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Regent iTech - Software Training Institute

Corporate, Online and Classroom Trainng

Advanced Technology Hands On Training

Software Development - Mobile and Web

www.regent-itech.com   Call:9513325606

Python and Python Analysis for Beginners & Programmers. General purpose programming language can be used for variety of tools, utility, aapplication development

Python Training

what is Python?

General purpose programming language can be used for variety of tools, utility, aapplication development

Why Python?

Can be used in varied application development

Can be used XML and Natural langugae Processing

Networking and Services

GUI applications

Data Anytics and Big data processing etc

Benefits of using Python::

Simple and easy to learn

General purpose language used for any software development activities

Plethora of users and large community

Python is versatile in features and less programming codes

Plenty of Support Libraries

Integration with varity of applications

Non Benefits of python:

Mostly used for analytics , data capturing and data collection applications

May not be widely used for web applications where other programming languages dominates

Not a enterprise and mobile applications choice

Who ought to Attend the course ?

For those that needs to understand python programming and implementation

internet developers, Technical leads and others

For those who work on product or service.

For those that needs to become professional in python internet development.

For managers or ends up in manage comes or for hiring.

to use application development techniques to a personnal project.

What you Learn ?

Part 1

Applications and Frameworks

Get Started with programming

Variables and Data Types

Operators and Expressions

Control Structure

Sequence Types,Dictionaries and Sets

List Comprehensions

Functions, Local, Non Local & Global Variables

Anonymous and Lambda Functions

Part 2

Files and Exception Handling

Date, Time and Calendar API

Command Line Frameworks

Regular Expressions and Parsing

Graphics and GUI

Part 3

OOPS Concepts,Classes and Objects

Super class and User Defined Classes

Default Attributes and Methods

Function and Operator Overloading

Inheritance and Multiple Inheritance

Function Overriding and Polymorphism

class method and Static method

Descriptors and Interceptors

Properties and Attribute Access

Iterators, Generators and Decorators

Streams & Context Manager

Part 4

Database Programming

Sockets and Networking

Logging and Debugging

Modules and Packages

Distributing Applications

Unit and Integration Testing

Documentation and Best Practices

Project, Assignments and Tests

Key deduct from course

Python Application Development expertise

Project Implementation and hands on concepts

Python coaching Material and program Samples

In depth core python programming coaching

About Trainer

Training are going to be conducted by subject material professional in software package Development, product and Technology coaching.

The syllabus includes planned sessions with displays, sensible exercises and hands on project implementation.

PythonAnalysis Training ,pandas,web scraping, Analysis etc ,Visualization Tools,NLK.

Part 1

Introduction, Applications and Frameworks, Get Started with programming, Variables and Data Types, Operators and Expressions , Control Structure, Sequence Types, Dictionaries and Sets , List Comprehensions, Functions, Local, Non Local & Global Variables, Anonymous and Lambda Functions

Part 2

Environment Set Up , Anaconda, IPython Shell, IPython Notebooks, Pycharm, Spyder IDE, Run Python scripts, Loading packages, namespaces

Part 3

Numerical Analysis using NumPy, Introduction to NumPy, NumPy overview , Creating NumPy arrays , Doing math with arrays , Indexing and slicing , Records and dates , Downloading and parsing data files , Using Scipy

Part 4

Accessing and Preparing Data, Acquiring Data with Python, Loading from CSV files, Accessing SQL databases, Cleansing Data with Python, Stripping out extraneous information, Normalizing data, Formatting data, Debugging, Code profiling

Part 5

Data manipulation with Pandas, Pandas overview , DataFrames in pandas , Using multilevel indices, Series in pandas , Statistical analysis , Grouping, aggregating and applying, scipy.stats , Tabular Data Analysis with Pandas , Data Munging in Python using Pandas

Part 6

Advanced Analytics, SciPy and Scikit , Data Modelling , Machine Learning with scikit-learn, Estimator, predictor, transformer interfaces, Pre-processing data , Building a Predictive Model , Regression , Classification , Model selection , Logistic Regression , Decision Tree, Random Forest

Part 7

Visualization Tools , Overview , Mathplotlib , Numpy , Seaborn , Input: 2D, samples, and features , statistical graphics , Data Reporting , Extract datasets for specific reports (routine and adhoc) , Prepare reports on observed trends and patterns( Daily/weekly/monthly & quarterly , Develop graphs, reports, and presentations based on observation., Create management dashboards based on derived data collections.

Part 8

Web Scrapping & NLK , NLK, Scrapy.py, urllib , Pylib , Beautiful soup

Part 9


Office Address

No - 1328, 24th 'A' Main, 41st Cross, Jayanagar 9th Block, Jayanagar, Bangalore. Karnataka, India - 560041. Landmark :opposite to Ragigudda / Central Mall , Behind Big Bazaar, Near Jain University & Opposite to LensKart.com and Himalaya Drugs , Call : 9886272445 / 9513325606