Python Module for NBA Player Statistics Calculator
$30-250 USD
Abierto
Publicado hace 1 día
•
Termina en 5 días
$30-250 USD
Pagado a la entrega
Project Overview
Create a Python module that calculates NBA player statistics using the balldontlie API. The module should fetch and process player game statistics across multiple seasons, providing both rolling averages and game-by-game totals in specific formats.
Key Requirements
Data Source
Use the balldontlie API ([login to view URL])
API endpoints to be used:
/players (for player search)
/stats (for game statistics)
Core Functionality
Player Identification:
- Accept player name as input
- Convert player name to player_id using the API
- Handle cases where player isn't found
Game Data Collection
- Fetch game statistics sorted by most recent first
- Only include games where the player logged minutes played (min > 0)
- Pull data across multiple seasons if needed
- Must collect enough games with minutes played to satisfy the maximum requirement (30 games)
- Handle missing/null values in the data
Statistical Calculations
a. Rolling Averages (Last 10 Games):
Minutes played (player_minutes_avg_L10)
Points (player_points_avg_L10)
Field Goals:
Made (player_fg_made_avg_L10)
Attempted (player_fg_attempted_avg_L10)
Percentage (player_fg_pct_avg_L10)
Free Throws:
Made (player_ft_made_avg_L10)
Attempted (player_ft_attempted_avg_L10)
Percentage (player_ft_pct_avg_L10)
Three Pointers:
Made (player_3p_made_avg_L10)
Attempted (player_3p_attempted_avg_L10)
Percentage (player_3p_pct_avg_L10)
Rebounds:
Offensive (player_offensive_rebounds_avg_L10)
Defensive (player_defensive_rebounds_avg_L10)
Total (player_total_rebounds_avg_L10)
Assists (player_assists_avg_L10)
Turnovers (player_turnovers_avg_L10)
b. Game-by-Game Totals:
Values must be comma-separated strings in chronological order (most recent first)
Three Pointers:
Last 5 games (player_3p_totals_L5)
Last 10 games (player_3p_totals_L10)
Last 20 games (player_3p_totals_L20)
Last 30 games (player_3p_totals_L30)
Assists:
Last 5 games (player_assist_totals_L5)
Last 10 games (player_assist_totals_L10)
Last 20 games (player_assist_totals_L20)
Last 30 games (player_assist_totals_L30)
Points:
Last 5 games (player_point_totals_L5)
Last 10 games (player_point_totals_L10)
Last 20 games (player_point_totals_L20)
Last 30 games (player_point_totals_L30)
Rebounds:
Last 5 games (player_rebound_totals_L5)
Last 10 games (player_rebound_totals_L10)
Last 20 games (player_rebound_totals_L20)
Last 30 games (player_rebound_totals_L30)
Output Format
Averages Output Format
pythonCopy{
"player_minutes_avg_L10": 32.5,
"player_points_avg_L10": 24.5,
"player_fg_made_avg_L10": 9.2,
# ... (other averages as specified)
"games_counted": 10
}
Totals Output Format
pythonCopy{
"player_3p_totals_L5": "2,3,1,2,4",
"player_3p_totals_L10": "2,3,1,2,4,2,1,3,2,1",
"player_assist_totals_L5": "8,6,5,7,9",
"player_assist_totals_L10": "8,6,5,7,9,6,8,7,6,8",
# ... and so on for L20 and L30
}
Technical Requirements
Written in Python 3.7+
Use type hints for better code maintenance
Include error handling for API failures
Handle rate limiting from the API
Include documentation and example usage
Must work across season boundaries (e.g., if requesting 30 games and only 20 are available in current season, pull 10 from previous season)
Dependencies
requests library for API calls
Example Implementation
A reference implementation has been provided in the attached code. Key classes and methods:
pythonCopyclass NBAStatsCalculator:
def __init__(self, api_key: str = None)
def get_player_id(self, player_name: str) -> int
def get_player_stats(self, player_id: int, num_games: int) -> List[Dict]
def calculate_averages(self, stats: List[Dict], num_games: int) -> Dict[str, float]
def calculate_totals(self, stats: List[Dict], game_increments: List[int]) -> Dict[str, Dict[str, str]]
def get_player_analysis(self, player_name: str) -> Dict[str, Union[Dict[str, float], Dict[str, Dict[str, str]]]]
Testing Requirements
Test with various player names including those with special characters
Test with players who have played fewer games than requested
Test with players who span multiple seasons
Test filtering of games where player did not log minutes
Test handling of DNP (Did Not Play) games
Test handling of missing/null values in game data
Test error handling for API failures
Deliverables
Python module implementing the specified functionality
Documentation including:
Installation instructions
Usage examples
Function documentation
Basic test suite demonstrating functionality
[login to view URL] file
Hello,
I'd be glad to develop the Python software that calculates NBA player statistics using the balldontlie API. Looking forward to chatting with you soon for more details.
