Great work on minutes abirath !!! On Feb 27, 2017 6:31 PM, "abhirath" <abhiabhiabh...@gmail.com> wrote:
> Hi, > > ### A Gentle Intro to Types by Shrayas Rajagopal > Shrayas started by building on the basics to introduce more advanced > concepts later on. > - What are types? > - Class of value > - Set of operations > > - Why Types? > - Humans make a lot of errors > - Computers are very good at repeating things > - Types help them to bring it together. Helps reduce the number of > mistakes > > - Type Systems > - Think of them like magic boxes > - They run through the source code > - Check if the program makes sense given the set of operations (rules) > > - Dynamic Typing vs Static Typing > - General myth that static has types and dynamic means no types > - He explained that both actually have types. > - Static languages get to know about the type at runtime > - Dynamic languages get to know about the type at compile time > - He then showed examples where errors where caught during compile > time in C# but went undetected until runtime in Python > > - Advantages and Disadvantages of both based on the following criteria > - Hackable or not (easy to get started and build things) > - Readability > - Iteration speed > - Enforces tests or not > - Size of code base > > - Gradual Typing > - Advantages of both > - Runtime fluidity marries compile time rigidity > - Some languages / frameworks with gradual typing > - Hack > - Typescript > - mypy > > - Why Gradual Typing? > - Rigidity > - Better dev tools > - Readability > - Conscise code base > - It is possible to migrate your codebase to gradual typing in part > > > ### GUI Using Python by Gaurav Sehrawat > Gaurav went over the following:- > > - Basic Info > - tkinter is a Python interface to Tcl/Tk > - Tcl/Tk is cross platform > - Tcl is a dynamic language. Tk is an extension provided for > development of GUIs > - Uses native system APIs > - Each GUI is basically a collection of frames. Each frame has a > layout manager > - The IDLE editor is built using Tkinter > > - Python 2 vs Python 3 > - Very easy to port Tkinter code. It's very similar across both 2 & 3 > - Letter casing is different or it is has a prefix > > - Geometry Manager or Layout Manager > - Specify relations with respect to other elements > - Pack (simple layout manager) > - Grid (table like) > > - When to Use Pack > - Simple geometry like up, down etc > - Side by Side > - Element go on top of each other > > - If you need something more complex and specific it's always better to go > with grid. > > - Widget List > - Labels > - Buttons > - Dialog Boxes etc > > - He showed the following examples > - Hello, World > - Pack > - Grid > - Events and bindings > - Dialog Boxes > - Matplot lib > - Matplot lib dynamic plots using changes in real time data > - opencv > > ### Networking Tea Break > > ### YAML Validation in Python by Vijay Kumar > > - He quicly went over the basics > - Different methods of representing data > - Impacts of representation > > - Benefits of text representation > - Easy to create > - Easy to use Version Control Systems > - Easy to review > > - Explained about Asciidoc. Humans can enter text. It then converts it to > other formats using toolchains > > - Types of Data > - Structured Data > - Structures that are easy for computers to understand but > difficult for humans > - They can be manipulated by the computer easily > - Example arrays, Databases > - Unstructured Data > - Human oriented > - Harder for machines to work with such data > - Eg Word Documents > - Semi Structured Data > - Easy for both computers and humans > - Eg:- XML, JSON, YAML > - It undergoes an additional step like parsing > - YAML > - Superset of JSON > - Syntax and things possible > - Examples of YAML that helps him organise ChennaiPy > > - Roadblocks to using YAML > - Human input prone to errors > - Proper validation is key > > - Difficulties in validation YAML > - Writing code that handles verification is hard > - No schema available for YAML > - Examples of nasty error messages thrown when validation fails > > - Using jsonschema to validate YAML thus giving better error checking and > friendlier prompts > > ### Lightning Talk by Ashok Govindarajan > He spoke about his broad top level views on Machine Learning. > > - Born out of pattern recognition > - Mostly comprises of curve fitting, adapt, predict and recommend > - Why the sudden rise in Machine Learning? > - There from quite a long time > - Sudden rise due to faster hardware, more storage and lots of good > sources of data > - Role of low cost sensors > - Machine learning preceeds / enables decision making > - Helps in intuition to data driven decisions > > ### Credits > Vijay thanked Inkmonk for sponsoring the venue and Zilogic Systems for > sponsoring the projector. > > ### Group Photo > > Regards, > Abhirath > > _______________________________________________ > Chennaipy mailing list > Chennaipy@python.org > https://mail.python.org/mailman/listinfo/chennaipy > >
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