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Smital Desai

Implementing Design Patterns in Python

Knowledge of design patterns is really important in software architecture. But implementing the patterns can be greatly simplified based on the offerings of a language. more
  • 1 comments
  • Submitted
  • 20 Jul 2017
Technical level: Beginner

Swapnil Kulkarni

Managing requirements in OpenStack

Managing requirements for a python project is a very critical task. It involves creating constraints, making sure that indirect dependencies do not break and at the end of the day its packages are available. This can be handled manually or with some automation with small number of projects. We will see how it can be handled at complete python based cloud operating system OpenStack with hundreds o… more
  • 2 comments
  • Submitted
  • 27 Jul 2017
Technical level: Intermediate

Ent

If Microservices weren't the answer then Design Patterns have the solution.

Microservices are the trend now. However, they are not always the right solution and in hindsight, some services should be merged/combined. What’s the proper approach? Design Patterns have you covered! I feel this is quite a common problem we face and this talk will be insightful on how to solve it. more
  • 1 comments
  • Submitted
  • 05 Aug 2017
Technical level: Intermediate

Jack Fransham

Faster Python without losing your hair

A tutorial on writing C extensions in Rust, the Mozilla-backed competitor to C and C++. Writing native-code extensions doesn’t have to be a last resort any more. more
  • 1 comments
  • Submitted
  • 05 Aug 2017
Technical level: Intermediate

Prakash kumar

Advance Django Admin

Django admin is awesome and it’s very customizable. In this tutorial we will play with admin panel and add features that makes it the best CRM like - more
  • 1 comments
  • Submitted
  • 07 Aug 2017
Technical level: Advanced

Shashank Kumar

Telegram Bot using Python

Telegram being open source grabs attention of most developers on first sight and moreover it’s free to use Bot API adds more fun to it’s platform. Whether you want to create a cool assistant that schedules task and reminds you at the right time or ML based bot which changes your photos into cool artwork you need to start by creating a basic skeleton bot which can be scaled later on. This talk wil… more
  • 2 comments
  • Submitted
  • 08 Aug 2017
Technical level: Intermediate

Mahendra Yadav

Airflow: To Manage Data Pipelines

A significant part of the IT/Data Engineering team is spent on writing and scheduling jobs, monitoring and troubleshooting the issues. Enterprise data originates from various sources and there are various business rules and processes that govern how that data can be consumed. more
  • 2 comments
  • Submitted
  • 17 Aug 2017
Technical level: Beginner

Bhavesh Anand

Melissa : A lovely virtual assistant for OS X, Windows and Linux systems.

Melissa is a virtual assistant for OS X, Windows and Linux systems. She currently uses Google Chrome’s speech-to-text engine, OS X’s say command, Linux’s espeak command or Ivona TTS along with some magical scripting which makes her alive, developed by Tanay Pant and a group of sorcerers. The Web UI for Melissa has been designed by Nakul Saxena more
  • 1 comments
  • Submitted
  • 18 Aug 2017
Technical level: Intermediate

Prakhar Srivastava

Pay Some Attention using Keras!

PAY SOME ATTENTION! In this talk, the major focus will be on the newly developed attention mechanism in the encoder-decoder model. more
  • 1 comments
  • Submitted
  • 26 Aug 2017
Technical level: Intermediate

poruri sai rahul

The making of a Python package

Writing a script that does something amazing is not enough to get people to use it, it needs to be packaged so that it’s easy to install, it needs to be open sourced so that it will live longer than you will, it needs to be tested continuously and it needs to have user-friendly documentation. This is what all of the popular Python packages have in common. more
  • 4 comments
  • Submitted
  • 27 Aug 2017
Technical level: Intermediate

Pravendra Singh

Finite State Machines, Python, and Everything

A “Finite State Machine” (FSM) is a theoretical system which can be in one of the finite states at a time. It can change the state from one to another in response to an external input or a condition. more
  • 1 comments
  • Submitted
  • 28 Aug 2017
Technical level: Beginner

Sourav Singh

Trust, Defection and Cooperation in Python

Game Theory is a domain in mathematics which deals with studying cooperation, defection and trust between entities and creating models around these. more
  • 1 comments
  • Submitted
  • 28 Aug 2017
Technical level: Beginner

