Resetting Multi-Index in Pandas DataFrame

Reading a CSV into #Python #Pandas, and want a column to be treated as datetime values? Use parse_dates: df = pd.read_csv(filename, parse_dates=['x', 'y']) Bonus: The PyArrow engine often (not always) parses columns that look like dates.

The Python Collections Cheat Sheet Choosing the right data structure is 50% of the job. Pick the wrong one, and your code gets slow or buggy. Pick the right one, and it becomes elegant. My quick guide: ✅ List: When order matters ✅ Tuple: When data must stay constant ✅ Set: When you need uniqueness and speed ✅ Dict: When you need to map labels to data Day 16/30 #Python #Day16 #BuildinginPublic #DataStructures #CodingCommunity #PythonCheatSheet

Merging spreadsheets, cleaning exports, and splitting reports are necessary-but-boring tasks. These Python scripts handle the repetitive parts so you can focus on the actual work. https://lnkd.in/eJtC6Wae

Reading a CSV into #Python #Pandas, and parse_dates doesn't recognize the format? Pass the date_format keyword arg: df = pd.read_csv(filename, parse_dates=['x', 'y'], date_format='%Y-%m-%d %H:%M:%S') All strftime codes work!

An exercise to help build the right mental model for Python data. - Solution: https://lnkd.in/etgeQqgF - Explanation: https://lnkd.in/ebPVvnhx - More exercises: https://lnkd.in/eQSdJdaW The “Solution” link uses 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 to visualize execution and reveals what’s actually happening.

Really excited to share my week1 python learning blog. Topic: variables and data Types In this article ,I have covered up by exploring the fundamentals of python including variables, examples and , data types as well with the common bugs with the solutions. please read here: https://lnkd.in/gryZb6-t #python #programing #Learningjourney#GitHub #Coding#Developers

day 21 [no zero days] 1. Python: Automate the boring stuff with python > [https://lnkd.in/em8qZPum] lesson 2 - expressions, data types(integers, floating-point numbers, and strings), variables, String Concatenation and Replication, Storing Values in Variables, Assignment Statements, Variable Names, CODE STYLE OPINIONS AND PEP 8, print() Function, input() Function, len() Function, str(), int(), and float() Functions, type() Function, round() and abs() Functions #day21 #nozerodays #100daygoal

🔄 Input & Output in Python input() → take user input print() → show output Use case: Take server name → display status Simple but powerful. #PythonBasics

Day 23/100 – #100DaysOfCode 🚀 Solved LeetCode #724 – Find Pivot Index (Python). Today I practiced prefix sum logic to find the index where the sum of elements on the left is equal to the sum on the right. Approach: 1) Calculate the total sum of the array. 2) Initialize left_sum = 0. 3) Traverse the array. 4) For each index, check if left_sum == total_sum - left_sum - nums[i]. 5) If true, return the current index as the pivot. 6) Otherwise, update left_sum by adding nums[i]. 7) If no pivot is found, return -1. Time Complexity: O(n) Space Complexity: O(1) Understanding how prefix sum helps optimize problems efficiently 💪 #LeetCode #Python #DSA #Arrays #PrefixSum #ProblemSolving #100DaysOfCode

I wrote a tutorial on "Filtering Financial Data" with Python's filter() and lambda. If you're not familiar with these functions, this will give you a quick introduction on how to use them. "Filtering Financial Data" https://lnkd.in/eXs9PuQq This is part of my "Python for Finance" series https://lnkd.in/exFszkjG #Python #Finance #Data