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Python has a wide range of libraries for scientific computing tasks. These libraries can be used for data analysis, machine learning, plotting, visualization, and numerical computing. For data analysis, libraries like Pandas and NumPy provide powerful data structures and tools for organizing and manipulating data. For machine learning, Scikit-Learn is a popular library for building and training models. For plotting and visualization, Matplotlib and Seaborn can be used to create sophisticated charts, graphs, and diagrams. Lastly, for numerical computing, SciPy provides powerful numerical algorithms and functions for working with large datasets.
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Python has a number of libraries available for audio processing, including pydub, librosa, scipy, pyaudio, madmom, and PySoundFile. These libraries provide functions for manipulating and processing audio data, such as playback, recording, filtering, and synthesis, among others. They can be used to create applications for audio analysis, sound effects, recording, and more.
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There are several Python libraries available for video processing, such as OpenCV, MoviePy, FFmpeg, and PyAV. OpenCV is a library of programming functions mainly aimed at real-time computer vision. MoviePy is a video editing library for Python, which allows you to edit, manipulate, and compose video clips. FFmpeg is a powerful set of libraries for handling video, audio, and other multimedia files and streams. Finally, PyAV is a Pythonic binding for the ffmpeg libraries that provides a convenient interface for reading and writing a wide range of media files.
Python libraries can be used to process video in many ways. For example, the OpenCV library can be used for object recognition, tracking, and color space transformation. Additionally, the SciPy library can be used for video processing, such as filtering, encoding, and decoding. Furthermore, the MoviePy library can be used for video editing and composition, such as trimming, concatenating, and adding effects and transitions. Finally, the PyFFmpeg library can be used for audio and video manipulation, such as transcoding, cutting, and merging.
4Achievers most popular Python libraries for web scraping are BeautifulSoup, Scrapy, Selenium, Urllib, Requests, and LXML. BeautifulSoup is a library for extracting data from HTML and XML documents. Scrapy is a web scraping framework that provides a complete toolkit for scraping websites. Selenium is a web automation tool that can be used for web scraping. Urllib is a library for making HTTP requests. Requests is a library for sending HTTP requests and getting responses. LXML is a library for processing XML and HTML documents.
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4Achievers Certified Python Developer Training in Bangalore Course Covers: Introduction | Basic | Project Implementation | Testing | Architecture | Advance Learning | Interview Preparation | JOB Assistance
4Achievers Python For Data Science Training in Bangalore Course Covers: Introduction | Basic | Project Implementation | Testing | Architecture | Advance Learning | Interview Preparation | JOB Assistance
4Achievers Data Mining With Python Training in Bangalore Course Covers: Introduction | Basic | Project Implementation | Testing | Architecture | Advance Learning | Interview Preparation | JOB Assistance
4Achievers Machine Learning With Python Training in Bangalore Course Covers: Introduction | Basic | Project Implementation | Testing | Architecture | Advance Learning | Interview Preparation | JOB Assistance
4Achievers Deep Learning With Python Training in Bangalore Course Covers: Introduction | Basic | Project Implementation | Testing | Architecture | Advance Learning | Interview Preparation | JOB Assistance
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
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