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Python3: From Beginner to Pro

Learn Python for web development and data analysis! Master essential skills, from beginner to advanced. Build your coding career with Python.

4.7(712)
20,709students
30h 1m
Certificate
Murthy Karra PhD
Murthy Karra PhDChief Instructor and Course Developer

Course Content

Python3: From Beginner to Pro is an all-levels Udemy course taught by Murthy Karra PhD. It runs 30h 1m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 712 reviews, with 20,709 students enrolled. It is a paid course, last updated January 2022.

Master Python 3: From Beginner to Pro with this comprehensive course designed to teach you how you learn best. This course prioritizes hands-on experience, incorporating numerous quizzes and code assignments to solidify your understanding. Forget passive lectures – you'll learn by doing, making mistakes, and correcting them – the proven method for mastering coding.

This structured curriculum builds a strong foundation for all future programming endeavors. While the initial pace may be deliberate, it ensures you possess the necessary knowledge for more advanced topics. Your feedback is highly valued and will be used to continuously improve the course. Don't hesitate to ask questions – I'm here to help!

Key Topics Covered:

  • Fundamental Concepts:
    • Data Types, Variables, and Operators: Understand the building blocks of Python.
    • Operators: Arithmetic, Assignment, Comparison, Logical, Identity, Membership, and Bitwise operators.
  • Control Flow:
    • Loops: Master for and while loops for iterative tasks.
    • Conditional Statements: Utilize if-else branching for decision-making.
  • Functions:
    • Function Definition: Learn to define and use functions with parameters, arguments, and return values.
    • Argument Types: Explore positional, keyword, default, variable positional, and variable keyword arguments.
    • Scope: Understand local and global variable scope.
    • Advanced Function Techniques: Dive into enumerate, map, filter, reduce, zip, lambda functions, closures, and decorators.
    • List and Dictionary Comprehensions: Write concise and efficient code.
  • Modules & Packages:
    • Built-in Modules: Explore essential modules like os, sys, random, datetime, logging, and math.
    • Importing Modules: Learn how to use external libraries.
  • Error Handling:
    • Try-Catch Blocks: Implement robust error handling for reliable code.
  • Testing:
    • Unit Testing: Write and run tests to ensure code quality.
  • File Handling:
    • Text, CSV, and JSON: Learn to read and write data to various file formats.
  • Regular Expressions (Regex):
    • Pattern Matching: Master powerful pattern matching techniques.
  • Object-Oriented Programming (OOP):
    • Classes and Instances: Understand the core concepts of OOP.
    • Attributes and Methods: Define and use class and instance attributes and methods.
    • Instance Creation: Learn how to create instances and the concept of self.
    • Instance Properties: Implement attribute validation.
    • Inheritance: Utilize class inheritance and inherited attributes/methods.
    • super(): Understand the concept of super() for method resolution.
    • Method Resolution Order (MRO): Explore MRO for multi-level and multiple inheritance.
  • Web Development:
    • HTTP Requests: Use the requests module to interact with web APIs.
    • SMS Integration: Send and receive SMS messages using Twilio.
    • Flask Framework: Set up a web server with the Flask micro-framework.
    • Jinja2 Templates: Create dynamic HTML websites using Jinja2 templates.
    • SQL Databases: Connect to and interact with SQL databases.
    • Bootstrap 4: Enhance website styling with Bootstrap 4.
    • Frontend/Backend Integration: Combine frontend and backend development skills.
  • Data Analysis:
    • NumPy: Introduction to NumPy and nD arrays.
    • Pandas: DataFrames for data manipulation and analysis.
    • Dataframe Manipulation: Filtering, sorting, and transforming data.
    • Groupby and Conditional Extraction: Advanced data aggregation techniques.
    • Data Visualization: Create insightful visualizations using Matplotlib and Seaborn.

This course includes approximately 80 quiz questions and 35 programming exercises with detailed solutions to reinforce your learning. Start your journey to becoming a proficient Python programmer today!

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