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Showing posts with the label Python Language

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Practical Program: Study of TensorFlow Library in Python

Posted by Vivek Bhardwaj Sunday, December 15, 2024

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Practical Program: Time Series Data Analytics in Python

Posted by Vivek Bhardwaj Saturday, December 14, 2024

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Practical Program: Data Aggregation in Python

Posted by Vivek Bhardwaj Thursday, December 12, 2024

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Program: Data Visualization using Matplotlib

Posted by Vivek Bhardwaj Wednesday, December 11, 2024

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Practical Data Wrangling Program in Python

Posted by Vivek Bhardwaj Tuesday, December 10, 2024

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Data Cleaning and Preparation in Python

Posted by Vivek Bhardwaj Monday, December 09, 2024

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Practical Program Based on Interacting with Web APIs in Python

Posted by Vivek Bhardwaj Sunday, December 08, 2024

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Practical Program-Based on Data Loading, Storage, and File Formats in Python

Posted by Vivek Bhardwaj Saturday, December 07, 2024

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Practical Based on Pandas Data Structures

Posted by Vivek Bhardwaj Friday, December 06, 2024

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Practicals Based on NumPy and Array

Posted by Vivek Bhardwaj Thursday, December 05, 2024

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Time Series Data Analytics and Advanced Pandas: A Comprehensive Guide

Posted by Vivek Bhardwaj Saturday, November 23, 2024

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Data Visualization in Python: Unlocking Insights with Matplotlib, Pandas, Seaborn, and More

Posted by Vivek Bhardwaj Wednesday, November 20, 2024

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Mastering Data Handling: APIs, Databases, and Data Wrangling

Posted by Vivek Bhardwaj Saturday, November 09, 2024

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Getting Started with Pandas: A Comprehensive Guide

Posted by Vivek Bhardwaj Sunday, November 03, 2024

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Problem Solving Techniques in C Language - What is problem solving techniques - Problem solving techniques kya hoti hai - Top Down Bottom Up Approach

Problem Solving Techniques in C Language Problem-solving in any programming language, including C, involves breaking down a complex task into smaller, manageable steps and implementing those steps using appropriate techniques. Here are some problem-solving techniques commonly used in C language: 1. Understanding the Problem : Before you start writing code, make sure you understand the problem requirements and constraints clearly. Identify the inputs, desired outputs, and any special conditions to consider. 2. Algorithm Design : Design a step-by-step plan (algorithm) to solve the problem. You can use techniques like pseudocode or flowcharts to map out the logic before writing the actual code. 3. Decomposition : Break down the problem into smaller sub-problems or tasks. This approach makes the problem easier to tackle and allows you to focus on one part at a time. 4. Modularization : Divide your C code into smaller, self-contained functions. Each function shoul...

What is CorelDRAW - History of CorelDRAW - What are the uses of CorelDRAW - Types of Tools Used in CorelDRAW - What are the Main Functions of CorelDRAW - CorelDRAW Kya Hai

What is CorelDraw? CorelDraw is a vector graphics editor developed and marketed by Corel Corporation. It is widely used for graphic design, illustration, layout, and photo editing. The software is available for both Windows and Mac operating systems. CorelDraw is known for its versatility and is used by graphic designers, artists, illustrators, and professionals in various industries to create a wide range of visual content. Key features of CorelDraw include: 1. Vector Graphics Editing : CorelDraw is primarily vector-based software, which means that images created with it can be scaled without losing quality. This is especially important for tasks such as logo design and printing. 2. Page Layout : It offers tools for page layout, allowing users to create multi-page documents for print or web. 3. Image Editing : While not as advanced as dedicated photo editing software like Adobe Photoshop, CorelDraw includes basic image editing features for ta...

Sensor coding tutorials - How we can code a sensor - Coding with sensors - What type of programming is used in sensors

How we can code a sensor for a specific task Coding a sensor for a specific task depends on several factors, including the type of sensor, the desired output, and the intended application. Here is a general process for coding a sensor for a specific task: 1. Choose the appropriate sensor : The first step is to choose the appropriate type of sensor based on the desired output and the intended application. Some common types of sensors include temperature sensors, light sensors, accelerometers, and gyroscopes. 2. Connect the sensor to a microcontroller : The next step is to connect the sensor to a microcontroller, such as an Arduino or a Raspberry Pi. The microcontroller is used to control the sensor and collect data from it. 3. Write the code : Once the sensor is connected to the microcontroller, you can write the code to control the sensor and collect data. The code should be written in a programming language that is supported by the microcontroller, such as C or Python. 4. Calibrate th...

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