- Experienced faculty
- Simplified explanations
- Theoretical Concept / Practicals
- Practice Questions and Regular tests
- Doubt clearing, Discussion & Mock Viva
- Practical and Project Files
LEARNING OBJECTIVE:
- This course is designed for students of CBSE, ICSE and other Boards.
- Students will be best prepared for the exams in all manners.
- Students will learn about the Python Programing Basic.
- They will acquire knowledge of latest computer technologies too.
- Making coding easier in Python.
- Clear understanding of difficult topics like file handling in Python
- Help students in preparing Projects
- Help students in preparing Practical Files
- Preparation for VIVA and Practical Examinations
- Practicing 150-200 programs during course.
COURSE INFORMATION:
This course is for students and designed as per the CBSE, ICSE and other boards. Students will be provided with classes from best experienced teachers. Along with the classes, notes as well as question banks with answers will be provided for regular practice.
Students will gain good insights of basics, increase their mark in exam and will develop their interests in the IT field and know about its scope in the today’s world through these classes.
The books by the teachers as well as the Study trigger mobile APP will also be really helpful for the learners.
Topics
Revision of Python topics covered in Class XI.
- Basics, Operators and Operands, Data types, Conditional Programming (If else), Iteration Programming (Loops – for, while), Strings, String’s Functions, List, List’s methods, Tuples, Dictionary, (Covered all the above topic as per board, more focus on programming and outputs)
Data Handling Using Pandas
- Introduction to Pandas Library, NumPy Library
- Series : Creation of Series from – ndarray, dictionary, scalar value, mathematical operation on series, series’s attributes, head and tail functions, selection of series, slicing of series, indexing in series, practical programs, output problems.
- DataFrames :
- Creation of DataFrame from Dictionary, Series, List of Dictionary, Accessing DataFrame, DataFrame’s attributes, Add/Modify Columns of DataFrame, Add/Modify Rows of DataFrame, Iteration on DataFrame by Iterrows() and Itercols(), Perform arithmetic operations, merging, concatenation, practical programs, output problems.
- Importing/Exporting Data between CSV files and Data Frames
Data Visualization :
- Purpose of plotting, drawing and saving following types of plots using Matplotlib – line plot, bar graph, histogram, pie chart, frequency polygon, box plot and scatter plot.
- Customizing plots : color, style (dashed, dotted), width, adding label, title, and legends in plots.
Database Management
- Database concepts: introduction to database concepts and its need
- Relational data model: relation, attribute, tuple, domain, degree, cardinality, keys (candidate key, primary key, alternate key, foreign key)
- Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data type (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table,
- Describe table, alter table (add and remove an attribute, add and remove primary key), drop table, insert, delete, select, operators (mathematical, relational and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, aggregate functions (max, min, avg, sum, count), group by, having clause, joins: cartesian product on two tables, equi-join and natural join.
MySql Functions :
- Aggregate function, Scalar functions, Maths Functions, Text Functions, Date Functions.
Computer Networks
- Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET)
- Data communication terminologies: concept of communication, components of data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media (bandwidth, data transfer rate), IP address, switching techniques (Circuit switching, Packet switching)
- Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fiber-optic cable), Wireless media (Radio waves, Micro waves, Infrared waves)
- Network devices (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card)
- Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree)
- Network protocol: HTTP, FTP, PPP, SMTP, TCP/IP, POP3, HTTPS, TELNET, VoIP
- Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser, web servers, web hosting
Societal Impacts
- Digital Footprint, net and communication etiquettes, data protection, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open source software, cybercrime and cyber laws, E-Waste : hazards and management, Awareness about health concerns related to the usage of technology.
Topics
Revision of Python topics covered in Class XI.
- Basics, Operators and Operands, Data types, Conditional Programming (If else), Iteration Programming (Loops – for, while), Strings, String’s Functions, List, List’s methods, Tuples, Dictionary, (Covered all the above topic as per board, more focus on programming and outputs)
Data Handling Using Pandas
- Introduction to Pandas Library, NumPy Library
- Series : Creation of Series from – ndarray, dictionary, scalar value, mathematical operation on series, series’s attributes, head and tail functions, selection of series, slicing of series, indexing in series, practical programs, output problems.
- DataFrames :
- Creation of DataFrame from Dictionary, Series, List of Dictionary, Accessing DataFrame, DataFrame’s attributes, Add/Modify Columns of DataFrame, Add/Modify Rows of DataFrame, Iteration on DataFrame by Iterrows() and Itercols(), Perform arithmetic operations, merging, concatenation, practical programs, output problems.
- Importing/Exporting Data between CSV files and Data Frames
Data Visualization :
- Purpose of plotting, drawing and saving following types of plots using Matplotlib – line plot, bar graph, histogram, pie chart, frequency polygon, box plot and scatter plot.
- Customizing plots : color, style (dashed, dotted), width, adding label, title, and legends in plots.
Database Management
- Database concepts: introduction to database concepts and its need
- Relational data model: relation, attribute, tuple, domain, degree, cardinality, keys (candidate key, primary key, alternate key, foreign key)
- Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data type (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table,
- Describe table, alter table (add and remove an attribute, add and remove primary key), drop table, insert, delete, select, operators (mathematical, relational and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, aggregate functions (max, min, avg, sum, count), group by, having clause, joins: cartesian product on two tables, equi-join and natural join.
MySql Functions :
- Aggregate function, Scalar functions, Maths Functions, Text Functions, Date Functions.
Computer Networks
- Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET)
- Data communication terminologies: concept of communication, components of data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media (bandwidth, data transfer rate), IP address, switching techniques (Circuit switching, Packet switching)
- Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fiber-optic cable), Wireless media (Radio waves, Micro waves, Infrared waves)
- Network devices (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card)
- Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree)
- Network protocol: HTTP, FTP, PPP, SMTP, TCP/IP, POP3, HTTPS, TELNET, VoIP
- Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser, web servers, web hosting
Societal Impacts
- Digital Footprint, net and communication etiquettes, data protection, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open source software, cybercrime and cyber laws, E-Waste : hazards and management, Awareness about health concerns related to the usage of technology.