python

Linkedin Learning – Python Object-Oriented Programming

Linkedin Learning – Python Object-Oriented Programming-XQZT
English | Size: 269.09 MB
Category: Tutorial


The object-oriented programming (OOP) features in Python make it easier to build programs of increasing complexity and modularity. In this course, you can learn how to apply core OOP principles like inheritance and composition along with some Python-specific features like magic methods and data classes to build programs that are extensible and efficient. Begin by brushing up on some object-oriented basics, and then use Python features like magic methods to make your classes integrate tightly with the Python language and data classes to dramatically reduce the amount of boilerplate code needed to build data-centric objects

Udemy – Python Ethical Hacking Build Tools for Ethical Hacking

Udemy – Python Ethical Hacking Build Tools for Ethical Hacking-BooKWoRM
English | Size: 6.42 GB
Category: Tutorial


Python is one of the most used programming language in the world and its significance can’t be ignored. Python has gained immense popularity recently owing to its performance in various fields like machine learning, data science, data analytics and cyber security

PluralSight – Data Wrangling With Python-REBAR

PluralSight – Data Wrangling With Python-REBAR
English | Size: 136.68 MB
Category: Tutorial


Machine Learning and Data analytics in general follows the garbage-in/garbage-out principle. If you want to learn from or predict based on your data, you need to make sure that data is well constructed and cleaned. This course, Data Wrangling with Python, is aimed at helping you do exactly that. First, you’ll see how to merge data from different sources using the methods concat, append, and merge. Next, you’ll discover how to combine data into groups. The primary function used here is groupby. In the next two sections, you’ll explore how to transform and normalize data. You’ll learn why these processes are necessary, and then proceed to see how they work in practice. Finally, you’ll examine important processes such as One Hot Encoding, which enables further processing during data analysis. When you’re finished with this course, you’ll have thorough knowledge of data wrangling which will help you immensely during your data analysis and machine learning projects.

PluralSight – Scraping Your First Web Page With Python

PluralSight – Scraping Your First Web Page With Python-REBAR
English | Size: 382.85 MB
Category: Tutorial


Web scraping is an important technique that is widely used as the first step in many workflows in data mining, information retrieval, and text-based machine learning. In this course, Scraping your First Web Page with Python, you will gain the ability to apply different scraping techniques including Beautiful Soup, and Scrapy. First, you will learn and use various HTTP client libraries such as Requests, httplib2, and urllib to download HTML content. Next, you will discover how Beautiful Soup is an extremely popular Python library that does better than regex in important ways. You will see how Beautiful Soup fixes up badly formed HTML, and constructs a nice parse tree that can be traversed and queried. Finally, you will add to your toolkit the knowledge of Scrapy, which is a full-fledged web scraping framework that combines the steps of retrieving and parsing web content and does so at production-scale. When you’re finished with this course, you will have the skills and knowledge to identify the relative strengths and use-cases of different web retrieval and scraping technologies such as regular expressions, Beautiful Soup, and Scrapy.

PluralSight – Python For Data Analysts-REBAR

PluralSight – Python For Data Analysts-REBAR
English | Size: 390.46 MB
Category: Tutorial


Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists.
In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.