by Suf | Jan 15, 2022 | Programming, Python, Tips
If you attempt to create a pandas DataFrame with all scalar values, but you do not pass an index, you will raise the ValueError: if using all scalar values, you must pass an index. You can solve this error by passing an index when creating the DataFrame. You can also...
by Suf | Jan 15, 2022 | Programming, Python, Tips
A common error you may encounter when using Python is modulenotfounderror: no module named ‘sklearn’. This error occurs when Python cannot detect the Scikit-learn library in your current environment, and Scikit-learn does not come with the default Python...
by Suf | Jan 15, 2022 | Machine Learning, Programming, Python, TensorFlow, Tips
A common error you may encounter when using Python is modulenotfounderror: no module named ‘keras’. Keras comes packaged with Tensorflow 2.0 as tensorflow.keras. To import and start using Keras, you need to install TensorFlow 2. You can install TensorFlow...
by Suf | Jan 15, 2022 | Data Science, Programming, Python, Tips
NaN stands for Not a Number. You may encounter the error ValueError: cannot convert float NaN to integer when attempting to convert a column in a Pandas DataFrame from a float to an integer, and the column contains NaN values. You can solve this error by either...
by Suf | Jan 15, 2022 | Programming, Python, Tips
You can create a nested dictionary in Python by placing comma-separated dictionaries within curly braces {}. A Python nested dictionary allows you to store and access data using the key-value mapping structure within an existing dictionary. This tutorial will go...
by Suf | Jan 13, 2022 | Programming, Python, Tips
The easiest way to iterate over a dictionary is to use the in operator with a for loop. For example, for i in dict: print(i) iterate over the keys in the dictionary. We can use square brackets together with the keys to retrieve the values in the dictionary. For...
