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Mastering Python From Beginner to Pro
Rating: 4.3 out of 5(15 ratings)
221 students

Mastering Python From Beginner to Pro

Unlock the Full Potential of Python Programming
Created byHoney Charnalia
Last updated 3/2024
English

What you'll learn

  • Master Python programming from the basics to advanced concepts
  • Set up Python environment and work with different versions
  • Utilize third-party packages for various tasks
  • Develop projects covering a wide range of applications
  • Implement object-oriented programming principles
  • Work with databases and perform data analysis
  • Integrate Python with web technologies and other tools

Course content

1 section • 13 lectures • 25h 57m total length

  • Introduction to Python Programming17:25
  • Getting Started with Python27:27

    In this chapter we will learn:
    Setting up the First Project

    • Basic Operations

    • Logical Functions

    • Strings

    • Constructs

  • Code Quality and Best Practices1:26:56

    In this chapter we will learn:

    • Code Linting

    • What is Linting

    • Pylint and Its Purpose

  • Advanced Data Handling2:37:47

    In this chapter we will learn:

    • Inbuilt Functions

    • Bitwise Operators

    • Conditional Constructs

    • Comparison Operators

    • Loops

    • Data Structures

    • Functions

  • Core Python Concepts10:22

    In this chapter we will learn:

    • Inbuilt Functions

    • Bitwise Operators

    • Conditional Constructs

    • Comparison Operators

    • Loops

    • Data Structures

    • Functions

  • Exploring Python Modules2:40:41

    In this chapter we will learn:

    • Data Structure (Set , Dictionary) and its Utilization ,

    • Advance Operations for Inbuilt Libraries ,

    • Tuple ,

    • Dictionary ,

    • JSON

  • Object-Oriented Programming2:40:24

    In this chapter we will learn:

    • Concept of Dictionaries ,

    • Its Modification ,

    • Set problems ,

    • Exceptions ,

    • Scope of Variables ,

    • Connection pooling

  • Asynchronous Operations2:39:52

    In this chapter we will laarn:

    • OS Module ,

    • Requests Module ,

    • httpx module ,

    • JSOn Requests.py ,

    • dummyJSON ,

    • Map Function ,

    • Argparse

  • Data Analysis with Python2:35:22

    In this chapter we will learn:

    • JSON , Repo.py , controller.py , App.py, Logging ,

    • Argparse.py , Datetime ,

    • Reletive Delta , Regex , Dummy.py  ,

    • Flask , Text To Speech

  • Data Visualization2:40:27

    In this chapter we will learn:

    • OOP , Email.py ,

    • SMTP Ports , Credentials ,

    • Config.py , Polymorphism.py ,

    • Datetime.py ,

  • Database Connectivity2:21:18

    In this chapter we will learn:

    • Date Time Module , Relativedelta ,

    • Async Operations , Multithreading ,

    • Markdown , Numpy , Pandas ,

  • Basic operations of Panda2:37:04

    In this chapter we will learn:

    • Basic operations of Panda , Loc , iloc ,

    • Complex Filtering , Sorting , Grouping ,

    • Saving the Files , Pandas Cheat Sheet ,

    • Concate , matplotlip , seaborn ,

    • Parquet , Polars , PyArrow , Database connectivity

  • Project Development: Conclusion and Next Steps2:42:11

    In this chapter we will learn:

    • Database Connectivities ,

    • SQL Connections , SQL.py ,

    • PDF extractor .py , PDF persuing ,

Requirements

  • No prior programming experience required
  • A computer with internet access
  • Eagerness to learn and explore Python programming

Description

Welcome to the comprehensive Python programming course designed to take you from a complete beginner to a proficient coder. Whether you're looking to kickstart your career in software development, enhance your data analysis skills, or dive into the exciting world of machine learning, this course has got you covered.

In this course, you'll start by mastering the fundamentals of Python programming. From basic syntax to complex data structures, logical functions, and advanced operations, each concept is explained in detail with practical examples to ensure a solid understanding. You'll learn how to set up your development environment, work with different Python versions, and utilize essential third-party packages for various tasks.

As you progress, you'll delve into more advanced topics such as object-oriented programming (OOP), database connectivity, asynchronous operations, and multithreading. You'll explore powerful libraries like NumPy and Pandas for data manipulation, visualization, and analysis. Additionally, you'll learn how to integrate Python with other technologies such as Flask for web development and Text to Speech for enhancing user experiences.

By the end of this course, you'll not only have a strong grasp of Python programming but also the confidence to tackle real-world projects with ease. Whether you aspire to build applications, analyze data, or pursue a career in machine learning, this course will equip you with the skills and knowledge needed to succeed.

Who this course is for:

  • Beginners who want to learn Python programming from scratch
  • Students looking to enhance their coding skills and explore career opportunities
  • Professionals seeking to add Python to their skill set for data analysis, web development, or machine learning

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