Farhaan Bukhsh

A Pythonista's adventure to SysAdmin Land

This talk is more on the lines on how can Python help you to be a better System Administrator. This is more of a personal experience in which python has helped me to better understand the system and manage system resources. Python has also helped in scaling infrastructure and how people use it in the SysAdmin Land. more
  • 1 comments
  • Submitted
  • 30 Aug 2017
Technical level: Intermediate

Ujjwal Gupta

The Journey to Jarvis v2.0 via Stephanie: Building your very own simple AI

Ever wanted a personal assistant like Jarvis for yourself? Fear not. [Stephanie][http://slapbot.github.io] addresses the problem by providing an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks and hence imitating much of a virtual/personal assistant’s job. more
  • 1 comments
  • Submitted
  • 30 Aug 2017
Technical level: Intermediate

Sourav Singh

Easily Accelerate your code through LLVM and Python.

Numba is an Anaconda sponsored project which aims to speed up Python code through JIT compilation to an optimized machine code using LLVM, avoiding the GIL altogether and without switching languages or interpreters. Numba also supports the compilation and running of code on a GPU using CUDA and allows for accelrating the code by just adding a few modifications to the existing Python code, namely … more
  • 1 comments
  • Submitted
  • 01 Sep 2017
Technical level: Intermediate

Shauryadeep Chaudhuri

Generating Music with Neural Networks using TensorFlow

The talk will focus on Introduction to basic concepts of neural networks like CNN & RNN. Create a simple Neural Network which will train itself on MIDI samples of a particular artist. After training the neural network would generate a midi music file of 30 to 60 seconds.I would show two music samples from two different artist. The Music file would be generated and the neural network would be trai… more
  • 1 comments
  • Submitted
  • 01 Sep 2017
Technical level: Intermediate

Sumedh Nimkarde

Automating your Web browser for testing with Selenium-Python.

Now a days, testing has gained much importance in every field. Without testing, no application can be shipped. If tried to do so, there may be lots and lots of complaints from the users of the application which may lead to lose their confidence in our application. Trying to fix one bug without testing may create other. Thus, testing is very important when it comes to making a polished product. more
  • 1 comments
  • Submitted
  • 02 Sep 2017
Technical level: Beginner

Himanshu Awasthi

Introduction to Neural Networks

In this talk I will cover Basics of Neural Network & types of Neural Network. When to apply Neural Networks ? How do Neural Network works ? This talk conclude Implementation of Neural Network in TensorFlow. more
  • 2 comments
  • Submitted
  • 05 Sep 2017
Technical level: Beginner

Shwetanshu Rohatgi

Playing with the Genetics of Python

“Machines are as good as their programmer itself”. Knowledge of Genetic algorithms can help us solve various problems that a typical computer would take years to solve. These Genetic Algorithms (GAs) are a type of optimization algorithms which combine survival of the fittest and a simplified version of Genetic Process involving selection, mutation and cross-overs to solve NP-hard problems within … more
  • 1 comments
  • Submitted
  • 09 Sep 2017
Technical level: Beginner

Sanyam Khurana

Profiling and optimizing Django applications

Many amateur developers who picks up Django write code which seems to work, but fails at scale. more
  • 1 comments
  • Submitted
  • 09 Sep 2017
Technical level: Intermediate

Animesh Srivastava

3D Scanner : Development of 3D Scanner using Python and it's libraries

With the 21st century drifting towards Virtual Reality and Augmented Reality, the need for 3D modeling is increasing day by day. From automating simple tasks to performing intricate surgeries, Robotics has spread its wings to every nook and corner of our lives. In such a scenario, it becomes essential to make the computers understand about the third dimension. The talk is based on the development… more
  • 2 comments
  • Submitted
  • 10 Sep 2017
Technical level: Advanced

Vishwesh Jirgale

My journey of teaching Python to my 9 year old son !

How I approached teaching my kid Python. Why I chose Python and did it work? I will share my experience as a parent with the audience. more
  • 1 comments
  • Shortlisted
  • 11 Sep 2017
Technical level: Beginner

Soumyo Dey

Building and Understanding a Neural Network from ground-up using NumPy

Everyone is interested in Deep Learning these days and the implementation of a Neural Network has become easier using the libraries like Tensorflow, CNTK, Caffe2, PyTorch, Theano etc. It has become more easier to build using high-level wrapper libraries like Keras. This talk targets to explain what really happens in a neural network, how it runs with basic undestanding of concepts like Weights, B… more
  • 1 comments
  • Submitted
  • 12 Sep 2017
Technical level: Beginner

