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.

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.