Guide4Pr0gramming

Python is a simple, high-level programming language. It follows the OOP (Object Oriented Programming) concept. Python provides an easy coding environment. This language, is rich in all aspects, has various applications. Web development is one of those applications. For developing web applications and creating code, developers practice  Python Web Frameworks. Python comes up with numerous frameworks. A framework is a combination of packages and modules which assist in designing any web application. These frameworks help developers to automate low-level tasks. It helps them to reduce development time by providing them with a well-defined structure. There are three types of Python Web Frameworks –  Full-stack, Non-full stack, and Asynchronous. Full-stack Python Web Frameworks This type of Python web framework provides a complete packet of features to the developers. It is a one-stop solution package. It offers all the necessary elements including form validation, for...

Python is an abundant source of libraries. A Python library is a gathering of functions that assist one to perform many actions. It has myriad inbuilt libraries. Python contains ample libraries for data science. This tutorial covers Python libraries for a data scientist. Python categorizes these libraries according to their title role in data science. Let’s see  Python libraries for a data scientist: A. Data Cleaning and Data Manipulation Pandas NumPy Spacy SciPy B. Data Gathering Beautiful Soap Scrapy Selenium C. Data Visualisation Matplotlib Seaborn Bokeh Plotly D. Data Modelling Scikit-Learn PyTorch TensorFlow Theano E. Image Processing Scikit-Image Pillow OpenCV F. Audio Processing pyAudioAnalysis Librosa Madmom 1) Pandas Pandas is one of the most popular data analysis and data manipulation libraries. It is an open-source library. DataFrame is the chief data structure of the Pandas library. DataFrame stores and mana...

Speech emotion recognition, the best ever python mini-project. The best example of it can be seen at call centres. If you ever noticed, call centres employees never talk in the same manner, their way of pitching/talking to the customer's changes with customers. Now, this does happen with common people too, but how is this relevant to call centres? Here is your answer, the employees recognize customers’ emotions from speech, so they can improve their service and convert more people. In this way, they are using speech emotion recognition. So, let’s discuss this project in detail. Speech emotion recognition is a simple Python mini-project, which you are going to practice with DataFlair. Before, I explain to you the terms related to this mini python project, make sure you bookmarked the  complete list of Python Projects . What is Speech Emotion Recognition? Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states ...