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# About me : Samten Wangchuk

Week 1: Playground¶
I chose to study the datasets on the pupil's performance to know about how our students have performed in academics. Click here
To explore on jupyter lab Watch here
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import pandas as pd
df=pd.read_csv("samten-wangchuk/marks_scores.csv")
df.head()
--------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) Cell In[2], line 2 1 import pandas as pd ----> 2 df=pd.read_csv("samten-wangchuk/marks_scores.csv") 3 df.head() File /opt/conda/lib/python3.13/site-packages/pandas/io/parsers/readers.py:1026, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1013 kwds_defaults = _refine_defaults_read( 1014 dialect, 1015 delimiter, (...) 1022 dtype_backend=dtype_backend, 1023 ) 1024 kwds.update(kwds_defaults) -> 1026 return _read(filepath_or_buffer, kwds) File /opt/conda/lib/python3.13/site-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /opt/conda/lib/python3.13/site-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /opt/conda/lib/python3.13/site-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /opt/conda/lib/python3.13/site-packages/pandas/io/common.py:873, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 868 elif isinstance(handle, str): 869 # Check whether the filename is to be opened in binary mode. 870 # Binary mode does not support 'encoding' and 'newline'. 871 if ioargs.encoding and "b" not in ioargs.mode: 872 # Encoding --> 873 handle = open( 874 handle, 875 ioargs.mode, 876 encoding=ioargs.encoding, 877 errors=errors, 878 newline="", 879 ) 880 else: 881 # Binary mode 882 handle = open(handle, ioargs.mode) FileNotFoundError: [Errno 2] No such file or directory: 'samten-wangchuk/marks_scores.csv'
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