Python Complete Course With Pandas Library For Beginners 2026 | Python Libraries Tutorial | @SCALER
What is Python?
Python is a high-level, interpreted programming language with a focus on simplicity, readability, and ease of use. It is widely used in various domains, including web development, data science, machine learning, and automation. Its syntax and an extensive library make it a popular choice for beginners and professionals alike.
What is Pandas?
Pandas is a popular open-source Python library used for data manipulation and analysis. It provides data structures like DataFrames and Series, along with powerful tools for cleaning, transforming, and analysing structured data, making it a go-to tool for data scientists and analysts.
What are programming languages?
Programming languages are formal languages used to instruct computers to perform specific tasks. They are a set of rules, symbols, and instructions used to write computer programs. Popular programming languages include Java, Python, C++, JavaScript, and Ruby, each with its own syntax, features, and applications.
What is Software Engineering?
Software engineering is a branch of computer science that focuses on the design and development of computer systems and application software.
Software engineers are experts in programming languages, software development, and operating systems and use engineering principles to create software.
What are programming skills?
Programming skills refer to the ability to write code and develop software using a programming language. These skills involve understanding how to design, write, test, debug, and maintain software programs and applications. Programming skills are essential for careers in software development and are in high demand in many industries.
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In this video, you'll learn:
✔ Getting started with Python
✔ Pandas Library
✔ Input and Output operations in Python
✔ Relational and Logical operators
✔ Organising Code (Intendation)
✔ Data Manipulation using Pandas (Connecting various data sources using Python & Pandas)
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⏱ Chapters:
0:00 Introduction and Agenda
0:43 Getting started with Python
41:46 Pandas Library
1:08:16 Input and Output operations in Python
1:29:16 Relational and Logical operators
3:00:54 Organising Code (Intendation)
7:38:51 Data Manipulation using Pandas (Connecting various data sources using Python & Pandas)
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