Location:Main Road, Bangalore


Learn About Python And Blockchain The Complete Guide




Python Online Training Institute


Freshers and Career Changers


Online and Offline Classes


Week Days and Week Ends

Duration :

30 to 45 days

Python What will you learn?

•How to work with Python Tool.
•Python Script How to apply and use it.
•How to write clean production-ready code using Python.
•How to perform read and write operations in Python.
•The Concepts Of Python Language From Basic To advance
•How to build your own apps and scripts using Python.
•This course will teach you how to get moving in Python.
•Learn the core fundamentals of Python to fast-track your development process
•Learn to build applications on the most flexible enterprise platform for Distributed applications.

learn about python and blockchain the complete guide Training Highlights

•Post training offline support available
•Course has been framed by Industry experts
•Real time live project training and Guidance
•Best Opportunity To Both Learn And Work From Home
•Fast track and Sunday Batches available on request
•Repeating of lectures allowed (based on seat availability)
•Training time :  Week Day / Week End – Any Day Any Time – Students can come and study
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Python

•Amazon Web Services Administration, Cloud Database Administration, Hadoop Bigdata Administration, Openstack Database Administration, Salesforce Database
•It Software, .net c# asp.net, Java Developer, technical support engineer, Automation Testing, Software Engineer, java, Basis, Sap Basis, Netweaver, Solution
•Javascript, CSS, UI Development, Html5, JSON, MySQL, Spring Boot, Design Patterns, NoSQL, Algorithms, Ui Developer
•Qa Testers / Developers, Full Stack Developers – Backend / Frontend, Power Bi, Market Intelligence
•Webmethods, Spot Fire, Tableau, Sap, Dwh, Oracle Apps, Oracle Dba, Calypso, Murex, Ui Developer, Core Java, Peoplesoft, Jd Edwards, Dot Net, Liferay, C++


Blockchain 101
•Intro to Blockchains 101
•What is a Blockchain
•What is Decentralization
•How are Blockchains Structured
•How are Blocks Mined
•Summary of Blockchains 101
•Decentralized Apps 101
•Intro to Decentralized Apps 101
•What is The Ethereum Blockchain
•What are Decentralized Apps
•How Do Decentralized Apps Work
•What are the Smart Contracts
•Summary of Decentralized Apps 101
•Solidity Language Basics
•Common Types – Booleans
•Common Types – Integers
•Common Types – String
•Common Types – Adresses
•Arrays – Intro to 1D and 2D Arrays
•Arrays – Basic Operations
•Arrays – Storage Vs Memory, Value Vs Reference Types
•Functions – Solidity Syntax, Constructor, Events
•Functions – Parameter and Return Values
•Functions – Keywords and Modifiers
•Control Flow – If Statements
•Control Flow – While Loops
•Control Flow – For Loops
•Contracts – Structure and Set up
•Contracts – Instantiation, Getters, Setters
•Simple Voting Decentralized App
•Intro to Building a Voting System
•Building the Smart Contract Skeleton
•Implementing The Smart contract
•Building the Interface – HTML
•Building the Interface – CSS
•Building the Interface – Javascript
•Installing Test RPC
•Connecting Smart Contract and App Interface
•Using Smart Contract Functions – Cast Vote
•Using Smart Contract Functions – Announce Winner
•Project Summary and Outro
•Project Files
•Learn to use Pycharm
•Introduction to Pycharm
•Downloading and Installing Unity
•Exploring Pycharm Interface
•Add and Run Python Files
•Building and Running a Simple Program
•Learn Python Language Basics
•Variables, Syntax and Basic Types
•Variable Operations
•Tuple and Lists
•If Statements
•While and For In Loops
•Function Implementation and Execution
•Parameters and Return Values
•Intro to Classes Objects
•Subclasses and Superclasses
•Summary and Outro
•Intro to Machine Learning
•Intro to Neural Networks
•Intro to Convolutions
•Tensorflow and Keras
•Intro to Tensorflow and Keras
•Understanding Keras Syntax
•Intro to Activation Functions
•CIFAR, Data Points, and Input Images
•Exploring CIFAR10 Dataset
•Understanding Specific Data Points
•Formatting Input Images
•Building and Training the Model
•Building the Model
•Compiling and Training the Model
•Gradient Descent and Optimizers
•H5 and Protobuf File
•Saving and Loading Model to H5