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)
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)
๐7
๐ง๐๐ฆ ๐๐ฅ๐๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
Want to kickstart your career in Data Analytics but donโt know where to begin?๐จโ๐ป
TCS has your back with a completely FREE course designed just for beginnersโ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jNMoEg
Just pure, job-ready learning๐
Want to kickstart your career in Data Analytics but donโt know where to begin?๐จโ๐ป
TCS has your back with a completely FREE course designed just for beginnersโ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jNMoEg
Just pure, job-ready learning๐
๐๐ป Top 10 Websites for Coding Practice:
๐ Hackerrank.com
๐ก Leetcode.com
โ Codewars.com
๐๏ธ Exercism.org
๐ Codeforces.com
๐ Hackerearth.com
๐ Topcoder.com
โฒ๏ธ Coderbyte.com
๐งฎ Projecteuler.net
๐ฝ๏ธ Codechef.com
๐ Hackerrank.com
๐ก Leetcode.com
โ Codewars.com
๐๏ธ Exercism.org
๐ Codeforces.com
๐ Hackerearth.com
๐ Topcoder.com
โฒ๏ธ Coderbyte.com
๐งฎ Projecteuler.net
๐ฝ๏ธ Codechef.com
๐ช๐ฎ๐ป๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ป-๐๐ฒ๐บ๐ฎ๐ป๐ฑ ๐ง๐ฒ๐ฐ๐ต ๐ฆ๐ธ๐ถ๐น๐น๐ โ ๐ณ๐ผ๐ฟ ๐๐ฅ๐๐ โ ๐๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ผ๐ผ๐ด๐น๐ฒ?๐
Whether youโre a student, job seeker, or just hungry to upskill โ these 5 beginner-friendly courses are your golden ticket. ๐๏ธ
Just career-boosting knowledge and certificates that make your resume pop๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/42vL6br
All The Best ๐
Whether youโre a student, job seeker, or just hungry to upskill โ these 5 beginner-friendly courses are your golden ticket. ๐๏ธ
Just career-boosting knowledge and certificates that make your resume pop๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/42vL6br
All The Best ๐
Steps to learn Data Structures and Algorithms (DSA) with Python
1. Learn Python: If you're not already familiar with Python, start by learning the basics of the language. There are many online resources and tutorials available for free.
2. Understand the Basics: Before diving into DSA, make sure you have a good grasp of Python's syntax, data types, and basic programming concepts. Use free resources from @dsabooks to help you in learning journey.
3. Pick Good Learning Resources: Choose a good book, online course, or tutorial series on DSA with Python. Most of the free stuff is already posted on the channel @crackingthecodinginterview
4. Data Structures: Begin with fundamental data structures like lists, arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Understand their properties, operations, and when to use them.
5. Algorithms: Study common algorithms such as searching (binary search, linear search), sorting (quick sort, merge sort), and dynamic programming. Learn about their time and space complexity.
6. Practice: The key to mastering DSA is practice. Solve a wide variety of problems to apply your knowledge. Websites like LeetCode and HackerRank provide a vast collection of problems.
7. Analyze Complexity: Learn how to analyze the time and space complexity of algorithms. Big O notation is a crucial concept in DSA.
8. Implement Algorithms: Implement algorithms and data structures from scratch in Python. This hands-on experience will deepen your understanding.
9. Project Work: Apply DSA to real projects. This could be building a simple game, a small web app, or any software that requires efficient data handling. Check channel @programming_experts if you need project ideas.
10. Seek Help and Collaborate: Don't hesitate to ask for help when you're stuck. Engage in coding communities, forums, or collaborate with others to gain new insights.
11. Review and Revise: Periodically review what you've learned. Reinforce your understanding by revisiting data structures and algorithms you've studied.
12. Competitive Programming: Participate in competitive programming contests. They are a great way to test your skills and improve your problem-solving abilities.
13. Stay Updated: DSA is an ever-evolving field. Stay updated with the latest trends and algorithms.
14. Contribute to Open Source: Consider contributing to open source projects. It's a great way to apply your knowledge and work on real-world code.