Vishal Vijayraghavan

Automating Web testing using Selenium,Tesseract and PIL

This talk will focus on my own module (WTDrivers) which can be used in web based automated testing. In web based automation the biggest issue is to locate any widget or to traverse through all the elements in the navigation bar because selenium uses mechanism like xpath to locate widget or element. more
  • 1 comments
  • Submitted
  • 12 Sep 2017
Technical level: Beginner

Narendran

Concurrency vs Parallelism

Any task can be made embarrassingly parallel with your code by crunching up the resources and using all CPU cores. What if your system resources are limited, say single core?, How do we achieve the similar speed in execution of tasks?. In this talk we will discuss on how one can use python3 to achieve near speed as in parallelism but without compromising system resources. At the end of the talk t… more
  • 3 comments
  • Submitted
  • 13 Sep 2017
Technical level: Beginner

Nabarun Pal

Building microservices with firefly

firefly is an open source micro framework to deploy Python functions as web services. firefly was created with the aim of simplifying the deployment Machine Learning models as RESTful API. But as fate would have it, it became our favourite tool for building microservices. firefly takes care of processing the HTTP requests, forwarding the data to the python functions and encoding the result back t… more
  • 1 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Nabarun Pal

Swarm Robotics using MicroPython, OpenCV and Open Source Hardware

Seeing Swarm Robots in action is really cool! But believe me, building them is much more satisfying. more
  • 1 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Prakhar Srivastava

LeNet in PyTorch

this talk focuses on building an intuition about convolution network and how to implement it more
  • 1 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Sundeep Anand

Getting started with Transtats

In overall success of localization timely translation and their packaging/shipping for targeted release matter the most. Plus packaged translations should be tested as well. In some cases upstream manages the workflow and in another may it be managed for downstream only. In total a sync between upstream, translation platform and build system seem missing. Which actually results in delay or poor l… more
  • 1 comments
  • Submitted
  • 14 Sep 2017
Technical level: Beginner

heartsucker

The Complexity of Security

There’s often the misconception about security that it can be bolted on like the S that was add to HTTP to “magically” make we web secure, but the reality is that a secure web app needs to be designed as such from the ground up. Even so, extensive analysis and testing is required to be able to meet the minimum criteria of “not insecure.” This talk will be a case study on SecureDrop, a reasonably … more
  • 0 comments
  • Shortlisted
  • 14 Sep 2017
Technical level: Advanced

Sudarshan Gadhave

Introduction to Machine Learning with Scikit-Learn

Scikit-learn (http://scikit-learn.org/) has emerged as one of the most popular open source machine learning toolkits, now widely used in academia and industry. Scikit-Learn provides easy-to-use interfaces in Python to perform advanced analysis and build powerful predictive models. This talk will give an overview of the library and introduce general machine learning concepts such as supervised and… more
  • 1 comments
  • Shortlisted
  • 14 Sep 2017
Technical level: Beginner

Kapil Bakshi

Production Level Test Driven Development In Django

From writing precise unit tests to writing functional tests, from testing views, forms and rest apis to testing migrations, knowing about mocking, code coverage and important stuff on Continuous Integration.Come one,Come All and learn the magical and secret powers of TDD in Django! more
  • 2 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Trishna Guha

Network Infrastructure Automation with Ansible

Ansible’s simple automation framework not only can automate Server Infrastructure but also Network Infrastructure. Ansible can automate full production life cycle of Network infrastructure. This talk will give an overview of how we write Python modules and plugins to provide automation for Network infrastructure. more
  • 1 comments
  • Shortlisted
  • 14 Sep 2017
Technical level: Intermediate

Charlie Flanagan

Building a (small) self driving car with python

A fun exploration of hardware programming (raspberry pi) and deep learning (tensorflow) by building a self driving RC car using python. more
  • 2 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Kapil Bakshi

The magic of ViewSets in Django Rest Framework

Learn to master this killer weapon of ViewSet which can help us write apis much faster and with quite less number of lines of code. A ViewSet is a class that provides the functionality of a set of views which are closely related. Get Ready to take your development efficiency to a higher level. more
  • 1 comments
  • Submitted
  • 14 Sep 2017
Technical level: Intermediate

Ewa Jodlowska

Python Software Foundation

The Python Software Foundation is a fast growing non-profit that aims to support the Python community. We will discuss recent growth, global impact, and what’s facing us in the future. more
  • 0 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Kapil Bakshi

