Python is one of the top 3 tools that Data Scientists use.One of the tools in their arsenal is the Pandas library.This tool is popular because it gives you so much functionality out of the box.In addition, you can use all the power of Python to make the hard stuff easy!

Learning the Pandas Libraryis designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples.

Microsoft Power BI Quick Start Guide Build dashboards and visualizations to make your data come to life.pdf

https://github.com/PacktPublishing/Microsoft-Power-BI-Quick-Start-Guide - This is the code repository for Microsoft Power BI Quick Start Guide, published by Packt.

Build dashboards and visualizations to make your data come to life

Mastering Large Datasets with Python Parallelize and Distribute Your Python Code.pdf

What's inside
• An introduction to the map and reduce paradigm
• Parallelization with the multiprocessing module and pathos framework
• Hadoop and Spark for distributed computing
• Running AWS jobs to process large datasets

Python Projects for Beginners A Ten-Week Bootcamp Approach to Python Programming.pdf

What You Will Learn
- Understand beginning and more advanced concepts of the Python language
- Be introduced to data analysis using pandas, the Python Data Analysis library
- Walk through the process of interviewing and answering technical questions
- Create real-world applications with the Python language
- Learn how to use Anaconda, Jupyter Notebooks, and the Python Shell

Personal Finance with Python Using pandas, Requests, and Recurrent.pdf

Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together.

In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.

Demonstrate the use of Python Requests with the help of examples

Use the Requests module to deal with the inner sections of the request-response cycles

Implement the RESTful Web API with Python Requests

Authenticate Requests using different authentication methods

Emulate server actions and interact with a mock server

Interact with social networking sites such as Facebook, Twitter, and reddit

Scrape the Web with Python Requests and BeautifulSoup

Build your own web application with Flask

Python Data Analytics With Pandas, NumPy, and Matplotlib by Fabio Nelli.pdf

What You'll Learn
- Understand the core concepts of data analysis and the Python ecosystem
- Go in depth with pandas for reading, writing, and processing data
- Use tools and techniques for data visualization and image analysis
- Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch

Reinventing ITIL in the Age of DevOps Innovative Techniques to Make Processes Agile and Relevant.pdf

What You Will Learn
• Discover the basics of ITIL and DevOps
• Compare ITIL and DevOps
• Understand the structure of a DevOps organization and adapt the ITIL roles to this structure
• Re-engineer ITIL for DevOps projects
• Implement major processes such as incident management, configuration management, and change management processes in DevOps projects
• Automate activities within processes

Django 3 By Example Build powerful and reliable Python web applications from scratch by Antonio Melé.pdf

Learn Django 3 with four end-to-end web projects Key Features Learn Django 3 by building real-world web applications from scratch in Python, using coding best practices Integrate other technologies into your application with clear, step-by-step explanations and comprehensive example code Implement advanced functionalities like a full-text search engine, a user activity stream, or a recommendation engine Add real-time features with Django Channels and WebSockets Book Description If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications...

1. Principles of Software Architecture
2. Writing Modifiable and Readable Code
3. Testability Writing Testable Code
4. Good Performance is Rewarding!
5. Writing Applications that Scale
6. Security Writing Secure Code
7. Design Patterns in Python
8. Python Architectural Patterns
9. Deploying Applications with Python
10. Techniques for Debugging

2 hours 8 minutes

Discover simple practices for writing clean and efficient Python code

- Practical examples and case studies to demonstrate effective coding
- Set up a programming environment that encourages beautiful code
- How to take full advantage of Python features to make your code elegant
- Master available tools and modules to improve the cleanliness of your Python code
- General stylistic guidelines to make your code readable, maintainable, and extendable
- How to program in different stylistic paradigms for maximum code cleanliness depending on the application
- How to identify and rewrite bad code

4 hours 50 minutes

Introducing the study of machine learning and algorithmic trading for financial practitioners

1. Course Introduction
2. Set Up - Twitter Developer Account
3. Starting Bot Development with Tweepy
4. Building Twitter Autoreply
5. Deploying Bot Online
6. Building Twitter Auto RetweetLike Bot

Python_For_Network_Enginers.pdf
Python 3 для сетевых инженеров

Chou_E_-_Mastering_Python_Networking_-_2017.pdf

Learning DevOps The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps by Mikael Krief.pdf

Вебинар SkillBox - Python - разработка мессенджера PyQT

Вебинар SkillBox - Взом на python

Data Science With Python And Dask - Jesse C. Daniel
Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.

What's inside
• Working with large, structured and unstructured datasets
• Visualization with Seaborn and Datashader
• Implementing your own algorithms
• Building distributed apps with Dask Distributed
• Packaging and deploying Dask apps