Craft
Pandas
Craft | Pandas | |
---|---|---|
9 | 395 | |
10,197 | 41,983 | |
- | 0.6% | |
0.0 | 10.0 | |
28 days ago | 3 days ago | |
C | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Craft
- A simple Minecraft clone written in C using modern OpenGL
- Coding a Minecraft clone in pure C
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What lesser known but amazing functionality of CHATGPT are you willing to share?
Here’s the original code: https://github.com/fogleman/Craft/blob/master/src/world.c I don’t really have an “after” because I edited it a lot and didn’t backup the original, but try it yourself and you should get similar results. I also told it to make the variable names better.
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Are C programs only used for terminal based interaction?
When this subject comes up, I always like to link to one of the many Minecraft clones written in C. https://github.com/fogleman/Craft
- Is C only in terminal?
- There is framework for everything.
- are there tutorials for code organization for games in C?
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I just learned java, want to make a simple minecraft clone
Not java but https://github.com/fogleman/Craft will give you an idea of what has to be done.
- Resources to learn voxel based game development?
Pandas
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
What are some alternatives?
minecraft-pi-reborn - Official Mirror Of @TheBrokenRail's Minecraft: Pi Edition: Reborn.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
doomgeneric - Easily portable doom
tensorflow - An Open Source Machine Learning Framework for Everyone
etlegacy - ET: Legacy is an open source project based on the code of Wolfenstein: Enemy Territory which was released in 2010 under the terms of the GPLv3 license.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
BetterSpades - BetterSpades, an Ace of Spades client targeted at low end systems (GL/ES 1.1). Runs on your grandmother's rig!
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
qb64 - BASIC for the modern era.
Keras - Deep Learning for humans
SDLPoP - An open-source port of Prince of Persia, based on the disassembly of the DOS version.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration