Python for Data Analysts


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Python for Data Analysts
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30 Python libraries .pdf
9.3Mb
30 Python libraries .pdf










Python Libraries every Data Scientist should know










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Python for Data Science Roadmap
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https://t.me/DataScienceInterviews/6


Complete Python Course with Building 10 Real-world Applications
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https://www.linkedin.com/posts/sql-analysts_python-viral-pythonprogramming-activity-7141826568485605376-tf7V




Python Most Important Interview Questions

Question 1: Calculate the average stock price for Company X over the last 6 months.

Question 2: Identify the month with the highest total sales for Company Y using their monthly sales data.

Question 3: Find the maximum and minimum stock price for Company Z on any given day in the last year.

Question 4: Create a column in the DataFrame showing the percentage change in stock price from the previous day for Company X.

Question 5: Determine the number of days when the stock price of Company Y was above its 30-day moving average. Question

6: Compare the average stock price of Companies X and Z in the first quarter of the year.

#Data#
----------------------------------------------
import pandas as pd
data = {   'Date': pd.date_range(start='2023-01-01', periods=180, freq='D'),   'CompanyX_StockPrice': pd.np.random.randint(50, 150, 180),   'CompanyY_Sales': pd.np.random.randint(20000, 50000, 180),   'CompanyZ_StockPrice': pd.np.random.randint(70, 200, 180) }

df = pd.DataFrame(data)




150 SQL Queries for Practice
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Data Visualization with Python.pdf
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Data Visualization with Python
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Python Data Cleaning Cookbook.pdf
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