Learning Path - Python, Django

Command Line Basics

Session on CLI.

Command Line Crash Course

Commonly Used Linux Commands

Version Control Systems

Session on Git and Github

Version Control with Git - Udacity Video Course

GitHub & Collaboration - Udacity Video Course

Learn enough Git to be dangerous

Practice Link - Practice the Learn Git branching section

Gamified Tutorial - Learn the most common practices in the modern day Git Workflow.

HTML and CSS

Start with Learn to Code HTML and CSS by Shay Howe

In particular read the following sections and complete the exercises.

HTMl & CSS

• Lesson 1: Building your first web page
• Lesson 2: Getting to know HTML
• Lesson 3: Getting to know CSS
• Lesson 4: Opening the Box Model
• Lesson 5: Positioning content

Advanced HTML & CSS

• Lesson 3: Complex Selectors
• Lesson 4: Responsive Web Design

Resources for Flex and Grid Layouts:

CSS Flex Video

CSS Grid Video

Resources for Web Development for any Topic:

Mozilla Web Docs

Projects:

Responsive Portfolio Website

Build your portfolio website using your knowledge of HTML and CSS. The display should work in all resolutions.

Use your knowledge of responsive media queries, CSS flex and CSS grid for handling multi column layouts.

CSS Reference

A Visual Reference to CSS

Themed Ecommerce Website

Recreate the following website: https://shop.polymer-project.org/

Please make a Gitlab repository:

The website should have 5 pages:

1. Home Page
2. Item listing page
3. Single Item Page
4. Cart Page
5. Checkout Page

Some pointers:

* Please work *mobile-first*.
* Add README.md and .gitignore files to your repository.
* Make a styles.css. Include it in each html page. Put the style classes here. They can be gradually reused.
* Work page by page, section by section, element by element. Break things down to the smallest step. Ask yourself what you don't know and figure it out.
* Try to work with high energy and complete things.

JavaScript and Ecosytem

JavaScript Basics

Introduction to JavaScript - Udacity

ECMAScript 6 Basics

Introduction to ES6 - Udacity

Recommended Projects:

ToDo List in JavaScript

Implement a todo list with ordering

Session: Recap on Functions, Scope and Callbacks.

Session on JavaScript Environment Setup - JS, Node, NPM. Introduction to JavaScript.

Developer Tools

Getting Started with Developer Tools

Python

Session on environment setup - virtualenv, pip and packaging.

Introduction to Python - thenewboston

Official Python Tutorial

Go through PEP-8 Style Guide

Unit Testing in Python

Session Unit testing

Session Code Retreat

Data Project - Round 1

Get the IPL Dataset

In this data assignment you will transform raw data from IPL into graphs that will convey some meaning / analysis. For each part of this assignment you will have 2 parts -

Download both csv files from https://www.kaggle.com/manasgarg/ipl

Code python functions that will transform the raw csv data into a data structure in a format suitable for plotting with matplotlib.

Generate the following plots ...

1. Plot the number of matches played per year of all the years in IPL.
2. Plot a stacked bar chart of matches won of all teams over all the years of IPL.
3. For the year 2016 plot the extra runs conceded per team.
4. For the year 2015 plot the top economical bowlers.
5. Discuss a "Story" you want to tell with the given data. As with part 1, prepare the data structure and plot with matplotlib.

Time and Space Complexity

Time Complexity Summary (30 minutes) on mycodeschool - 4 videos

Complexity for recursive programs (8 minutes) on mycodeschool

(Optional) Additionally you can refer to the Algorithms and Data Structures course by Ravindrababu Ravula on youtube (First 6 videos cover ): https://www.youtube.com/watch?v=aGjL7YXI31Q&list=PLEbnTDJUr_IeHYw_sfBOJ6gk5pie0yP-0

Create an account on Interviewbit and solve the practice problems in the Time Complexity section.

Python Decorators

Decorators

SOLID Architecture

Watch videos.

Overview of SOLID

SOLID principles

Practice Data Munging problem (http://codekata.com/kata/kata04-data-munging).

Create proper classes. Try to apply OOPs concepts and do it using minimum amount of code.

SQL

Read up on RDBMS.

Rewrite the data project.

Write a script to import csv into table. Keep your TDD code same. But the source should be MySQL.

MVC

Go through Model View Controller design pattern. Implement it in Core Python using https://www.giacomodebidda.com/mvc-pattern-in-python-introduction-and-basicmodel/#conclusion

Flask, Celery, ElasticSearch, Deployment

Implement your choice of project with Flask.

First write user personas and user stories.

Example:

Blogging Engine with Authentication in Flask

* As a reader I should be able to (henceforth ISBAT) see all blogs.
* As a reader ISBAT register and register myself as a blogger. (Sign Up)
* As a reader ISBAT login and become blogger. (Authentication)
* As a blogger ISBAT create a blog post.
* As a blogger ISBAT delete my own blog post.
* As a blogger ISBAT update my blog post.

Bonus:

* As a reader ISBAT see an error page if I enter wrong URL. (Error Handling)
* As a reader ISBAT search any text. (Full text Search)
* As a reader ISBAT export blogpost as text file. (Use Celery for background jobs)

Deployment:

* Deploy your application using heroku.
* Deploy your application on a Linux server (preferably create and EC2 machine using an AWS account)
* Deploy your application using docker.

Django

Introduction to Django - thenewboston

Official Django Tutorial

Django Poll App (Django Docs)

Data Project - Round 2, Ansible

Django Data Project
* Use Django Custom Command to import data from csv into database
* Use Django ORM for making queries
* Use 5 routes for creating data, use Redis for caching
* Use 5 routes for using Highcharts to plot data on the frontend
* Use Ansible script to deploy on AWS

Web Architecture Overview

Session on Web Architecture Overview

REST

Session on APIs and REST.

1. Basics of REST APIs
2. RESTful Design - Best practices to use
3. Building good APIs - Using appropriate HTTP Response codes

Django REST Framework

Introduction to Django REST framework. Complete the quickstart and tutorial.

Update Django Data Project with DRF

- Create apis for matches
- Use 4 separate Git branches and implement:
  -- method based views
  -- class based views
  -- mixins based views
  -- generics
- Create apis for deliveries
  -- implement hyperlinking with matches
  -- implement pagination
- Implement viewsets and routers

Potential additions - Microservices, Messaging Queues, Load Balancers, Stress Testing

Capstone Project

The final project of the bootcamp.

Deliverables:

1. User Personas - How to define a User Persona
2. User Stories - Writing User Stories
3. Wireframes - Website Wireframes
4. API Contracts
5. Trello Board for managing and prioritising user stories
6. Gitlab Repository for managing the code
7. Deployment link for the project

Thanks.