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Learn Python from Scratch

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Chaitanya attaluri

21:24:34

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  • 1 - 1Introduction to Python.mp4
    19:10
  • 2 - 2Variables and Data types.mp4
    26:31
  • 2 - Python.docx
  • 3 - 3Control Flow and Loops.mp4
    57:15
  • 3 - Control-Flow-and-Loops-answers.docx
  • 4 - 1Data StructuresListTuples.mp4
    01:01:25
  • 4 - 2.DATA-STRUCTURES-LISTS-TUPLE-SETS-DICTIONARIES-answers.docx
  • 5 - 2Data StructuressetsDictionaries.mp4
    01:08:02
  • 6 - Functions and Modules.mp4
    53:16
  • 6 - Functions-and-Modules.docx
  • 7 - File Handling.mp4
    57:00
  • 7 - File-Handling-programming-answers.docx
  • 8 - Exception Handling.mp4
    01:01:37
  • 8 - Exception-handling-programs.docx
  • 9 - Basics OOPS Concept1.mp4
    41:20
  • 9 - Basics-OOPS-programs.docx
  • 10 - Basics OOPS Concept2.mp4
    56:37
  • 11 - Working With Libraries.mp4
    16:08
  • 12 - Data-Visualization-programs.docx
  • 12 - Introduction to Data Visualization.mp4
    46:25
  • 13 - Advanced OOPS Concepts1.mp4
    01:07:31
  • 13 - Advanced-OOPS-concept-programs.docx
  • 14 - Advanced OOPS Concepts2.mp4
    01:09:03
  • 15 - File Manipulation and Serialization1.mp4
    36:23
  • 15 - File-Manipulation-and-serialization-programs.docx
  • 16 - File Manipulation and Serialization2.mp4
    25:13
  • 17 - File Manipulation and Serialization3.mp4
    58:38
  • 18 - Decorators and Generators.mp4
    55:23
  • 18 - Decorators-and-Generators-programs.docx
  • 19 - Adavnced-Data-Structures-Programs.docx
  • 19 - Advanced Data Structures.mp4
    44:52
  • 20 - Advanced Libraries and Frameworks.mp4
    01:12:26
  • 20 - Advanced-Libraries-and-Frameworks.docx
  • 21 - Multithreading and Multiprocessing1.mp4
    58:34
  • 21 - Multithreading-and-Mutiprocessing-Programs.docx
  • 22 - Multithreading and Multiprocessing2.mp4
    54:47
  • 23 - Advanced Data Visualization.mp4
    23:43
  • 24 - Regular expressions.mp4
    45:01
  • 24 - Regular-Expressions.docx
  • 25 - Date and Time.mp4
    59:07
  • 26 - My Sql Installation.mp4
    11:45
  • 27 - Python Database ConnectivityMySql.mp4
    37:22
  • 27 - Python-Database-Connectivity-MySQL-programms.docx
  • Description


    It covers Advanced Topics like oops ,Exceptions,Threads ,Data science basics and also python database Connectiivty

    What You'll Learn?


    • By the end of the course, learners will have a deep understanding of Python's core concepts, including variables, data types, control structures, and functions.
    • Students will master the principles of object-oriented programming (OOP) in Python. They will be able to create and use classes and objects, implement inheritan
    • Gets basic idea on DataVIsualization concepts
    • Python database connectivity:how to connect mysql database and how to work with Mysql database python programming
    • 100 sample programs on various python concepts

    Who is this for?


  • If you are a complete beginner then this course will be everything you need to become a Python professional
  • By the end of this course certainly u gain some knowledge on different python concepts by practicing programms
  • What You Need to Know?


  • No Programming experience needed
  • A Mac or PC computer with access to the internet
  • No paid software required ,I'll walk you through, step-by-step how to get all the software installed and set up
  • More details


    Description

    Python is a versatile and widely-used programming language that powers web applications, data analysis, artificial intelligence, and much more. In this course, you'll embark on a hands-on journey from Python basics to advanced topics, equipping you with the skills to tackle real-world projects with confidence.The "Comprehensive Python Programming Course" is a comprehensive and hands-on introduction to the Python programming language. Whether you're a beginner with no prior coding experience or an experienced programmer looking to expand your skills, this course will provide you with a solid foundation in Python and empower you to create your own Python applications.


    1. Python Fundamentals: Master the basics of Python programming, including variables, data types, and control structures.

    2. Functions and Modules: Understand how to create and use functions, modules, and libraries to organize and reuse code.

    3. Object-Oriented Programming (OOP): Learn OOP principles and build Python classes and objects.

    4. File Handling: Explore reading from and writing to files, including CSV and JSON formats.

    5. Error Handling: Develop the skills to handle exceptions and errors in Python programs.

    6. Data Structures: Dive into data structures like lists, tuples, sets, and dictionaries and understand when to use each.

    7. Advanced Python Features: Explore topics like decorators, generators, and comprehensions to write more efficient and concise code.

    8. Data Analysis and Visualization: Apply Python for data analysis and create data visualizations using libraries like Pandas and Matplotlib.


    Who this course is for:

    • If you are a complete beginner then this course will be everything you need to become a Python professional
    • By the end of this course certainly u gain some knowledge on different python concepts by practicing programms

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    Chaitanya attaluri
    Chaitanya attaluri
    Instructor's Courses
    I done masters in university of east London. I am a skilled and experienced  instructor with a passion for sharing knowledge and helping others excel in their learning journey. Throughout my career,  had the opportunity to work with a diverse range of organizations,  This real-world experience allows me  to provide students with practical insights and a deep understanding of Subject in programming Courses
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 27
    • duration 21:24:34
    • Release Date 2023/12/28