![]() ![]() Independent software engineer, book author, and speaker. Hey, I'm Dan Bader and I'm a complete Python nut □ I'm an They also are available in course-wide search results The transcripts are available as a separate searchable page forĮach lecture. Follow along with subtitles and transcriptsĮach course comes with subtitles and full transcripts. Set up repeatable development environments and application deployments using the "pip" package manager and requirements files.Apply a complete 7-step workflow for finding and identifying quality third-party packages to use in your own Python projects (and justifying your decisions to your team or manager).Isolate project dependencies with so-called virtual environments to avoid version conflicts in your Python projects.Install, use, and manage third-party Python packages with the "pip" package manager on Windows, macOS, and Linux.Course goalsīy the end of the course you'll know how to: Workflows supported by any Python distribution and used in most If you already know how to use alternative package managers likeĬonda you'll discover how to use the standards-compliant tools and Third-party dependencies for your Python 2 or Python 3 projects on Python package out there that does exactly what I want.īut how do I find it?" this course will fill in the missing pieces for you.ĭiscover the industry best practices around choosing and managing If you've ever caught yourself thinking "There's got to be a Productive, and skilled using Python's rich library ecosystem. To the next phase of developing code by becoming more efficient, This course is for Python developers wanting to break through "architectural" skills you'll rise head and shoulders above other devs Become more valuable as an employee and team member: With my detailedħ-step workflow for researching quality Python packages you'll know how toĭocument and justify added program dependencies to your team and your manager.īy taking on more responsibilities and picking up these senior-level.Other developers to contribute code with minimal setup effort. On production and automated testing environments and how to make it easy for You'll know how to get your programs ready to be deployed You'll see how to apply the best practices for defining and installing packageĭependencies in Python. "Productionize" your projects and share them with the world:.Knowing these "tools of the trade" by heart puts you at anĪdvantage in any job interview situation. Under your belt you’ll be ready to work with the Python developmentĪnd production environments used by professional development teamsĪcross the world. With this course, you’ll master the tools and workflows recommendedīy the official Python Packaging Authority. Master "the tools of the trade" for dependency management:.Meet yourĭeadlines and write better code at the same time by not having to "reinvent the wheel." You’ll speed up your development efficiency by a large margin. By quickly and easily identifying the correct libraries Find out which libraries and tools are available Teaches you a unique 7-step workflow for finding and identifying Find great libraries for a specific task at hand: This course.That put you right on track for deploying and shipping production-grade apps. The best practices for finding and documenting application dependencies To build substantial and full-featured applications in Python. Go from "writing scripts" to "building applications" with Python:īy taking advantage of Python’s rich packaging ecosystem you’ll be able.This course isĬoncise but thorough and will help you attain solid Python dependency You will save your sanity-and a nice stack of money. Get up to speed with Python dependency management quickly:.Level skills that will benefit your development career. This is a great way for you to demonstrate senior You can avoid reinventing the wheel and deliver higher quality Python With a large body of freely available modules Rich third-party library ecosystem lets you write better programs in a Code at a higher level and become more efficient: Leveraging Python's.With Managing Python Dependencies you will: Requirements files effectively in the most common day-to-dayĭevelopment scenarios on Linux, macOS, and Windows. ![]() Workflows that reinforce the skills you’re learning.īy the end, you'll know how to apply Python’s recommendedĭependency management tools, like pip, virtualenvs, and Progressing through theĬourse, you’ll quickly build up a comprehensive knowledge ofĭependency management best practices in Python at your own, comfortable pace.Īlong the way, you’ll see hands-on examples and step-by-step The course consists of 32 bite-sized video lessons,Įach focusing on a single concept. Picking up modern Python dependency management practicesĪnd workflows with minimal time investment. Managing Python Dependencies is your "one-stop shop" for What exactly am I going to get out of this course? ![]()
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