A collection of books and articles on Python and various data manipulation tools. Overview of architecture of business intelligence systems, design and development of BI Reports, data processing in Python Pandas.
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
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
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
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...
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
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
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.
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
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 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.
