Course Description
Introduction:
There are many high-level languages. Python is one of the easiest languages to learn and use, while at the same time being very powerful. It is used by many of the most highly productive professional programmers. A few of the places that use Python extensively are Google, the New York Stock Exchange, Industrial Light and Magic. Python is used in different types of domains such as Big Data, Data Analysis, Rich Web and Internet Development, Game and 3D Graphics, Software Development, Database Access and so on.
Some Important Points in This Course:
This course will cover the installation, configuration, development and deployment of Python Programming Language and build Web Sites using the python. About 50% of the time will be instructor presentation and about 50% will be hands on labs.
Who can attend?
Python is widely used in a diverse range of works, from web, to network, to application. Due to its diversity, it is as helpful for fresh graduates, as it is to an experienced. Python has a range of libraries, very suitable for data analysis and plotting, therefore people working in the field of statistics and data analytics can be greatly benefitted from the course. Also, with the advantage of easy syntax, fresh graduates usually find it easy to learn. Along with the programming knowledge, this segment of participants will gain an insight on the technologies used in real life. Having knowledge in programming language is preferable but not mandatory.
Key Features
Course Details
This course will cover the installation, configuration, development and deployment of Python Programming Language and build Web application using the python. About 50% of the time will be instructor presentation and about 50% will be hands on labs.
Overview
| 1 | Getting started |
| 2 | Python language basics |
| 3 | Python OOP |
| 4 | Building a real world Application |
| 5 | Packaging and Deploying |
| 6 | Future |
Getting started
| 1 | Installing Python
Testing the environment Installing pip Installing virtualenv Setting up a virtual environment Using virtual environment |
Python language basics
| 1 | Using numbers, mathematics. Using variables. Various operations with variables
Numerical operations Variables Operators and variables |
| 2 | Strings
String operations Conversion of types User input Interactive scripts |
| 3 | Functions
Declaring functions Arguments Variable number of arguments Scope Lambda |
| 4 | If condition
Else condition If..Else |
| 5 | Loops
For loops While loops Files Writing to a file Reading from a file Modifying / Updating a file |
| 6 | Lists
Tuples Sets Dictionaries Index Slicing Sorting |
Python OOP
| 1 | Object orientation
Classes Instances Methods Special methods Class variables |
| 2 | Inheritance
Polymorphism |
Web programming
| 1 | Difference between normal programming and web programming
Elements of a web application Role of Python in web applications Introduction to frameworks |
| 2 | Benefits of using a framework
Introduction to Flask Installing Flask Understanding Flask directory structure Writing the first Flask application Dissecting Flask application workflow |
| 3 | A simple web application in Flask
Navigation using Links / Menus User input using Forms Interactive web pages |
| 4 | Connecting to a Database
Inserting data into Database Updating data Deleting from Database |
| 5 | User sessions
Building a login form Checking user existence in Database Logging a user into the application Logging a user out of the application Personalized web pages |
Building a real world Application
| 6 | Concept of Application
Understanding application requirements Initial application structure Building our first Template |
| 7 | Building a template layout system
Understanding template directives Integrating CSS stylesheets Integrating Javascript Building project homepage |
| 8 | Implementing a menu system
Building a login form Detecting user types Showing personalized content |
| 9 | Building a table
Populating table with data Paginating table for better user experience |
| 10 | Building a data entry form
Processing data entry form Creating models |
| 11 | Building a model update form
Processing model form Updating model data |
| 12 | Building an accounting dashboard
Populating dashboard with data |
Packaging and Deploying
| 1 | Packaging the project
Declaring module requirements Writing a setup script Setting up a deployment server Deployment Deployment alternatives |
Future
| 1 | Deploying project as a module
More framework choices Integrating advanced libraries Open source contribution |
