My published example
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Highly skilled and experienced software engineer with a strong foundation in computer engineering and deep learning. Proficient in a variety of programming languages including C#, SQL, and Python. Achieved Data Scientist Professional and Data Analyst Associate certifications from DataCamp, as well as a Deep Learning Specialization from DeepLearning.AI. Possesses excellent troubleshooting and problem-resolution skills, a positive and friendly attitude, and a strong work ethic. Fluent in Portuguese and English. Proven success as a team leader, project manager, and software developer, with experience in the oil and gas industry and implementing ERP solutions.
Generated by jupyter2hashnode using a Jupyter Notebook
Example notebook
#codepython
import pandas as pd
import matplotlib.pyplot as plt
#codepython
data = {
'fruits' : ['apple', 'blueberry', 'cherry', 'orange'],
'counts' : [40, 100, 30, 55],
'bar_labels' : ['yellow', 'blue', 'red', 'orange'],
'bar_colors' : ['yellow', 'blue', 'red', 'orange']
}
df = pd.DataFrame(data)
#codepython
df
| fruits | counts | bar_labels | bar_colors | |
| 0 | apple | 40 | yellow | yellow |
| 1 | blueberry | 100 | blue | blue |
| 2 | cherry | 30 | red | red |
| 3 | orange | 55 | orange | orange |
#codepython
df.plot.bar(x="fruits", y="counts" )
[output:]
<AxesSubplot:xlabel='fruits'>
#codepython
fig, ax = plt.subplots()
ax.bar(df.fruits, df.counts, label=df.bar_labels, color=df.bar_colors)
ax.set_ylabel('fruit supply')
ax.set_title('Fruit supply by kind and color')
plt.show()
