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Best Code Editors For Python 👨‍💻

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Scientific programming in python cheat sheet

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Python Projects & Resources

𝐈𝐦𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐍𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

𝐋𝐨𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚𝐬𝐞𝐭:

df = pd.read_csv('your_dataset.csv')

𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧:

1- View the first few rows:
df.head()

2- Summary of the dataset:
df.info()

3- Statistical summary:
df.describe()

𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐌𝐢𝐬𝐬𝐢𝐧𝐠 𝐕𝐚𝐥𝐮𝐞𝐬:

1- Identify missing values:
df.isnull().sum()

2- Visualize missing values:
sns.heatmap(df.isnull(), cbar=False, cmap='viridis')
plt.show()

𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧:

1- Histograms:
df.hist(bins=30, figsize=(20, 15))
plt.show()

2 - Box plots:
plt.figure(figsize=(10, 6))
sns.boxplot(data=df)
plt.xticks(rotation=90)
plt.show()

3- Pair plots:
sns.pairplot(df)
plt.show()

4- Correlation matrix and heatmap:
correlation_matrix = df.corr()
plt.figure(figsize=(12, 8))
sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm')
plt.show()

𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:
Count plots for categorical features:

plt.figure(figsize=(10, 6))
sns.countplot(x='categorical_column', data=df)
plt.show()

Python Interview Q&A: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a

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Python Projects & Resources

👨‍💻 FREE Resources to Learn & Practice Python

1. https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course
2. https://www.hackerrank.com/domains/python
3. https://www.hackerearth.com/practice/python/getting-started/numbers/practice-problems/
4. https://learnpython.org/
5. https://www.w3schools.com/python/python_exercises.asp
6. https://t.iss.one/pythonfreebootcamp/134
7. https://t.iss.one/pythonanalyst/26
8. https://pythonbasics.org/exercises/
9. https://t.iss.one/pythondevelopersindia/300
10. https://docs.python.org/3/
11. https://t.iss.one/pythonspecialist/33

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Python Projects & Resources

✅

10 Most Useful Python Interview Code Snippets

💼

1️⃣ Reverse a string:

s = "hello"
print(s[::-1])  # Output: 'olleh'

2️⃣ Check for a palindrome:

def is_palindrome(s):
    return s == s[::-1]

3️⃣ Count word frequency in a list:

from collections import Counter
words = ['apple', 'banana', 'apple']
print(Counter(words))

4️⃣ Swap two variables:

a, b = 5, 10
a, b = b, a

5️⃣ Fibonacci using recursion:

def fib(n):
    return n if n <= 1 else fib(n-1) + fib(n-2)

6️⃣ Find duplicate elements in a list:

lst = [1,2,3,2,4]
duplicates = set([x for x in lst if lst.count(x) > 1])

7️⃣ Check if list is sorted:

def is_sorted(lst):
    return lst == sorted(lst)

8️⃣ Flatten a 2D list:

matrix = [[1, 2], [3, 4]]
flat = [num for row in matrix for num in row]

9️⃣ Read a file line by line:

with open('file.txt') as f:
    for line in f:
        print(line.strip())

🔟 Lambda & Map usage:

nums = [1, 2, 3]
squares = list(map(lambda x: x**2, nums))

💡 Tip: Practice these with variations on lists, strings & dictionaries.

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