Best regards.
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Waiting for your response!
Best Regards,
Zohaib
Waiting for your Response!
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Best Regards,
Giovanni.
Hi There,
I’m excited to offer you a 25% discount on developing a Python module for calculating and analyzing NBA player statistics. With over 7 years of experience in Python development and data analysis, I specialize in creating custom modules that efficiently process and visualize sports data.
I will create a Python module that can automatically calculate key NBA player statistics, including points, assists, rebounds, field goal percentages, and advanced metrics like PER, WS, and others. The module will be designed to easily integrate with existing databases or APIs to pull in real-time player data and provide accurate calculations.
Additionally, I’ll ensure the module is well-documented, scalable, and optimized for performance, enabling you to track player performance and gain insights into game statistics with ease.
Let’s connect to discuss your specific requirements, and I’ll help you develop a powerful NBA player statistics calculator tailored to your needs.
Best regards,
Sohail Jamil
Hello, good time
Hope you are doing well
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Thanks for attention
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Hello there,
I'm excited to help you create a Python module that calculates NBA player statistics using the balldontlie API. With my extensive experience in Python development and API integration, I'm wellprepared to meet your project's needs effectively.
My approach will include:
Utilizing the balldontlie API to fetch relevant player statistics.
Building functions to compute both rolling averages for the last 10 games and gamebygame totals in the specified format.
Implementing robust error handling to manage API failures and ensure smooth data retrieval across multiple seasons, including dealing with missing or null values.
Incorporating type hints for better code maintenance and clarity.
In addition to adhering to the technical and statistical requirements, I will ensure full compliance with testing needs, including edge cases such as players with fewer games and those spanning multiple seasons. The module will come with comprehensive documentation and a basic test suite to validate its functionality.
Let's discuss more about your current implementation and how I can effectively contribute to enhancing it.
Looking forward to the opportunity to collaborate!
Best regards!
Hellothere,
I will help with the project on Python Module for NBA Player Statistics Calculator. I have read the instructions carefully and I clearly understand what is required of the project.
I have handled several assignments in this field and I will be glad to offer my expertise and on this one too. With me, the quality and the deadline of your paper are my utmost priority. I have the expertise needed to complete your project as I have skills in Data Entry, Python, Data Processing, Data Analytics and API.
Feel free to contact me for more details.
Thank you.
Hello Sir/MAM
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Hello,
I'm interested in your project Python Module for NBA Player Statistics Calculator . Please feel free to send me a message or schedule a call so that we can discuss it further.
Kind regards,
Haroon Z.
Hello there
I am a ML engineer with extensive experience with fetching and processing data . I have worked on similar project with Premier league data. I have fetch the data and make some visualisation and analysis for the Players. I can fetch your data using the APi and make the analysis.
Let’s chat for more details.
Kind regards
Ilyasse
As an experienced Python developer with a deep understanding of APIs and using data sources, I can assure you that I am the right fit for this project. Having worked extensively with the balldontlie API and Python's requests library, I am proficient in fetching and processing data in the format required for this task. Rate limiting from the API will not be an issue as I will include error handling for API failures.
Apart from my technical skills, my ability to work across season boundaries is an advantage that aligns perfectly with your project requirements. Whether it's fetching specific game statistics or pulling data across multiple seasons, my proficiency with handling complex data structures efficiently would certainly be beneficial.
Lastly, my inclination towards thoroughly documenting and adding type hints to all my code ensures better code maintainability as well as ease of use for other developers. I am looking forward to transforming player names into id, handling cases where a player isn't found and returning the desired computations in both average and total formats within the specified structure. I can ensure a quality output trailed by through testing to complete this project successfully. Thank you for considering my candidacy. Can't wait to start working on this exciting project!
Hello there!
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I'm available to start immediately and would welcome the opportunity to discuss the project specifics with you.
