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#Pythonhelp #Python I am trying to import `joblib()` function from `sklearn.externals` module and it's raising an error, can someone please help with this🙏 .. @ProjectJupyter

How do you print an array of variables in pyton i.e array = [var1, var2, var3] print(array) ??? #pythonhelp #devhelp #python #programming #n00bdev

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#Pythonhelp #Python3 What is confusing me here is the👇🏽 “C[num] = C[num] + 1” How does this affect here? I understand how the Counter() type works tho.

Is it time to give the axes a superhero cape and mask? 💥 Source: #matplotlib #matplotlibcolors #pythonhelp #dataviz101 #change #matplotlib

Trying to figure this out - this code: np.concatenate((np.array([1, 1, 1]), np.array([0, 0, 0])), axis=0) returns: array([1, 1, 1, 0, 0, 0]) expect it to return: array([[1, 1, 1], [0, 0, 0]]) #numpy #Python #pythonhelp

Anyone can kindly help me why does line 9 gives me an error? If I remove ("Your BMI is") then it works fine. If I print(bmi_as_int) in the line 10 it also works fine. Any idea? #Python #pythonhelp #100DaysOfCode #pythonlearning #pythonprogramming

Today I practiced Data types in python this is the output I got. Data types 1. String (str) 2.Numeric data type : int , float, complex IN THIRD IMAGE 🖼️📷 3.Boolean data type (bool) 4.None data type (None) IN FOURTH IMAGE 📷🖼️ • Ascii values #Python #pythonlearn #pythonhelp

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Could someone help me out? I've been trying to understand what square brackets mean on line 16. I understand the whole code, except line 16. names[random_person] . Would appreciate any help. #NeedHelpPython #pythonlearning #pythonhelp #Python #100DaysOfCode #100daysofpython

R vs Python? No! R & Python (& something else) Data Science Central #DataScience #PythonHelp

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I am using pyscript to build a site. I want to call an API quick and effortlessly w/out a backend. However, can’t users be able to "inspect" or "view page source" on my site, as well as my api key & other info? Is there any workaround? Plz help. #python #pyscript #pythonhelp

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Data is Beautiful: 7 Data Visualization Tools #DataScience #BigData #PythonHelp

Python - Google Trends - the rise over years as it is most used with #DataScience #PythonHelp

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