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    Full-Stack React, Python, and GraphQL (2019)

    Posted By: ParRus
    Full-Stack React, Python, and GraphQL (2019)

    Full-Stack React, Python, and GraphQL (2019)
    WEBRip | English | MP4 | 1280 x 720 | AVC ~3000 Kbps | 30 fps
    AAC | 128 Kbps | 44.1 KHz | 2 channels | 6.5 hours | 2.38 GB
    Genre: Video Tutorial

    Develop impressive, rich full-stack apps with the latest and greatest features of Python, React and GraphQL
    This course is for developers looking to build complete, full-stack applications with cutting-edge React user interfaces, powered by a robust Python backend, that uses GraphQL on the server and client.

    It was designed for developers who want to be ahead of the curve in the latest web technologies, focusing on how to use GraphQL from front to back, the most current techniques and tools in React, including React Hooks, Apollo Boost, and Material UI, and how to combine it all with Python, Django and Graphene for an amazing stack.

    ### WHAT WILL WE BE BUILDING? ###

    A full-stack app from scratch with a GraphQL API made with Python (Django and Graphene), a React client app with React Hooks and Apollo Boost, state management React Context (with useContext) and Apollo Client State, media file uploads with Cloudinary and tons more.

    Our app will be a social music-sharing app called ReactTracks where users can upload and share any music they like; users within our app will be able to interact with various tracks by liking them and adding tracks to their profile, searching for tracks, adding information about their music, as well as editing and deleting their tracks.

    ### WHAT CONCEPTS WILL IT COVER? ###

    Build robust GraphQL Backends with Python
    Craft impressive React user interfaces
    Authenticate Requests made to our Python Backend with JSON Web Tokens
    Master the latest and greatest tools in React, namely React Hooks and React Context
    Work with and understand two GraphQL client libraries in-depth–Apollo Boost and Graphene
    Manage App State in React with Apollo Client State
    Provide Routing and Protected Routes to your React apps with React Router 4
    Grasp the core concepts of GraphQL (queries, mutations, GraphQL types, variables, schemas, resolvers)
    Use Django to build robust, powerful web app backends and GraphQL APIs
    Use Graphene and Graphene-Django to use GraphQL in Python Applications
    Crafting visually impressive React apps with the #1 component library Material UI
    Media file uploads with Cloudinary / Cloudinary API
    Error handling in GraphQL, both on the client and server
    How to use GraphQL IDEs, such as GraphiQL and GraphQL Playground, to interact with your APIs
    How to use React Dev Tools and Apollo Dev Tools to easily interact with your React code
    Package management with pipenv and dependency management with npm / yarn

    And lots more!

    Note: This course is highly suggested for both Python developers looking to learn the latest and greatest features in the React ecosystem and to start building real-world projects with them as well as for React / JavaScript developers looking to start working with Python along with powerful tools like Django and Graphene.

    Who this course is for:
    Python developers looking to jump into the React ecosystem and learn the latest tools
    JavaScript / React / Node developers looking to become familiar with Python
    Developers who want to learn how to use GraphQL in building real-world apps

    What you'll learn
    How to build stunning, complete full-stack applications with React and Python
    Create robust Python backends with the Django Web Framework
    Integrate GraphQL with Python using Graphene and Graphene-Django
    Use GraphQL in great depth; from fundamental concepts to using it in full-stack apps
    The latest and greatest React concepts, including React Hooks, React Context and more
    Working with GraphQL on the backend to create a complete API (w/ Django and Graphene)
    GraphQL in React applications in great depth with Apollo Boost, Apollo Client and Apollo Client State

    also You can find my other last: programming-posts

    General
    Complete name : 8. User Authentication with Django-GraphQL-JWT.mp4
    Format : MPEG-4
    Format profile : Base Media
    Codec ID : isom (isom/iso2/avc1/mp41)
    File size : 47.6 MiB
    Duration : 5 min 45 s
    Overall bit rate : 1 157 kb/s
    Writing application : Lavf58.12.100

    Video
    ID : 1
    Format : AVC
    Format/Info : Advanced Video Codec
    Format profile : Main@L3.1
    Format settings : CABAC / 4 Ref Frames
    Format settings, CABAC : Yes
    Format settings, RefFrames : 4 frames
    Format settings, GOP : M=4, N=60
    Codec ID : avc1
    Codec ID/Info : Advanced Video Coding
    Duration : 5 min 45 s
    Bit rate : 1 021 kb/s
    Nominal bit rate : 3 000 kb/s
    Width : 1 280 pixels
    Height : 720 pixels
    Display aspect ratio : 16:9
    Frame rate mode : Constant
    Frame rate : 30.000 FPS
    Color space : YUV
    Chroma subsampling : 4:2:0
    Bit depth : 8 bits
    Scan type : Progressive
    Bits/(Pixel*Frame) : 0.037
    Stream size : 42.0 MiB (88%)
    Writing library : x264 core 148
    Encoding settings : cabac=1 / ref=3 / deblock=1:-1:-1 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00

    Audio
    ID : 2
    Format : AAC
    Format/Info : Advanced Audio Codec
    Format profile : LC
    Codec ID : mp4a-40-2
    Duration : 5 min 45 s
    Bit rate mode : Constant
    Bit rate : 128 kb/s
    Channel(s) : 2 channels
    Channel positions : Front: L R
    Sampling rate : 44.1 kHz
    Frame rate : 43.066 FPS (1024 SPF)
    Compression mode : Lossy
    Stream size : 5.27 MiB (11%)
    Default : Yes
    Alternate group : 1

    Screenshots

    Full-Stack React, Python, and GraphQL (2019)

    Full-Stack React, Python, and GraphQL (2019)

    Full-Stack React, Python, and GraphQL (2019)

    Full-Stack React, Python, and GraphQL (2019)

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    Full-Stack React, Python, and GraphQL (2019)