Full Stack Python Training | Looping | Tuples | Panda | YAML Data | Demo - Radical Technologies

Realtime Full Stack Python Training with Placement Support... Radical Technologies - Live Online | Offline | Corporate Training in India & Abroad. ?!! Subscribe this Channel to access all Demo Sessions & Trainings from Radical Technologies !! Duration of Training : 100 hrs Classroom / Online / Corporate batches available Real Time Projects , Assignments , scenarios are part of this course ✳️ Schedule a time to talk with our Experts ☎️ Call : +91 8055223360 ✉️ Email : training@radicaltechnologies.co.in ? Web : https://www.radicaltechnologies.co.in/ ✅ Syllabus : https://www.radicaltechnologies.co.in/fullstack-training-python-pune-online #fullstack #python #fullstackpython #fullstackonlinetraining #pythonjobs #fullstacktutorial #fullstackcourse #ittraining #fullstackpythononlinetrainingpune #pythontraining #onlinetraining #fullstackpythoncertification #itcertification #ittraining #it PYTHON Course Content Introduction What is Python..? A Brief history of Python Why Should I learn Python..? Installing Python How to execute Python program Write your first program Variables & Data Types Variables Numbers String Lists, Tuples & Dictionary Conditional Statements & Loops if…statement if…else statement elf…statement The while…Loop The for…. Loop Control Statements continue statement break statement pass statement Functions Define function Calling a function Function arguments Built-in functions Modules & Packages Modules How to import a module…? Packages How to create packages Classes & Objects Introduction about classes & objects Creating a class & object Inheritance Methods Overriding Data hiding Files & Exception Handling Writing data to a file Reading data from a file Read and Write data from csv file try…except try…except…else finally os module Module 3:Getting started with Python Libraries what is data analysis ? why python for data analysis ? Essential Python Libraries Installation and setup Ipython Jupyter Notebook 7 VS 3.5 Module 5:Working with Pandas Installing pandas Pandas data frames Pandas Series Data aggregation with Pandas Data Frames Concatenating and appending Data Frames Joining Data Frames Module 6: Data Loading, Storage and file format Writing CSV files with numpy and pandas JSON Data YAML Data Module 7: Python Regular Expressions What are regular expressions? The match Function The search Function Matching vs searching Search and Replace Extended Regular Expressions Wildcard Module 8: Python Oracle Database Access Install the cx_Oracle and other Packages Create Database Connection CREATE, INSERT, READ, UPDATE and DELETE Operation DML and DDL Oepration with Databases Performing Transactions Handling Database Errors Disconnecting Database Module9: Django Module10: Flask Module11: RESTAPI Module 12: Plotting Graph on HTML Page Introducing Matplotlib Bar Charts Line Charts Scatter plots Bubble charts DJANGO Introduction to Django Web Framework Introduction to REST and API Introduction to Restful Webservices Django Rest Framework(DRF) DRF Advantages and Constraints Difference between Django and REST API REST API pre-requisites REST API Configuration and Installation Serialization and Deserialization JSON and XML Action and handler methods Function based and class based views API Views Mixins FLASK Section 1 Introduction to Flask Using Python packages Web frameworks Decorators Routes Running Flask locally Building a basic dynamic site Debugging a Python program Python Part 2 Booleans Conditional Statements Lists Indexing into strings + lists Looping over lists Section 2 Flask Exercises Part 1 Using HTML templates Jinja2 templating language Building a guess-the-number site Building a fortune teller site Python Part 3 Dictionaries APIs + JSON Requests package Parsing a JSON response Section 3 Flask Exercises Part 2 Advanced Flask features Building a stock price site Building a weather site Deploying Your Website Using a Platform-as-a-Service (PaaS) DNS basics Adding a custom domain

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