XII IP (065)

Data Handling using Pandas

  • Introduction to Python libraries- Pandas, Matplotlib.
  • Data structures in Pandas – Series and Data Frames.
  • Series: Creation of Series from – ndarray, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing and Slicing.
  • Data Frames: creation – from dictionary of Series, list of dictionaries, Text/CSV files; display; iteration; Operations on rows and columns: add, select, delete, rename; Head and Tail functions; Indexing using Labels, Boolean Indexing;
  • 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 Customizing plots: adding label, title, and legend in plots

Database Query using SQL

  • Math functions: POWER (), ROUND (), MOD ().
  • Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
  • Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
  • Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
  • Querying and manipulating data using Group by, Having, Order by

Introduction to Computer Networks

  • Introduction to networks, Types of network: LAN, MAN, WAN.
  • Network Devices: modem, hub, switch, repeater, router, gateway
  • Network Topologies: Star, Bus, Tree, Mesh.
  • Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
  • Website: Introduction, difference between a website and webpage, static vs dynamic web page, web server and hosting of a website.
  • Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins, cookies.

Societal Impacts

  • Digital footprint, net and communication etiquettes, data protection, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open source software (FOSS), cybercrime and cyber laws, hacking, phishing, cyber bullying, overview of Indian IT Act.
  • E-waste: hazards and management.
  • Awareness about health concerns related to the usage of technology.
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