Full Stack Python Developer - Upskill with Webdroid

About Course

A Full Stack Python Developer specializes in building web applications using Python for both the front-end and back-end. They use frameworks like Django or Flask to handle server-side logic and connect to databases, while managing front-end development with HTML, CSS, and JavaScript. They are also skilled in working with APIs, databases, and deployment tools. Their expertise allows them to develop complete and scalable web applications, efficiently managing the entire development cycle from design to deployment.

Front-end development using HTML, CSS, and JavaScript.
Python-based web frameworks like Django or Flask for back-end development.
Database management with SQL (e.g., PostgreSQL, MySQL) or NoSQL (e.g., MongoDB).
API development and integration using RESTful and GraphQL services.
User authentication, session management, and security practices.
Template engines like Jinja2 for dynamic web pages.
Version control using Git and GitHub for collaboration.
Deployment and hosting on cloud platforms like AWS, Heroku, or Docker.

Course Content

Introduction to Python

Need for programming

00:00
Advantages of programming

00:00
Overview of python

00:00
Organizations using python

00:00
Python Applications in various domains

00:00
Variables

00:00
Operands and expressions

00:00
Conditional statements

00:00
Loops

00:00
Structural pattern matching

00:00

Sequences and File Operations

Functions and Object-oriented Programming

User-defined functions

00:00
Function parameters

00:00
Different types of arguments

00:00
Global variables

00:00
Global keyword

00:00
Lambda functions

00:00
Built-in functions

00:00
Object-oriented concepts

00:00
Public, protected and private attributes

00:00
Class variable and instance variable

00:00
Constructor and destructor

00:00
Inheritance and its types

00:00
Method resolution order

00:00
Overloading and overriding

00:00
Getter and setter methods

00:00

Working with Modules and Handling Exceptions

Standard libraries

00:00
Packages and import statements

00:00
Reload function

00:00
Creating a module

00:00
Important modules in python

00:00
Sys module

00:00
OS module

00:00
Math module

00:00
Date-time module

00:00
Random module

00:00
JSON module

00:00
Regular expression

00:00
Exception handling

00:00

Array Manipulation using NumPy

Data Manipulation using Pandas

Introduction to Pandas

00:00
Data structures in Pandas

00:00
Series

00:00
Data Frames

00:00
Importing and exporting files in Python

00:00
Basic functionalities of a data object

00:00
Merging of data objects

00:00
Pivoting a dataframe

00:00
Concatenation of data objects

00:00
Types of joins on data objects

00:00
Data cleaning using Pandas

00:00
Exploring datasets

00:00

Data Visualization using Matplotlib and Seaborn

Why data visualization?

00:00
Matplotlib library

00:00
Seaborn

00:00
Line plots

00:00
Multiline plots

00:00
Bar plot

00:00
Histogram

00:00
Pie chart

00:00
Scatter plot

00:00
Boxplot

00:00
Saving charts

00:00
Customizing visualizations

00:00
Saving plots

00:00
Grids

00:00
Subplots

00:00
Heatmaps

00:00

GUI Programming

Developing Web Maps and Representing Information using Plots (Self-paced)

Web Scraping and Computer Vision using OpenCV (Self-Paced)

Beautiful Soup library

00:00
Scrapy

00:00
Requests library

00:00
Scrap All hyperlinks from a webpage using Beautiful Soup and Requests

00:00
Plotting charts using Bokeh

00:00
Plotting scatterplots using Bokeh

00:00
Image editing using OpenCV

00:00
Face detection using OpenCV

00:00
Motion detection and capturing video

00:00

Database Integration with Python (Self-Paced)

Basics of database management

00:00
Python MySql

00:00
Create database

00:00
Create a table

00:00
Insert into table

00:00
Select query

00:00
Where clause

00:00
OrderBy clause

00:00
Delete query

00:00
Drop table

00:00
Update query

00:00
Limit clause

00:00
Join and Self-Join

00:00
MongoDB (Unstructured)

00:00
Insert_one query

00:00
Insert_many query

00:00
Update_one query

00:00
Update_many query

00:00
Create_index query

00:00
Drop_index query

00:00
Delete and drop collections

00:00
Limit query

00:00

About Course

What Will You Learn?

Course Content

Introduction to Python

Need for programming

Advantages of programming

Overview of python

Organizations using python

Python Applications in various domains

Variables

Operands and expressions

Conditional statements

Loops

Structural pattern matching

Sequences and File Operations

Accepting user input and eval function

Files input/output functions

Lists

Tuples

Strings manipulation

Sets and set operations

Python dictionary

Functions and Object-oriented Programming

User-defined functions

Function parameters

Different types of arguments

Global variables

Global keyword

Lambda functions

Built-in functions

Object-oriented concepts

Public, protected and private attributes

Class variable and instance variable

Constructor and destructor

Inheritance and its types

Method resolution order

Overloading and overriding

Getter and setter methods

Working with Modules and Handling Exceptions

Standard libraries

Packages and import statements

Reload function

Creating a module

Important modules in python

Sys module

OS module

Math module

Date-time module

Random module

JSON module

Regular expression

Exception handling

Array Manipulation using NumPy

Basics of data analysis

NumPy – Arrays

Array operations

Indexing, slicing, and Iterating

NumPy array attributes

Matrix product

NumPy functions

Array manipulation

File handling using NumPy

Data Manipulation using Pandas

Introduction to Pandas

Data structures in Pandas

Series

Data Frames

Importing and exporting files in Python

Basic functionalities of a data object

Merging of data objects

Pivoting a dataframe

Concatenation of data objects

Types of joins on data objects

Data cleaning using Pandas

Exploring datasets

Data Visualization using Matplotlib and Seaborn

Why data visualization?

Matplotlib library

Seaborn

Line plots