K T N E S T

Course Overview

Python is a powerful, high-level, and versatile programming language known for its simplicity and readability, making it an excellent choice for beginners and experienced developers alike. It was created by Guido van Rossum and released in 1991. Python is used in a variety of fields, such as:

  • Web Development: Frameworks like Django and Flask help developers build web applications quickly and efficiently.
  • Data Science: Python is widely used for data analysis, visualization, and machine learning, with libraries like Pandas (for data manipulation), NumPy (for numerical computing), Matplotlib (for data visualization), and Scikit-learn (for machine learning).
  • Automation: Python is often used to automate repetitive tasks, like file handling, web scraping, and system management.
  • Artificial Intelligence (AI) and Machine Learning: Libraries like TensorFlow and Keras are commonly used for developing AI models, making Python a key language in the field.
  • Software Development: Python’s ease of use and flexibility make it a great choice for building both simple scripts and large-scale applications.
  • Scientific Computing: Python is used in research and academia due to libraries like SciPy and SymPy, which support scientific computing and symbolic mathematics.

Python’s key features include:

  • Clear and readable syntax: Python's syntax is designed to be easy to understand and write, making it beginner-friendly.
  • Open-source: Python is free to use, and its vast community contributes to a wealth of open-source libraries and frameworks.
  • Cross-platform compatibility: Python can run on various operating systems like Windows, macOS, and Linux, which makes it highly portable.
  • Extensive Libraries and Frameworks: Python has a huge collection of libraries and frameworks that simplify development across different domains.
  • Community Support: Python has a large and active community, offering numerous resources, tutorials, and forums to help beginners and experts alike.

Python's combination of readability, versatility, and powerful libraries makes it one of the most popular programming languages today, and it's widely used in industries ranging from technology and finance to healthcare and education. Whether you're working on simple automation tasks or developing advanced AI models, Python is a valuable language to learn.

Learn about APIsBackendGoJavaScriptPythonPick a LanguageGitVersion Control SystemsGithubRepo hosting servicesPostgreSQLRelational DatabasesORMsACIDTransactionsN+1 ProblemMore about DatabasesJSON APIsRESTCachingIntegration TestingFunctional TestingUnit TestingTestingRedis Personal Recommendation / OpinionAlternative Option / Pick this or purpleOrder not strict / Learn anytime AuthenticationJWTIf you are a frontend developer jumpinginto backend development, I wouldrecommend picking JavaScript andlearning Node.js. Alternatively, Go andPython are also good options.Learn the language and build some CLIapps to practice your konwledge.When you are following this roadmapmake sure to develop as many projects aspossible for each node of the roadmap.Create your GitHub profile and start usingGitHub for your future projects.See if any of your past projects can bepublished on GitHub as OpenSource.Learn about the relational databases,normalization, DB migrations, SQL, DBIndexes and Query performance analysis.Learn how to build RESTful APIs and addJWT authentication to secure your APIs.Develop some API and add JWT auth.Learn about different caching strategies,including HTTP caching as well.Use Redis in some of your projects.Learn about additional database topicsincluding performance analysis, ORMs,limitations, common issues to keep inmind with ORMs and in general.Get some experience with some ORM.Learn about differeng testing techniques andlearn learn how to write automated tests.

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KT Nest

  • 5 Courses
  • 4 years
  • 4 Students

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  • 0 Students
  • 00h 42m
  • English
  • advanced Level