Add python package

Author: jakubno

.vscode/settings.json

@@ -0,0 +1,42 @@
+{
+  "editor.formatOnSave": true,
+  "editor.codeActionsOnSave": {
+    "source.fixAll": "always"
+  },
+  "[python]": {
+    "editor.defaultFormatter": "ms-python.black-formatter",
+    "editor.formatOnSave": true
+  },
+  "[json]": {
+    "editor.defaultFormatter": "vscode.json-language-features"
+  },
+  "restoreTerminals.terminals": [
+    {
+      "splitTerminals": [
+        {
+          "name": "Root"
+        }
+      ]
+    },
+    {
+      "splitTerminals": [
+        {
+          "name": "Python",
+          "commands": [
+            "cd python"
+          ]
+        }
+      ]
+    },
+    {
+      "splitTerminals": [
+        {
+          "name": "JS",
+          "commands": [
+            "cd js"
+          ]
+        }
+      ]
+    }
+  ]
+}

README.md

@@ -2,7 +2,6 @@
 
 The repository contains a template and modules for the code interpreter sandbox. It is based on the Jupyter server and implements the Jupyter Kernel messaging protocol. This allows for sharing context between code executions and improves support for plotting charts and other display-able data.
 
-
 ## Motivation
 
 The code generated by LLMs is often split into code blocks, where each subsequent block references the previous one. This is a common pattern in Jupyter notebooks, where each cell can reference the variables and definitions from the previous cells. In the classical sandbox each code execution is independent and does not share the context with the previous executions.
@@ -14,56 +13,63 @@ Additionally, this new template also partly implements the [Jupyter Kernel messa
 
 The current code interpreter allows to run Python code but each run share the context. That means that subsequent runs can reference to variables, definitions, etc from past code execution runs.
 
-
 ## Current state
+
 Known limited in features such as:
+
 - All executions share single kernel
 
 We'll be updating this module as we gather more user feedback.
 
 ## Installation
 
-**Python**
+### Python
+
 ```sh
-pip install e2b-code-interpreter
+pip install e2b_code_interpreter
 ```
-**JavaScript**
+
+### JavaScript
+
 ```sh
-npm install e2b-code-interpreter
+npm install e2b_code_interpreter
 ```
 
 ## Examples
 
-### Minimal example with the sharing context:
+### Minimal example with the sharing context
+
+#### Python
 
-**Python**
 ```python
 from e2b_code_interpreter import CodeInterpreterV2
 
 with CodeInterpreterV2() as sandbox:
-    sandbox.exec_python("x = 1")
+    sandbox.exec_cell("x = 1")
 
-    result = sandbox.exec_python("x+=1; x")
+    result = sandbox.exec_cell("x+=1; x")
     print(result.output)  # outputs 2
- 
- ```
 
-**JavaScript**
+```
+
+#### JavaScript
+
 ```js
-import { CodeInterpreterV2 } from 'e2b-code-interpreter'
+import { CodeInterpreterV2 } from 'e2b_code_interpreter'
 
 const sandbox = await CodeInterpreterV2.create()
 await sandbox.execPython('x = 1')
 
 const result = await sandbox.execPython('x+=1; x')
 console.log(result.output)  # outputs 2
- 
+
 await sandbox.close()
- ```
+```
 
-### Get charts and any display-able data 
+### Get charts and any display-able data
+
+#### Python
 
-**Python**
 ```python
 import base64
 import io
@@ -72,13 +78,12 @@ from matplotlib import image as mpimg, pyplot as plt
 
 from e2b_code_interpreter import CodeInterpreterV2
 
-
 with CodeInterpreterV2() as sandbox:
-    # you can install dependencies in "jupyter notebook style" 
-    sandbox.exec_python("!pip install matplotlib")
+    # you can install dependencies in "jupyter notebook style"
+    sandbox.exec_cell("!pip install matplotlib")
 
-     # plot random graph
-    result = sandbox.exec_python(
+    # plot random graph
+    result = sandbox.exec_cell(
         """
     import matplotlib.pyplot as plt
     import numpy as np
@@ -103,15 +108,14 @@ with CodeInterpreterV2() as sandbox:
     plt.show()
 ```
 
+#### JavaScript
 
-**JavaScript**
 ```js
-import { CodeInterpreterV2 } from 'e2b-code-interpreter'
-
-const sandbox = await CodeInterpreterV2.create()
+import { CodeInterpreterV2 } from "e2b_code_interpreter";
 
+const sandbox = await CodeInterpreterV2.create();
 
-const code =  `
+const code = `
 import matplotlib.pyplot as plt
 import numpy as np
 
@@ -120,57 +124,64 @@ y = np.sin(x)
 
 plt.plot(x, y)
 plt.show()
-`
+`;
 
-// you can install dependencies in "jupyter notebook style" 
-await sandbox.execPython('!pip install matplotlib')
+// you can install dependencies in "jupyter notebook style"
+await sandbox.execPython("!pip install matplotlib");
 
-const result = await sandbox.execPython(code)
+const result = await sandbox.execPython(code);
 
 // this contains the image data, you can e.g. save it to file or send to frontend
-result.display_data[0]['image/png']
- 
-await sandbox.close()
+result.display_data[0]["image/png"];
+
+await sandbox.close();
 ```
 
 ### Streaming code output
 
-**Python**
+#### Python
+
 ```python
 from e2b_code_interpreter import CodeInterpreterV2
 
-code =  """
+code = """
 import time
 
 print("hello")
 time.sleep(5)
 print("world")
 """
 with CodeInterpreterV2() as sandbox:
-    sandbox.exec_python(code, on_stdout=print, on_stderr=print)
+    sandbox.exec_cell(code, on_stdout=print, on_stderr=print)
 ```
 
-**JavaScript**
+#### JavaScript
+
 ```js
-import { CodeInterpreterV2 } from 'e2b-code-interpreter'
+import { CodeInterpreterV2 } from "e2b_code_interpreter";
 
-code =  `
+code = `
 import time
 
 print("hello")
 time.sleep(5)
 print("world")
-`
+`;
 
-const sandbox = await CodeInterpreterV2.create()
+const sandbox = await CodeInterpreterV2.create();
 
-await sandbox.execPython(code, out => console.log(out), outErr => console.error(outErr))
+await sandbox.execPython(
+  code,
+  (out) => console.log(out),
+  (outErr) => console.error(outErr),
+);
 ```
 
 ### Pre-installed Python packages inside the sandbox
+
 The full and always up-to-date list can be found in the [`requirements.txt`](https://github.com/e2b-dev/E2B/blob/stateful-code-interpreter/sandboxes/code-interpreter-stateful/requirements.txt) file.
 
-```
+```text
 # Jupyter server requirements
 jupyter-server==2.13.0
 ipykernel==6.29.3
@@ -206,4 +217,4 @@ tornado==6.4
 urllib3==1.26.7
 xarray==2024.2.0
 xlrd==2.0.1
-```
+```

python/README.md

@@ -0,0 +1 @@
+# TODO