Description

Python has become popular among developers today, and it is preferred by a large number of organizations as Python helps developers be productive and confident about the software they’re building. Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.

In this course, you will embark on a journey to explore Python and its practical applications. You will learn fundamental concepts like Datatypes (List, Tuple, Set, Strings and Numbers), OOPS, File handling operation, Functions and much more with in-depth hands.

By the end of the course, you will have a solid understanding of Python programming, be able to develop your own programs, and have the necessary skills to pursue further specialization in specific areas of interest, such as web development, data science, or machine learning.

Course Objectives

To learn python programming language and build application. Students will gain a solid understanding of the core concepts of Python programming, including variables, data types, control structures, loops, functions, object-oriented programming and much more.

Target Audience

If you are a complete beginner then this course will be everything you need to become a Python professional

Programmers switching languages to Python.

Intermediate Python programmers who want to level up their skills.

Students, IT Professionals and everyone who is curious to learn Python programming language and build application

Basic Understanding

No programming experience needed

Computer with access to the internet

Any IDE like Pycharm, VS Code, Python Idle

Course Content

No sessions available.

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Simpliv LLC
39658 Mission Boulevard,
Fremont, CA 94539, USA

Learn Python Programming From Zero to Hero

Session 1: Introduction to Python

No lectures available

Session 2: Advantages of Python over other programming languages

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Session 3: Python Variables

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Session 4: Operators and Boolean expressions

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Session 5: Conditional statements- If, else, and elif statements, Nested-if

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Session 6: Loops- while and for loops, nested loops, break, pass and continue keywords

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Session 7: Python Datatypes

No lectures available

Session 8: Lists- Creating, Indexing, Slicing, and List methods

No lectures available

Session 9: Tuples

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Session 10: Strings- String concatenation, Indexing, Slicing, and String methods

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Session 11: Sets and set operations

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Session 12: Python dictionary- Creating, Accessing, Modifying, and Dictionary methods

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Session 13: Lambda keyword, List Comprehension

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Session 14: Files input/output functions

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Session 15: OS, DateTime, and random modules

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Session 16: File handling in python

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Session 17: Regular expressions

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Session 18: Functions in Python

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Session 19: Object-Oriented Programming (OOP) in Python

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Session 20: Exception Handling

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Session 21: Modules and Packages

No lectures available

Coupons

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