Python Training

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Course Stats

Course Outcome

Project Workout

Pre-Requisites

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Course Objectives

Concise introduction to python

• 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 

Sequences in Python and their corresponding functions

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

Functionalities of Python like functions, variables

• 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.

Object Oriented Programming feature, and also the various packages and methods.

• 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

We learn a huge range of things in this module that include

• 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

Python Web Scraping and Final Project

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.

What are the qualifications of the trainers?

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

What should I do if I miss a class in case of an emergency?

How is the final project beneficial to the course?How is the final project beneficial to the course?

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

What are the refund policies in case I cancel my enrollment?

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.

Are the classes held live online?

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.