All About Security in Django

Dive deep into Django Security and see what amazing stuff Django has to offer to make your apps much more secured. From XSS protection to Clickjacking protection, from preventing DOS attacks to properly encrypt and decrypt, we’ll see everything in Action. more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Divyam Madaan

Transfer Learning, solution to your problems

Neural networks are a different breed of models compared to the supervised machine learning algorithms but the most prominent problem in them is the cost of running algorithms on the hardware. You need hundreds of GBs of RAM to run a super complex supervised machine learning problem and access to GPUs is not that cheap. Tranfer learning is a solution to all these problems. more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Vivek Sridhar

10 scoops from two scoops of Django

Two Scoops of Django is a book series written by Daniel & Audrey. This book introduces Django developer with various tips, tricks patterns, code snippets & techniques. I have been reading these books, and each has valuable advice for people working with Django in production. more
  • 2 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Indrajit Rajtilak

Design Patterns and Where to Find Them (Python Edition)

Discovering Design Patterns hiding in plain sight in the Python ecosystem. From adapter pattern in Allauth, iterator in Django Querysets, various decorators used in Django, strategy patterns in SKLearn, and Observer pattern in Django Signals, this talk will uncover interesting usages of Design Patterns in familiar libraries! more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Sourav Basu

Asynchronous Python

Earier there was Tornado and Twisted. However post Python 3.4 there has been a lot of things happening regarding Asynchronous programming in Python. There has been multiple implementations of event loops and they are getting better. This talk is aimed at explaining the differences to beginners and intermediates and how these frameworks work. more
  • 3 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Priya Ranjan

Best of friends : Python & Postgres

There are lot of synergies between Python and Postgres, that they feel like they are long time friends and not just acquaintance. For example Python’s framework such as Django has first class support for Postgres on the flip side, You can build Postgres extensions in Python. This enables you to have Python both front and at the back of a powerful database, Postgresql. Understanding these synergie… more
  • 2 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Stephen Turnbull

Mentoring: The Paper Chase

I will briefly talk about my experience mentoring for various organizations in Google Summer of Code and as a professor supervising thesis. Takeaways are some of the things I didn’t realize were important but really help students, mistakes that I’ve made (and could have avoided) that detracted from their experience (mostly) and performance, and advice for students for getting the most from a ment… more
  • 1 comments
  • Shortlisted
  • 15 Sep 2017
Technical level: Beginner

Piotr Grzesik

Virtual environments and dependency management in Python

During my talk I’d like to present what Python has to offer when it comes to virtual environments and how to manage multiple Python environments with pyenv and virtualenv. In the second part I will focus on ways of managing dependencies and why it’s worth to think about it. more
  • 2 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Abhilash Raj

Python and Security in Production Systems

Python is a powerful language with batteries included that helps beginners to get up to speed in near zero time. With so much functionality available, it is hard to control what a mailicious user can do with python on a system to not just perform malicious actions but also evade detection. For example, more
  • 1 comments
  • Shortlisted
  • 15 Sep 2017
Technical level: Intermediate

praveen patil

Simulating the beautiful complexity of patterns in nature with Python

“Nature uses only the longest threads to weave her patterns, so that each small piece of her fabric reveals the organization of the entire tapestry”. ---- Richard P. Feynman more
  • 1 comments
  • Shortlisted
  • 15 Sep 2017
Technical level: Beginner

Yogesh Wadadekar

Astronomical Research using Python

Python is now the dominant language in astronomy. It is used for in a variety of diverse applications including telescope control, data acquisition and processing, image visualisation and analysis and in simulations of the evolution of the Universe. In my talk, I will review some of the existing usage scenarios in optical and radio astronomy and how Python will play a central role in the analysis… more
  • 2 comments
  • Shortlisted
  • 15 Sep 2017
Technical level: Intermediate

Bargava Subramanian

REST, GraphQL, gRPC ... navigating the server communication landscape in serverless architectures

Serverless architectures use third-party services and is run in short-lived containers. You might have come across the term: Function-as-a-service. They have two major advantages: 1. Reduce operational costs 2. Reduce technical debt more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Sundeep Mallu

