Programming Languages

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2 months ago

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Diya Nihalani

Contributor-Level 10

Python Project ideas for Beginners

  1. A guessing game where the user has to guess a randomly generated number within a certain range.

  2. A programme that generates a random quote from a collection of quotes.

  3. A programme that can encrypt and decrypt messages using a simple encryption algorithm, such as the Caesar Cipher.

  4. A programme that can generate a random password of a given length and complexity.

  5. A programme that can convert a given temperature from Celsius to Fahrenheit and vice versa.

  6. A programme that can calculate the factorial of a given number

  7. A programme that can create a simple quiz game by asking multiple-choice questions and keeping tr

...more

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2 months ago

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Diya Nihalani

Contributor-Level 10

Job Profile

Skills Required

Software Engineer

Programming Language and Coding Knowledge
Problem-Solving Knowledge
Communication Skills
Teamwork

Python Developer

Communication and Teamwork Skills
Coding Information
Analytical Skills
Machine Learning Skills

Data Analyst

Data Visualisation Techniques
Creating Dashboards
Data Cleaning and Preparation
Data Analysis
Knowledge of Statistics

Software Tester

Understanding of the Business Model and Process
Knowledge of Systems Development Life Cycle
Communication Skills
Alertness and Presence of Mind

Data Scientist

Data Visualisation Techniques
Statistics
Programming Languages like Python
Communication Skill

New answer posted

2 months ago

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D
Diya Nihalani

Contributor-Level 10

Top Companies using Python

Python is a widely used programming language, and many companies across different industries use it for various purposes. Here are some of the top companies that use Python:

CompanyExample or Use Case
GoogleGoogle's web crawlers and search algorithms are built using Python. It was also used in the creation of the Google File System.
SpotifyPython powers data analysis and machine learning in creating personalized playlists and is used for back-end services such as the Spotify API.
NetflixPython is utilized for data analysis to improve the recommendation system, for personalization algorithms, and testing and deployment of their streaming platform.
NASAPython is employed in scientific programming and data analysis for projects such as building 3D maps of Mars, analyzing satellite data, and simulating aircraft.
FacebookPython is employed for data analysis and machine learning in their news feed algorithm to detect spam and for various other purposes.
DropboxPython powers back-end services and data analysis to improve their file-sharing platform's performance and implement file-syncing and version control features.

New answer posted

2 months ago

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D
Diya Nihalani

Contributor-Level 10

 
ApplicationsCategoryLibraryDescription
Instagram, Pinterest, DisqusWeb development with DjangoDjangoA high-level web framework that enables the rapid development of secure and maintainable websites 
LinkedIn, Netflix, UberWeb development with DjangoFlaskA micro web framework that is easy to use and provides flexibility
Astrophysics, Oceanography, Weather forecastingScientific computing and data analysisNumPyPython library for numerical computing that provides support for multi-dimensional arrays and mathematical functions
Signal and image processing, optimization, statisticsScientific computing and data analysisSciPyA library that provides a collection of algorithms and functions for scientific computing
Finance, economics, data manipulation, analysis Scientific computing and data analysispandas A library for data manipulation and analysis that provides powerful data structures and data analysis tools 
Text classification, image recognition, anomaly detectionArtificial intelligence and machine learningscikit-learn A library for machine learning that provides a wide range of algorithms for classification, regression, and clustering 
Natural language processing, speech recognition, image processingArtificial intelligence and machine learningTensorFlow An open-source library for machine learning that provides a wide range of tools for building and deploying machine learning models 
Computer vision, natural language processing, and speech recognitionArtificial intelligence and machine learningKeras A high-level library for deep learning that provides a simple and powerful interface for building neural networks 
Object detection, image recognition, image restorationArtificial intelligence and machine learningOpenCV A library for computer vision that provides a wide range of tools for image and video processing 
Web scraping, automated testing, and data extractionAutomationSeleniumA library for automating web browsers that allows you to automate repetitive tasks such as web scraping and form filling 
GUI automation, automating repetitive tasksAutomationpyautoguiA library for automating mouse and keyboard actions 
Cutelyst web framework, Eric Python IDEDesktop ApplicationsPyQtA set of Python bindings for the Qt application framework that allows you to create cross-platform GUI applications
Boa-constructor, RUR-PLEDesktop ApplicationswxPython A set of Python bindings for the wxWidgets GUI toolkit that allows you to create cross-platform GUI applications
Network scanning, packet crafting, and network securityNetworkingScapyA library for packet manipulation and network discovery that provides a powerful and flexible interface for interacting with networks 
Automated backups, file transfers, and remote executionNetworkingParamikoA library for SSH and SFTP that allows you to automate remote server management tasks 
Chat servers, multiplayer games, and distributed systemsNetworkingTwisted An event-driven networking engine that provides a wide range of tools for building networked applications 
These are just a few examples of how Python is used. It is a versatile language that can be applied to many different tasks.

New answer posted

2 months ago

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D
Diya Nihalani

Contributor-Level 10

  • Python was created in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands.
  • It was first released in 1991, but began as a hobby project.
  • Python 2.0 was released in 2000, and Python 3.0 in 2008
  • Python has been consistently updated and improved by the community
  • Python has now become one of the most popular programming languages worldwide
  • Google widely uses Python, and it is also ranked number 1 on the PYpl list of top programming languages for December 2022.

New answer posted

2 months ago

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Vidhi Jain

Contributor-Level 10

A strong hold over programming languages is very important to understand the practical applications of the ECE field, including embedded systems, control systems, machine learning, digital signal processing, and circuit design. A few important programming languages taught in the BTech ECE syllabus include C+, Python, Java, MATLAB, VHDL, SQL, etc., which may differ from college to college but are potentially focused upon during the coursework.

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