15. Teach Others: Teaching what you've learned to others can deepen your understanding. You can create tutorials or mentor someone.
Join @free4unow_backup for more free courses
ENJOY LEARNING ๐๐
1. Learn Python: If you're not already familiar with Python, start by learning the basics of the language. There are many online resources and tutorials available for free.
2. Understand the Basics: Before diving into DSA, make sure you have a good grasp of Python's syntax, data types, and basic programming concepts. Use free resources from @dsabooks to help you in learning journey.
3. Pick Good Learning Resources: Choose a good book, online course, or tutorial series on DSA with Python. Most of the free stuff is already posted on the channel @crackingthecodinginterview
4. Data Structures: Begin with fundamental data structures like lists, arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Understand their properties, operations, and when to use them.
5. Algorithms: Study common algorithms such as searching (binary search, linear search), sorting (quick sort, merge sort), and dynamic programming. Learn about their time and space complexity.
6. Practice: The key to mastering DSA is practice. Solve a wide variety of problems to apply your knowledge. Websites like LeetCode and HackerRank provide a vast collection of problems.
7. Analyze Complexity: Learn how to analyze the time and space complexity of algorithms. Big O notation is a crucial concept in DSA.
8. Implement Algorithms: Implement algorithms and data structures from scratch in Python. This hands-on experience will deepen your understanding.
9. Project Work: Apply DSA to real projects. This could be building a simple game, a small web app, or any software that requires efficient data handling. Check channel @programming_experts if you need project ideas.
10. Seek Help and Collaborate: Don't hesitate to ask for help when you're stuck. Engage in coding communities, forums, or collaborate with others to gain new insights.
11. Review and Revise: Periodically review what you've learned. Reinforce your understanding by revisiting data structures and algorithms you've studied.
12. Competitive Programming: Participate in competitive programming contests. They are a great way to test your skills and improve your problem-solving abilities.
13. Stay Updated: DSA is an ever-evolving field. Stay updated with the latest trends and algorithms.
14. Contribute to Open Source: Consider contributing to open source projects. It's a great way to apply your knowledge and work on real-world code.
15. Teach Others: Teaching what you've learned to others can deepen your understanding. You can create tutorials or mentor someone.
Join @free4unow_backup for more free courses
ENJOY LEARNING ๐๐
๐2
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
๐ฑ ๐๐ฅ๐๐ ๐๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐ฆ๐ธ๐๐ฟ๐ผ๐ฐ๐ธ๐ฒ๐ ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ฒ๐๐๐บ๐ฒ๐
From mastering Cloud Computing to diving into Deep Learning, Docker, Big Data, and IoT Blockchain
IBM, one of the biggest tech companies, is offering 5 FREE courses that can seriously upgrade your resume and skills โ without costing you anything.
๐๐ถ๐ป๐ธ:-๐
https://pdlink.in/44GsWoC
Enroll For FREE & Get Certified โ
From mastering Cloud Computing to diving into Deep Learning, Docker, Big Data, and IoT Blockchain
IBM, one of the biggest tech companies, is offering 5 FREE courses that can seriously upgrade your resume and skills โ without costing you anything.
๐๐ถ๐ป๐ธ:-๐
https://pdlink.in/44GsWoC
Enroll For FREE & Get Certified โ
โค2
๐ฐ ๐๐ฅ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฏ๐ ๐๐ฎ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐ฎ๐ป๐ฑ ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐
Dreaming of Mastering AI? ๐ฏ
Harvard and Stanfordโtwo of the most prestigious universities in the worldโare offering FREE AI courses๐จโ๐ป
No hidden fees, no long applicationsโjust pure, world-class education, accessible to everyone๐ฅ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3GqHkau
Hereโs your golden ticket to the future!โ
Dreaming of Mastering AI? ๐ฏ
Harvard and Stanfordโtwo of the most prestigious universities in the worldโare offering FREE AI courses๐จโ๐ป
No hidden fees, no long applicationsโjust pure, world-class education, accessible to everyone๐ฅ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3GqHkau
Hereโs your golden ticket to the future!โ