📌 NumPy Built-in Methods NumPy provides several built-in functions to quickly create arrays. 🔹 arange() – Creates an array with a range of numbers np.arange(0,10) 🔹 zeros() – Creates an array filled with zeros np.zeros(3) np.zeros((5,5)) → creates a 5×5 matrix of zeros 🔹 ones() – Creates an array filled with ones np.ones(3) np.ones((3,3)) → creates a 3×3 matrix of ones These built-in methods make array creation fast and efficient in NumPy. #Python #NumPy #Programming #DataAnalytics #LearningPython
NumPy Array Creation Methods
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📌 NumPy Array Attributes & Methods NumPy arrays provide several attributes and methods that help us work with data efficiently. Example arrays: arr = np.arange(25) ranarr = np.random.randint(0,50,10) Here: • arr creates an array with values from 0 to 24 • ranarr creates 10 random integers between 0 and 50 These arrays can then be used to explore different NumPy array attributes and methods for data analysis and numerical computations. #Python #NumPy #Programming #DataAnalytics #LearningPython
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📌 Creating Arrays with NumPy NumPy provides a powerful object called ndarray (N-dimensional array) used for storing and working with data efficiently. An array is a collection of elements stored in a single variable, and in NumPy arrays are homogeneous (all elements are usually of the same data type). Example steps: 🔹 Install NumPy pip install numpy 🔹 Import NumPy import numpy as np 🔹 Create an array arr = np.array([1,2,3,4,5]) This creates a NumPy array, and its type will be numpy.ndarray. NumPy arrays are faster and more efficient for numerical operations compared to regular Python lists. #Python #NumPy #DataAnalytics #Programming #LearningPython
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🧩 DSA Breakdown: Insert Interval One of those problems that looks scary at first, but once you see the pattern — it clicks instantly. The problem: Given a sorted list of non-overlapping intervals, insert a new interval and merge if needed. The trick? Just think in 3 phases: 1️⃣ Add all intervals that END before the new one starts → no overlap, safe to add 2️⃣ MERGE all intervals that overlap → keep expanding the new interval's boundaries 3️⃣ Add everything remaining → they start after the new interval ends ✅ Time: O(n) — single pass ✅ Space: O(n) Currently grinding DSA one problem at a time 💪 If you're on the same journey, let's connect! #DSA #CodingInterview #Python #LeetCode #Programming #100DaysOfCode
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Output: [9, 1, 1, 25, 81] 🧠 filter() + map() chained together! Step 1 — filter() keeps only odd numbers: [3, 1, 1, 5, 9] Step 2 — map() squares each one: [9, 1, 1, 25, 81] ✅ A cleaner, Pythonic way using list comprehension: result = [x**2 for x in nums if x % 2 != 0] Same result, more readable! 🎉 #python #pythonprogramming #coding #programming
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📌 Creating NumPy Arrays NumPy arrays can be created from Python lists and nested lists. 🔹 From a Python List my_list = [1,2,3] np.array(my_list) This converts the list into a NumPy array. 🔹 From a Matrix (Nested List) my_matrix = [[1,2,3],[4,5,6],[7,8,9]] np.array(my_matrix) This creates a 2D NumPy array (matrix). Using lists and nested lists is one of the simplest ways to create arrays in NumPy. #Python #NumPy #DataAnalytics #Programming #LearningPython
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🚀 Excited to share my new project: **Simple Calculator (Python)** I built a command-line calculator that performs basic operations like addition, subtraction, multiplication, and division. It also includes input validation and divide-by-zero handling. 🔧 Technologies Used: • Python • Functions • Error Handling This project helped me understand program structure and clean function design. 💻 GitHub: https://lnkd.in/gkASWMCw #Python #Programming #StudentProject #Coding #SoftwareDevelopment
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🚀 Mini Project #5 – Rent Calculator (Python) Built a simple Rent Calculator using Python that helps roommates split expenses easily. The program takes inputs like rent, food cost, electricity usage, electricity charge per unit, and number of people, then calculates how much each person needs to pay. This project helped me practice Python basics, user input handling, variables, and arithmetic operations while solving a real-life problem. Small projects like this are a great way to strengthen programming fundamentals and improve logical thinking. #Python #MiniProject #Coding #Programming #Learning #PythonProjects
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🚀 Mini Project #6 – Rock Paper Scissors Game (Python) Built a simple Rock–Paper–Scissors game using Python where the user plays against the computer. The program takes user input, generates a random computer choice using the random module, and decides the winner using conditional logic. This mini project helped me practice Python basics, user input, randomization, and if-else decision making while creating a fun command-line game. Small projects like this are a great way to improve problem-solving and programming skills step by step. 💻 #Python #MiniProject #Coding #Programming #Learning #DeveloperJourney
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