Python Training Course

✅ What is Blockchain?

✅ What is Python?

✅ Features of Python

✅ How Python is different from other languages?

✅ Installation of Python

✅ Installation of Anaconda Python distribution for Windows, Mac, Linux

✅ Introduction to Pandas

✅ Data structures in Pandas

✅ Features of Pandas

✅ Basic Operations in Python

✅ Python Operators Precedence

✅ Indentation(Tabs and Spaces) and Code Comments

✅ Variables In Python

✅ Variable Names in Python

✅ Built-in Data Types in Python

✅ Numbers in Python

✅ Introduction to Python Statements

✅ if, elif, and else Statements

✅ for Loops

✅ while Loops

✅ Useful-Operators

✅ List Comprehensions

✅ Classes - classes and objects, access modifiers instance and class member

✅ OOPS paradigm - Inheritance, Polymorphism and Encapsulation in Python

✅ Functions: Parameters and Return Types

✅ Lambda Expressions, Making a connection with Database for pulling data

✅ Map-and-Filter

✅ Open a File, Read from a File

✅ Write into a File

✅ Resetting the current position in a File

✅ The Pickle (Serialize and Deserialize Python Objects

✅ The Shelve (Overcome the limitation of Pickle Data structures in Pandas.

✅ What is an Exception

✅ Raising an Exception

✅ Catching an Exception

✅ Zip

✅ Enumerate

✅ Filter

✅ Map

✅ Reduce

✅ all() and any()

✅ Complex

✅ Decorators

✅ Iterators and Generators

✅ Arrays and Matrices, ND-array object

✅ Array indexing, Datatypes, Array math

✅ Broadcasting

✅ Std Deviation, Conditional Prob, Covariance, and Correlation

✅ Nodejs

✅ Builds on top of NumPy

✅ SciPy and its characteristics

✅ Sub-packages: cluster, fftpack, linalg, signal, integrate, optimize, stats

✅ Bayes Theorem using SciPy

✅ Plotting Graphs and Charts

✅ Subplots

✅ Dataframes, NumPy array to a dataframe

✅ Import Data (CSV, JSON, Excel, SQL database

✅ Data operations

✅ Introduction to Machine Learning

✅ Linear Regression

✅ Time Series

✅Introduction to Natural Language Processing

✅ NLP approach for Text Data

✅ Environment Setup(Jupyter Notebook)

✅ Sentence Analysis

✅ ML Algorithms in Scikit-Learn

✅ The Matplotlib API

✅ What is Bag of Words Model

✅ Feature Extraction from Text

✅ Model Training

✅ Search Grid

✅ Multiple Parameters

✅ Build a Pipeline

✅ Inline Assembly

✅ What is Web Scraping

✅ Web Scraping Libraries

✅ Installation of Beautifulsoup

✅ Install lxml Python Parser

✅ Making a Soup Object using an input HTML

✅ Navigating Py Objects in the Soup Tree

✅ Implementing Smart Contracts

✅ Collections Module

✅ Datetime

✅ Python Debugger (pdb)

✅ Timing your code – timeit

✅ Regular Expressions – re

✅ StringIO