hi everyone welcome to day two of the data analysis week by simply learn
on day one we learned about r programming and how you can use r for performing data analysis
today we are going to look at data analysis using python programming python can become the most popular
programming language for data analytics machine learning and data science it's easy to learn and it supports a range of
libraries to analyze visualize and build models using data
today you are going to learn...
repo | techs | stars | weekly | forks | weekly |
---|---|---|---|---|---|
arc53/DocsGPT | PythonTypeScriptCSS | 11.7k | +4.8k | 1.1k | +364 |
Pythagora-io/gpt-pilot | PythonOther | 9.5k | +4k | 722 | +297 |
OpenBMB/ChatDev | PythonJavaScriptCSS | 12.9k | +2.7k | 1.3k | +274 |
microsoft/autogen | Jupyter NotebookPythonOther | 8.1k | +2.5k | 811 | +315 |
mit-han-lab/streaming-llm | Python | 4.6k | +2.2k | 234 | +115 |
krahets/hello-algo | JavaSwiftC++ | 38.2k | +1.8k | 4.2k | +203 |
novuhq/novu | TypeScriptPythonJavaScript | 29.3k | +1.5k | 2.5k | +179 |
openai/openai-python | PythonMakefile | 12.8k | +1.3k | 1.8k | +77 |
microsoft/promptflow | PythonOther | 4.1k | +1.1k | 273 | +49 |
KillianLucas/open-interpreter | Python | 28.8k | +958 | 2.5k | +93 |