Published 11/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.27 GB | Duration: 8h 12m
Python Programming
What you’ll learn
Learn the Basic Concepts of Python
Help in Exploring the Python Libraries for Future
Explore the Procedural and Object Oriented Programming with Python
Getting ready to use Python for Data Science, Machine Learning, Deep learning etc
Requirements
No programming experience Required.
Description
Python is frequently used for data analysis, data visualization, task automation, and the development of software and websites. Many non-programmers, including scientists and accountants, have embraced Python due to its ease of learning, and they use it for a range of daily chores, including managing finances.Python has emerged as a key language in data science, enabling experts in the field to perform intricate statistical computations, generate data visualizations, construct machine learning algorithms, work with and analyze data, and accomplish other data-related tasks.Python is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development includes sending data to and from servers, processing data and communicating with databases, routing URLs, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask.Python is an object-oriented, high-level, interpreted, interactive, general-purpose, open-source programming language that is best suited for software development. Many topics, including Python Language Fundamentals, Setting Up Python Programming Environments, Python Object-Oriented Programming, Python Data Types, Working with Files, Date Time, Regular Expressions, and Exception Handling, are covered in this Python course. This course is for anyone who wants to learn the foundations of Python.
Overview
Section 1: Introduction to Course
Lecture 1 Introduction to Course
Section 2: Introduction to Python Programming
Lecture 2 Introduction to Python Programming
Section 3: Variables, Comments, Type Casting, Strings, Taking Input from User
Lecture 3 Variables, Comments and TypeCasting
Lecture 4 Working with Strings, Taking Input from User
Section 4: Python Operators, Data Types and Control Structures
Lecture 5 Python Operators
Lecture 6 Control Structures an Range Function
Lecture 7 DataTypes – Lists
Lecture 8 DataTypes – Sets, Tuples
Lecture 9 DataTypes – Dictionary
Section 5: Arrays, Command Line Arguments, Functions
Lecture 10 Arrays, Command Line Arguments
Lecture 11 Functions
Section 6: Classes and objects, Inheritance and Overriding, Abstract Classes and Interfaces
Lecture 12 Classes and Objects
Lecture 13 Inheritance and Overriding
Lecture 14 Abstract Classes and Interfaces
Section 7: Working with Date and Time and File Handling
Lecture 15 Working with Date and Time
Lecture 16 Working with File Handling
Section 8: Working with Exception Handling and Regular Expressions
Lecture 17 Working with Exception Handling
Lecture 18 Working with Regular Expressions
Section 9: Solution to Exercises and Conclusion
Lecture 19 Solution to Exercises
Lecture 20 Conclusion
Lecture 21 Conclusion
Beginner Python Developers who are curious about Data Science, Building WebSites and learning foundation.
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