Python courses & Python teachers – best Python programming training institute in Kolkata

Python tutors in Kolkata, teach Python programming courses of CBSE ISC B.Tech syllabus. Python is the most trending programming language in computer science field. Many data scientists are using Python Object Oriented Programming Language for many other big projects of computer science field and other fields.

Now Python language is being used extensively. So for this reason of high usage of python language in many fields like artificial intelligence, machine learning, big data science and most of the others fields.. very recently Python language training courses has been included in the computer science syllabus of CBSE , ICSE / ISC, B.Tech Computer Science and other school level board syllabus, specially for the national and international boards in India.

For this reason we teach Python programming language courses to the students of West Bengal Board, CBSE board, ICSE, ISC board and B.Tech students by the expert Python programmers and Python teachers in Kolkata. For other computer science tutor in Kolkata for CBSE ISC ICSE board students click here

If you are seeking a Python tutor in Kolkata, python programming language home tutor or private tutor, or if you are an individual & want to learn Python programming language courses for your own job, then you can contact us for a Python teacher in Kolkata in Jadavpur, Garia, New Garia, Baghajatin, Naktala, Tollygunge, Ballygunge, Gariahat, Rajpur, Sonarpur Narendrapur, Baraipur, Santoshpur, Golpark, South City and some other areas in Kolkata.

Some other courses in Kolkata on computer programming-


CBSE Syllabus Class 11 class 12-Computer Science

CBSE class XII-12 syllabus of Computer Science / Python

Unit 1: Object Oriented Programming with Python (50 theory+ 40 practical) periods

REVIEW: Python covered In Class-XI

Concept of Object Oriented Programming: Data Hiding, Data Encapsulation, Class and Object, Polymorphism, inheritance, advantages of Object Oriented Programming over earlier programming methodologies,

Classes: Defining classes (attributes, methods), creating instance objects, accessing attributes and methods, using built in class attributes (dict, doc, name, module, bases), Constructor( _ _init()_ _ ,_ _del()_ _ and _ _str()_ _) methods in a class, private attributes (limited support), importance of “self” (acts as a pointer to current calling object) operator overloading with methods.

Inheritance:

Concept of base class and derived class: Single, multilevel and multiple inheritance-Overriding methods, using super() in derived class to invoke _ _init()_ _ or overridden methods of parent class.

Unit 2: Advance Programming with Python ( 42 Theory + 36 Practical ) Periods

Linear List Manipulation: Sequential allocation,traversal,insertion of an element in a sorted list, deletion of an element from the list, searching (linear, binary), sorting (insertion, selection, bubble).

Stacks (List Implementation): Introduction to stack (LIFO Operations ), operations on stack (PUSH and POP ) and its implementation in python.

Converting expression from infix to postfix notation and evaluation of postfix expression.

Queues (List implementation)– Introduction to Queue(FIFO) , Operations on Queue (INSERT and DELETE) and its implementation in Python.

Data File

Need for data file, types of data file–text and binary, opening and closing files-open(), close( ), access modes (output, input, default),file object, access_modes, reading and writing a file read(), readline(), readlines(), write(), writelines file positions (seek(), tell()), renaming and deleting a file.,flush();

Implementation of basic file operations on text and binary file in Python: Creating/writing data into file, reading and displaying data from file, searching for particular data from a file,insertion and deletion of data from an already existing file, modification of data in file.

Error and Exceptions–NameError, IndexError, TypeError, IO Error, ImportError, ValueError, EOFError.

Generator function using Yield.

Unit 3: Databases and SQL (20 Theory + 20 Practical)  Periods

Data base Concepts: Introduction to data base concepts and its need.
Relational data model: Concept of domain, tuple, relation, key, primary key, alternate key, candidate key;
Relational algebra : Selection, Projection, Union and Cartesian product;

Structured Query Language:

General Concepts: Advantages of using SQL, Data Definition Language and Data Manipulation Language;
Data Types: NUMBER/DECIMAL, CHARACTER/VARCHAR/VARCHAR2, DATE;

SQL COMMANDS: CREATE TABLE, DROP TABLE, ALTER TABLE, UPDATE ….SET…., INSERT, DELETE;
SELECT, DISTINCT, FROM, WHERE, IN, BETWEEN, GROUP BY, HAVING, ORDER BY;

SQL functions: SUM(), AVG(),COUNT(), MAX() AND MIN(); Obtaining results (SELECT query) from 2 tables using equi-join, Cartesian product and Union
Note: Implementation of the above mentioned commands could be done on any SQL supported software on one or two tables.

Unit 4: Boolean Algebra                         (16 Theory + 0 Practical) Periods

Role of Logical Operations in Computing.

