelberg / MotionchartEasily create an interactive motion chart from a Pandas dataframe in Python. Publish the chart as a standalone webpage, show it in Jupyter notebook or save it as a file
quantgirluk / Fanchart📦 Python library to create Fan Charts as introduced by the Bank of England in 1996
clevergoldfox / Sellpro CanvaThis is Next+Chart.js for frontend and python for backend system.
aradfarahani / FoliumTaxiPortoA step-by-step guide to using Folium on Python: Porto, Portugal Taxi Dataset;Geospatial Data Visualization to: -Create Dot distribution map for most common places where a taxi is requested -Create Bar Chart to find the Rush hour -Identify the street with the most traffic during Rush hours
purejoy / BaziappAn app written with python to output so-called BAZI chart based on someone's birth time. Something like natal chart in Chinese culture.
Axelrod-Python / AxelrodExamples:bar_chart: Analysis and examples for the Axelrod-Python library
EdwardSeley / Lyrics CorporaAn unofficial Python API that allows users to create a corpus of lyrical text from their favorite artists and billboard charts
lbrant / PythonAndroidMonitorThis tool is used to monitor device memory info base on adb command and python, data is saved to CSV file, and can be used to make Excel chart.
dhanushnayak / Django Project# django_dbms_project My project Natural Disaster Management System involves distribution of foods, cloths properly to natural disaster caused places. India’s size and diversity makes it one of the the most disaster-prone countries in Asia. Large coastal areas in the south suffer from cyclones, while the northern mountainous areas suffer from landslides and floods, and droughts regularly affect the country’s central region. Every year, these result in a huge loss of lives, damage infrastructure, and disrupt vital services. The country’s National Disaster Management Agency (NDMA) has just announced plans to build a national disaster database by 2020, which it hopes will help minimise the impact. With this natural disaster project we are able to give overall funds received to the government of Karnataka. We are to give store all the user information those able who are donating money for floods caused places.our database able to predict the cost management, proper distribution of foods medicines, cloths etc. Finally our database able to give overall money spent to all disaster caused places. In project user can also give feedback for supplied food and cloths that they have received good quality of products. Our web app will also gives the information about migrated people so that government can easily transfer funds, medicines, foods to the people. A major hurdle during the design of the project was displaying the web page of the Natural Disaster Management System. In our project we are using Django python web framework for web designing. Django is works on the principle of don’t repeat your yourself. For this database we are building dynamic web app. Since we are using python we are also able to plot graph pie charts and we are also using FusionChart. We are also using pandas for arranging data. Our web app consists of several forms for user requirements so that user can submit there feedback. #_________________________________________________________# COMMANDS 1.pip install -r required.txt 2.Install MongoDb Compass and run in localhost 3.go to downloaded folder 4.python manage.py makemigrations 5.python manage.py migrate 6.python manage.py createsuperuser 7.python manage.py collectstaic 8.python manage.py runserver https://127.0.0.1:8000/ #__________________________________________________________#
Philliec459 / ChartBook Neutron Density Porosity Estimations Using KNNCalculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN
skybber / Fchart3Python scripts to make beautiful deepsky finder charts and maps in various image formats.
MarcelW1323 / Clean Business ChartClean Business Chart for IBCS-inspired business charts in a Python Package
tayloraswift / KnockoutA python typesetting application with support for emoji, graphs, charts, tables, and more.
Gueni / AnaxcelA Python-based, open source, desktop application to import, read and analyse excel files in order to create and display multiple charts.
sambhipiyuushh / Applied Plotting Charting Data Representation In Python University Of MichiganThis is second Course in the specialization Data science with Python offered by University of Michigan.
