Python For Mechanical Engineers | Video-1 | Tamil

PYTHON FOR MECHANICAL ENGINEERS:https://youtube.com/playlist?list=PL-Ajcclw-5JUBU-Aj9Qj7DU6_T6AVy_Gl WELDING PLAYLIST-https://www.youtube.com/playlist?list=PL-Ajcclw-5JUhZnyqVrhcXyWiI2RfT9wn METAL CUTTING:https://www.youtube.com/playlist?list=PL-Ajcclw-5JXcVrB22v_l-fuIErIySe9Y MIG WELDING: https://youtu.be/UI8MZqrrNao we're on Instagram as @chennaiminds. Install the app to follow my photos and videos. https://bit.ly/3aqqvI1 00:00​ - Why ? Python For Mechanical Engineers 01:32 - Why PYTHON not other LANGUAGE? 04:10 - NUMERICAL COMPUTATIONS 05:45 - DATA ANALYSIS AND VISUALIZATION 06:55 - PyFEA and FEniCS 08:00 - CAD AUTOMATION 10:40 - 3D VISUALIZATION 10:20 - SHORT ARC MIG WELDING 11:25 - OTHER TOOLS NumPy: A powerful library for numerical computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. SciPy: Built on top of NumPy, SciPy is a library that provides additional functionality for scientific and engineering computing. It includes modules for optimization, signal processing, linear algebra, interpolation, and more. Matplotlib: A popular plotting library in Python that allows you to create 2D and 3D plots, histograms, scatter plots, and more. It is often used for data visualization and analysis in mechanical engineering. Pandas: Pandas is a library for data manipulation and analysis. It provides data structures like DataFrames that are useful for handling structured data, performing data cleaning, filtering, and aggregation operations. SymPy: A Python library for symbolic mathematics. It allows you to perform symbolic computations, solve equations, perform differentiation and integration, and manipulate algebraic expressions. OpenCV: OpenCV (Open Source Computer Vision Library) is a computer vision library that provides tools and algorithms for image and video processing. It is useful for tasks such as image recognition, object tracking, and measurement analysis. Finite Element Method (FEM) Libraries: There are several Python libraries specifically designed for finite element analysis, which is commonly used in mechanical engineering for structural analysis and simulations. Examples include FEniCS, SfePy, and pyFEM. pySerial: A library for serial communication with external devices. It allows you to establish a connection with devices such as microcontrollers, sensors, and other hardware, enabling data acquisition and control. Pygame: Pygame is a library for game development in Python. While it may not be directly related to mechanical engineering, it can be useful for creating interactive simulations or visualizations. SolidWorks API: If you work with the SolidWorks CAD software, you can use the SolidWorks API to automate tasks and interact with the software programmatically using Python.