PPTX Creation using Python

With 1 billion+ plus installations of Mircrosoft Powerpoint across the world, most of us have attempted to create a PPT/PPTX presentation at somepoint. Creation of a PPTX “deck” manually is a hassle that most business teams go through. Content in these reports are either visual representation of data or bulleted text or screenshots of existing visual dashboards or all of the above. These reports … more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Florian Fuchs

Extending Ansible

Ansible has become many people’s preferred choice to deploy and manage their servers. With its many builtin modules and a flat learning curve it makes it easy to get started quickly. But there are many ways to use Python to extend Ansible far beyond its basic capabilities. This talk will dive into a number of examples for custom modules, dynamic server inventories and plugins, showing real-world … more
  • 1 comments
  • Shortlisted
  • 15 Sep 2017
Technical level: Intermediate

Anoop Nayak

How I started my motorcycle with Python

Python has been the go-to language for nearly all logical problems. This presentation in a nutshell is about my venture with Python and how I started my motorcycle without the keys using it. It throws light into the basics of electronics in a motorcycle and how to code to turn on the circuit using Python. This presentation also explores how Python is used to collect metrics from the motor cycle’s… more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Mansimar Kaur

Using python and microservices to fuel WebPush at Mozilla

Ever wondered how the push notifications you get actually reach to you from the time you click on ‘Allow notifications’ to seeing the notifications actually appear on your screen? This talk will cover in detail how the WebPush technology works followed by a discourse on how to build a backend for handling webpush subscriptions and sending notifications coupled with lessons learnt while developing… more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Anoop Nayak

Writing FAST APIs with Falcon and PyPy

Performance in production is where Python lags behind in spite of all its versatility. With Falcon(an open source framework from Rackspace) we aim to close this gap too. This presentation is about getting up and running with Falcon and PyPy which has the highest performance compared to other Python frameworks which would be ideal for an intermediate Python developer who wants to do something fast… more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Srinivasan Rangarajan

Real-time log analytics using Probabilistic Data Structures in Redis

There are two ways to solve any problem: Accurately or approximately. Accurate data structures has its disadvantages - too much memory usage and unscalable for real-time nature of data. In this talk we will see how to take advantage of the newly release Redis 4.0 with pluggable modules to build a data pipeline which uses probabilistic data structures to get real-time insights. more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Advanced

Meganathan Balasubramaniam

Evolution of Python dictionaries!

Python’s dictionaries are good. Over the years, many great ideas have combined together to produce the modern implementation in Python 3.6. This talk will use bits of python code to explain all of the key ideas and how python dictionaries evolved over time. The talk will also include newer features such as key-sharing, compaction, and versioning. This talk is designed to be fully understandable f… more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Udit Arora

Kivy: Developing cross-platform apps with a unified codebase

Kivy is a multi-platform application development kit, using Python. It runs on iOS, Android, MacOS, Windows, and Linux. Kivy enables you to build hardware-accelerated apps for multiple platforms and handles a lot of the back-end requirements for you. For things like where the mouse is, how a button should react when clicked, or, even how to manage multiple screens, Kivy has your back! more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Beginner

Ashish Sethi

Pedestrian detection using computer vision and deep neural networks

Pedestrian detection is one the most popular topic in computer vision.people are researching in this topic from last 15 years and developed about 40+ algorithms but still we are far from saturation point. So in this talk I will talk about why we need robust pedestrian detection system using deep neural networks and computer vision techniques and show up the live demo of pedestrian detection syste… more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Intermediate

Kapil Bakshi

Implementing Neural Networks using TensorFlow

TensorFlow is an open source software library for numerical computation using dataflow graphs. Nodes in the graph represents mathematical operations, while graph edges represent multi-dimensional data arrays (aka tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. more
  • 1 comments
  • Submitted
  • 15 Sep 2017
Technical level: Advanced

Kapil Bakshi

Dazzling Django Deployment on Kubernetes

Not only is Kubernetes a great way to deploy Django and all of its dependencies, it’s actually the easiest way! more
  • 1 comments
  • Submitted
  • 16 Sep 2017
Technical level: Intermediate

Christian Heimes

Gentle introduction to TLS, PKI, and Python's ssl module

TLS/SSL is the most important and widely-used protocol for secure and encrypted communication. I’m going to introduce you to TLS 1.2 and 1.3, cryptographic building blocks, best-practice configuration, certificates, and public key infrastructure using Python’s ssl module more
  • 1 comments
  • Shortlisted
  • 16 Sep 2017
Technical level: Intermediate
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