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Best regards,
Elvis Miladinovic
Hello Mate!
Great!
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I am skilled in Data Entry, API, Data Analytics, Python and Data Processing.
Let's discuss your project in more detail via chatting.
Regards
Kosta
Hi,
I am thrilled about the opportunity to collaborate on your project! With extensive experience in Data Analytics, Data Processing, Data Entry, Python and API, I bring a professional skillset and a deep commitment to delivering exceptional results. I am constantly striving for growth, and this project presents an exciting opportunity not only to apply my expertise but also to push boundaries and deliver even greater value to your vision.
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Ivan
Hello, I am excited to develop a Python module that will calculate NBA player statistics using the balldontlie API. The module will fetch and process player game statistics across multiple seasons, providing both rolling averages and game-by-game totals in specific formats. I have completed many similar projects in the past with great success. I assure you of excellent results. My skills and experience are perfect for this type of project. Please open the chat box so that we can discuss this project in more detail.
Looking forward to our collaboration
Salman
Hello,
As an experienced front-end and back-end developer with a strong command over Python, I'm highly motivated to take on your project. My solid foundation in working with API, handling large data sets, and implementing intricate algorithms make me the perfect fit for this job. Over the years, I've been deeply involved in designing and implementing numerous efficient Python modules that efficiently worked with various APIs, which will be a valuable asset for your project.
Moreover, I have extensive experience in fetching and processing data from APIs using essential libraries like Requests. I emphasize maintaining code integrity and extensibility by employing type hints as you've mentioned it as a technical requirement. Also, my precise understanding of rate limiting strategies will guarantee smooth data retrieval from the balldontlie API while avoiding any potential errors or mishaps.
My excellent problem-solving skills make me adept at handling exceptions and null values proficiently, ensuring that invaluable data isn't lost even in adverse circumstances. To enhance user experience, I'll document the entire process end-to-end along with examples to ensure any user can utilize this Python module without hassle. Let's get started now on building this powerful Python module for NBA player statistics calculation!
Thanks!
Hello,
With over a decade of experience as a professional full-stack programmer, I'm well-versed in the technologies needed to construct your Python module for NBA player statistics calculator. Owing to my extensive expertise with database management and many web-based projects in a range of industries, including e-commerce and sports analysis, I have acquired an in-depth understanding that would lend itself brilliantly to this project.
My JavaScript and PHP background has instilled solid problem-solving abilities that enable me to efficiently handle data collection and analysis. As data is the backbone of your project, diligent handling is crucial. Alongside my command over the language itself, I am adept with using APIs and handling their drawbacks such as rate limiting and failures, which will be crucial when utilizing the balldontlie API.
Accounting for intricate requirements like handling missing or null values in statistics, calculating rolling averages or game-by-game totals are areas in which I specialize. As my coding style adheres to best practices such as type hints for better code maintenance and robust error handling, you can rest assured your project will be both high quality and emphasize on maximizing usability. Fully understandi
Thanks!
Hi ,
After reading in detail the requirements of your project and concluding that they match my areas of knowledge and Data Processing, API, Data Entry, Data Analytics and Python, I would like to introduce myself. My name is Salman, and I am the lead engineer for Python Scripting, VBA Programming, and Machine Learning Algorithms. I have worked for over 08 years in development and engineering, successfully completing projects on Excel Automation Scripts, Database Management, and API Integration.
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Greetings,
Salman
As an experienced full-stack developer with a deep understanding of Python, I am the perfect fit for building this specialized NBA player statistics calculation module. I have a proven track record of designing and delivering high-quality software that meets specific business needs, ensuring your project's success. My skillset includes handling complex API integrations, as well as processing and analyzing extensive data sets - exactly what your project requires.
I fully comprehend the importance of handling errors and rate limiting while making API calls - ensuring the stability and reliability of your application. Additionally, I'm adept at working with external libraries like 'requests' to make API calls more effectively which will speed up the process of fetching game data from various seasons. With meticulous attention to detail, I'll ensure that missing or null values in the data don't disrupt the accurate calculation of crucial stats for players.
Lastly, my firm knowledge in utilizing type hints and writing clean code will make this project maintainable for future upgrades or bug fixes. In conclusion, you can count on my proficiency in Python, my comprehensive understanding of data processing, and my ability to solve complex problems to deliver both rolling averages and game-by-game totals in specific formats using the balldontlie API.
