Last Updated on November 10, 2023 by GeeksGod
Course : Python For Data Engineering 2023 with 500+ Coding Questions
Free Udemy Coupon: Python Data Engineering
Introduction
Are you interested in learning Python, one of the most popular programming languages out there? If yes, then the Python course on Udemy might be perfect for you. In this course, you’ll learn Python from the very basics to advanced concepts. This course is a part of Data Engineering, and you can also explore Linux and Spark/Databricks in upcoming courses.
About Python
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability, and its syntax is easy to learn and understand. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented, and functional programming. Python has a comprehensive standard library and is often described as a “batteries included” language.
History of Python
Guido van Rossum created Python in the late 1980s as a successor to the ABC programming language, and it was first released in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued in version 2.7.18 in 2020.
Course Content
This Python course covers the following topics in detail:
Language Fundamentals
Learn about variables, data types, operators, and expressions.
Operators
Explore arithmetic, comparison, logical, and assignment operators.
Input and Output Statements
Learn how to take input from the user and display output on the screen.
Flow Control
Learn about conditional statements and loops.
Pattern Applications for Logic Building
Learn how to build patterns using loops and conditional statements.
Strings
Explore string operations such as slicing, concatenation, and formatting.
String Programming Questions for Logic Building
Solve programming questions related to strings.
List Data Structure
Learn about the list data structure and its methods.
Tuple Data Structure
Explore the tuple data structure and its methods.
Set Data Structure
Learn about the set data structure and its methods.
Dictionary Data Structure
Explore the dictionary data structure and its methods.
Functions
Learn how to define and call functions.
Modules
Explore modules and how to import them into your Python program.
Packages
Learn how to create and use packages in Python.
Object-Oriented Programming (OOPs)
Learn about classes, objects, inheritance, and polymorphism.
Exception Handling
Learn how to handle errors and exceptions in your Python program.
Logging Module
Learn how to use the logging module to log events in your Python program.
Assertions
Learn how to use assertions to check conditions in your Python program.
File Handling
Learn how to read from and write to files in Python.
Object Serialization by using PICKLE, JSON, and YAML
Learn how to serialize Python objects using these popular formats.
Decorators
Explore decorators and how to use them to modify the behavior of functions.
Generators
Learn how to create and use generators to generate sequences of values.
Conclusion
In conclusion, the Python course on Udemy is a comprehensive course that covers all the important topics related to Python. By the end of this course, you’ll have a solid understanding of Python programming and be able to build your own Python programs. So, why wait? Enroll in the course today and start your journey toward becoming a Python programmer.
If you’re looking for a Free Udemy Coupon for Python Data Engineering, you’ve come to the right place. The Python course on Udemy provides an extensive curriculum to help you master the language and its applications in data engineering. With this coupon, you can access the course at no cost and enhance your skills without any financial burden.
Python is widely recognized for its versatility and readability. It is used in various industries, including data engineering, web development, scientific computing, artificial intelligence, and more. By learning Python, you open up a world of opportunities to work on exciting projects and contribute to cutting-edge technologies.
The Python course on Udemy starts with the basics and gradually progresses to advanced concepts. Whether you’re a beginner or have some programming experience, the course is designed to accommodate learners of all levels. The curriculum encompasses various fundamental topics such as variables, data types, operators, and expressions, ensuring a strong foundation in Python programming.
Throughout the course, you’ll also explore different data structures, including lists, tuples, sets, and dictionaries. These data structures play a crucial role in data engineering, as they allow efficient storage and manipulation of information. With hands-on exercises and programming questions, you’ll gain practical experience in implementing data structures and solving real-world problems.
Another essential aspect of data engineering covered in the course is object-oriented programming (OOP). OOP allows you to create modular and reusable code, promoting code organization and maintainability. By understanding classes, objects, inheritance, and polymorphism, you’ll be equipped with invaluable skills to develop sophisticated applications.
The Python course on Udemy also focuses on handling errors and exceptions, a critical aspect of any robust programming language. Exception handling allows your program to gracefully handle unexpected situations and prevent crashes. By learning how to effectively handle errors, you’ll be able to write reliable and resilient code.
When working with Python, it’s essential to have efficient input and output mechanisms. The course covers input and output statements, teaching you how to interact with users and display meaningful results. These skills are particularly valuable in data engineering, where data processing and visualization are crucial components of the workflow.
Furthermore, the course explores file handling, providing insights into how to read from and write to files. File handling is a fundamental aspect of data engineering, as it enables data ingestion from various sources and exporting processed results. By mastering file handling techniques, you’ll be able to work with different file formats and seamlessly integrate data into your applications.
Throughout the course, you’ll also delve into advanced topics such as decorators, generators, and object serialization. These topics enhance your Python knowledge and empower you with more sophisticated programming techniques. Decorators allow you to modify the behavior of functions dynamically, while generators enable the generation of sequences on-the-fly. Object serialization facilitates the storage and retrieval of Python objects, making data engineering tasks more convenient.
The Python course on Udemy goes beyond theoretical explanations and provides ample opportunities for hands-on practice. By completing coding exercises and solving programming questions, you’ll gain practical experience and reinforce your understanding of the concepts. The course’s interactive nature ensures an engaging learning experience that benefits learners of all backgrounds.
If you’re interested in kickstarting your journey into Python and data engineering, the Python course on Udemy is an ideal choice. By enrolling in this course and applying the Free Udemy Coupon for Python Data Engineering, you’ll gain valuable knowledge and skills without any financial burden. Don’t miss out on this opportunity to learn from industry experts and take your Python programming to new heights.
Enroll in the Python course on Udemy now and embrace the world of Python and data engineering. Start your learning journey today and unlock countless possibilities for personal and professional growth!