Binary-valued Quantities, Boolean Variable, Boolean Constant and Boolean Operators: AND, OR, NOT; Truth Tables; Closure Property, Commutative Law, Associative Law, Identity law, Inverse Law, Principle of Duality, Idempotent Law, Distributive Law, Absorption Law, Involution Law, DeMorgan’s Law and their applications;

Obtaining Sum of Product (SOP) and Product of Sum (POS) form the Truth Table, Reducing Boolean Expression (SOP and POS) to its minimal form, Use of Karnaugh Map for minimization of Boolean expressions (up to 4 variables);

Application of Boolean Logic: Digital electronic circuit design using basic Logic Gates (NOT, AND, OR, NAND, NOR)

Use of Boolean operators (NOT, AND, OR) in SQL SELECT statements

Use of Boolean operators (AND, OR) in search engine queries.

Unit 5: Communication Technologies (16 Theory + 3 Practical) Periods

Evolution of Networking: ARPANET, Internet, Interspace Different ways of sending data across the network with reference to switching techniques (Circuit and Packet switching).

Data Communication terminologies: Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data transfer rate (bps, Kbps, Mbps, Gbps, Tbps).

Transmission media: Twisted pair cable, coaxial cable, optical fiber, infrared, radio link, microwave link and satellite link.

Network devices : Modem, RJ45 connector, Ethernet Card, Router, Switch, Gateway, wifi card.

Network Topologies and types: Bus, Star, Tree, PAN, LAN, WAN, MAN.

Network Protocol: TCP/IP, File Transfer Protocol (FTP), PPP, SMTP, POP3 Remote Login (Talent), and Internet Wireless/Mobile Communication protocol such as GSM, CDMA, GPRS, and WLL.

Mobile Telecommunication Technologies: 1G, 2G, 3G and 4G; Mobile processors;

  • Electronic mail protocols such as SMTP, POP3
  • Protocols for Chat and Video Conferencing VOIP
  • Wireless technologies such as Wi-Fi and WiMax

Network Security Concepts:

  • Threats and prevention from Viruses, Worms, Trojan horse, Spams.
  • Use of Cookies, Protection using Firewall, https;
  • India IT Act, Cyber Law, Cyber Crimes, IPR issues, hacking.

Introduction To Web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML); Hyper Text Transfer Protocol (HTTP); Domain Names; URL; Website, Web browser, Web Servers; Web Hosting, Web Scripting – Client side (VB Script, Java Script, PHP) and Server side (ASP, JSP, PHP), Web 2.0 (for social networking)

E-commerce payment transactions using online banking, mobile banking and payment apps and services.

Class XII (Practical)             Python        Duration: 3 hours Total Marks: 30

1. Programming in Python                                                              10
One programming problem in Python to be developed and tested in Computer Lab during the Examination. Marks are allotted on the basis of following:

  • Logic : 6 Marks
  • Documentation/Indentation : 2 Marks
  • Output presentation : 2 Marks

Note: The types of problems to be given will be of application type developed using classes from the following topics.

* String
* Lists/Tuples
* Dictionary
* File Operations

2. SQL Commands                                                                                05
Five Query questions based on a particular Table/Relation to be tested practically on Computer during
the examination. The command along with the result must be written in the answer sheet.

3. Project Work                                                                                        05
The project has to be developed in Python language with Object Oriented Technology.
(The project is required to be developed in a group of 2-4 students)
* Presentation on the computer
* Project report (Listing, Sample, Outputs, Documentation)
* Viva

4. Practical File                                                                                        06
Must have minimum 20 programs from the following topics
* Lists (general, stack, queue)
* File Handling
* Programs based on Object Oriented Concepts
* 15 SQL commands along with the output based on any table/relation
*1 mark is for innovating while developing programme.

5. Viva Voce                                                                                             04
Viva will be asked from syllabus covered in class XII and the project developed by student.

GUIDELINES FOR PROJECTS (Class XI and XII)

1. Preamble

1.1 The academic course in Computer Science includes one Project in each year. The Purpose behind this is to consolidate the concepts and practices imparted during the course and to serve as a record of competence.

1.2 A group of 2-4 students as team may be allowed to work on one project.

2. Project content

2.1 Project for class XI can be selected from the topics mentioned in the syllabus or domains on similar lines.

2.2 Project for class XII should ensure the coverage of following areas of curriculum:

a) Problem Solving
b) Object Oriented Programming in Python
c) File Handling

Theme of the project can be

* Any Scientific or a fairly complex algorithmic situation
* Quizzes/Games
* Tutor/Computer Aided Learning Systems

2.3 The aim of the project is to highlight the abilities of algorithmic formulation, modular programming, systematic documentation and other associated aspects of Software Development.

2.4 The assessment would be through the project demonstration and the Project Report, which should portray Programming Style, Structured Design, Good documentation of the code to ensure readability and ease of maintenance.