Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Certified Python & Pandas with Flask API -Complete Guide
Rating: 4.4 out of 5(35 ratings)
827 students

Certified Python & Pandas with Flask API -Complete Guide

You will learn Basics to Advanced Python, Pandas Framework, Database query with Python and Flask API Web framework
Created byAbilash Nair
Last updated 9/2022
English
English [Auto],

What you'll learn

  • Learn to use Object Oriented Programming with classes!
  • Learn Popular Pandas Data Processing Framework to do effective data processing
  • Learning to use Python to Query Databases
  • API creation with web-framework Flask
  • Understand how to use Anaconda & Jupyter Notebook
  • Pickling Python Objects & Exception Handling

Course content

6 sections • 22 lectures • 3h 47m total length

  • Course Introduction - About the course0:57
  • Get started with Anaconda & Python5:05

    The jupyter ipynb file for the python code is attached. Please download and import to anaconda jupyter.

  • Python Strings , Numbers and Data Types12:17
  • Python Logical Operations & Conditional Statements22:20

    Master Python indentation, conditional statements, and logical operators, then explore string and list operations—indexing, length, lower, upper, replace, split, and append, insert, remove, pop, clear.

  • Python Logical Operations & Conditional Statements - Part 224:34

    Learn how dictionaries store data as key-value pairs, access and modify entries, and control flow with for and while loops, break, continue, and range in Python.

  • Python Reusable Code Functions3:34
  • API call pre data conditioning with JSON8:41
  • API call , Request and Response, Shallow & Deep Copy21:57

    Discover the difference between shallow copy and deep copy in Python, using the copy module, and learn how API calls, requests, and JSON parsing power Flask API interactions.

  • Exception Handling9:12

    Master exception handling by using try and except to catch errors, report them, and keep programs running through file access, division by zero, and database connections.

  • Pickle Object5:56

    Understand how to pickle any object by converting it to a binary format. Dump it to a file and load it back to retrieve data.

  • Exception & Pickle Assignment
  • Generic Function Code

Requirements

  • Eagerness to Learn Python

Description

Highlights of course:

  • Designed for working professional for quick learning in 2 hours.

  • The course is designed in easy to learn format & making it easy for non-programmers.

  • Utilizing Pandas to perform data processing for data science.

  • Develop applications using Object oriented concepts

  • Develop applications with Flask Web framework and Database with Python.

  • The course is a pre-requisite to learning & building machine learning algorithm.

  • Master Data processing skills which are most integral skills for data science professions & application developers.

Detailed Description:

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search.

And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course.

By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

Who this course is for:

  • Students
  • Python Programmers
  • Developers

Report abuse