Python Training

Python is basically an open source language which is supposed to make the programs clearer, rather than the complex codes in some other high level languages. Object Oriented Programming (OOP), functional programming are the various paradigms supported by the Python environment. It also has exciting features like a dynamic system and automatic memory management among others. The implementation can simply function as a command line interpreter, thanks to its highly extensible shell like feature.  Indispensable for data scientists in the current day scenario for its extensive applications in building applications for machine learning, Python is also used by websites like YouTube and Dropbox in a huge manner.

In a survey conducted by PyCharm three quarters of all the participants used Python as their main language for development, and the rest used as a supplementary language. Python is also beige increasingly used in neuroscience, to build software and also in the filed of neuroinformatics.

The faculty and management sit together and meticulously plan each and every aspect of Python training course by laying out a blueprint that's beneficial to each and every student of ours. Reviews are taken in regular intervals of time along the course to make the learning experience and enhance customer satisfaction to the maximum level possible. We are certain that you will be professional like in the Python language and confident to face the corporate world after this training program. So stop thinking, because it’s time to act.

A project is given at the end to revise all the concepts learned in the course. It is designed to test all the skills that you’ve learnt in an enriching manner.

Since this is an introductory course, we will be starting everything right from the beginning keeping a newcomer in mind. Therefore, no prerequisites for the course.

In a survey conducted by PyCharm, Python is mainly being used for web development purposes, followed by scientific and data analysis, software development, system administration, testing and games. Data Analysis is the latest hot thing in the market and is soon expected to catch up with web development. In the recently organised “Code to Learn” contest by Google, it found that an astonishing 7 out of 10 students want to learn coding using Python. This is how much Python is in demand in the present day corporate world.

As we delve into this module we learn about the advantages and disadvantages of using Python. Further we learn why interpreter is used and Interpreter PATH, and scripting Python Script in Unix and Windows. We also learn about variables and keywords, and the various editors available for writing python code.

Pros and Cons of Python
Starting Python 
Interpreter PATH
Interpreter and its Uses
Python Script execution 
Python Scripts for different OS (Unix/Windows)
Console editors and IDE’s to write code
Usage of variables, keywords, operators, expressions, strings and functions in-built in python 
Displaying output to the screen 
Formatting a string 
Flow Control and Command line parameters.
Sequences and Operations on Files 

We also see the operations on files that help us enumerate(), x range function and also generator expressions.
Indexing, Slicing, Lists and Tuples
Looping through a given sequence 
Sequence Functions in Python 
Usage of Enumerate()
Sequence Keywords and operators 
x range () and its uses
Generator Expressions in Python
Dictionaries and Sets.
Delving deeper into the Python Course

The various methods of sorting and Exception Handling.
Functions and their corresponding parameters 
Global Variables
Variable Scope and Return Values 
Techniques for sorting 
Lambda Functions
Collections Sorting 
Lexicographic sorting 
List Sorting 
Errors and handling of exceptions 
Multiple Exception Handling
Hierarchy of Exceptions 
Module usage in Python 
Import statement in Python
Module Search Path
Methods to install packages 
Object Oriented Programming and various expressions and Packages in Python Language.

The Sys Module
Information of the Interpreter 
STuDIO
How to launch external programs 
Paths
Directories and Filenames
Traversing the Directory Trees
The ever important- Math function 
Rand function 
Times and Dates using Python 
Compressed Archives 
Classes in Python
Basic definition of classes 
Initializers
Instances and Methods in Python
Data Handling and Class Methods 
Static Methods, Private Methods 
The important concept of Inheritance
Module Aliases 
Debugging code, Handling Databases And Project Skeletons

Code Debugging
Handling errors 
Usage of Tests
Project Skeleton
Necessary packages 
Making the skeleton
Project Directory
Structure of the Directory 
Setup testing
Executing the Skeleton
Database Creation using SQLite3
CRUD Operations
Database Objects

In the final module we get a taste of the power of Web Scarping using Python and solve a project applying all the concepts that we have learnt along the length of the course.
Web Scraping and its applications 
Beautiful Soup Package in Python- An Introduction 
Scraping of Web Pages
Project to demonstrate scraping of data from websites including Google and IMDB in real time.

The trainers are highly qualified software professionals an have years of working experience in Python to students across various universities.

The video lecture are recorded and uploaded on the website for your reference further. Just login and study anytime you want to.

The final project covers all the basic and advanced functionalities of Python that you are going to learn in the course. Therefore, it is highly recommended that you finish the project as it acts like a comprehensive revision of the entire syllabus and also as a practical experience for you.

The refund will be done only within 48 hours of the initial payment. No request further that time will be entertained by us. The money will be transferred directly to your bank account in 30 days, and we urge you to have patience until then.