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A project-based approach to learning Python programming for intermediate users. Intriguing projects teach you how to tackle challenging problems with code.
"The Hitchhiker’s Guide to Python!" is a comprehensive resource for intermediate to advanced Python developers, covering best practices for writing, structuring, and deploying Python code. It provides practical guidance on web development, automation, data science, and more, making it ideal for those looking to improve their skills and grow professionally.
- Boost.Python
- Camelot
- Click
- Cliff
- cryptography
- ctypes
- DB-API
- Django ORM
- Docopt
- Fabric
- gevent
- Kivy
- lxml
- peewee
- Pillow
- Plac
- PonyORM
- PsUtil
- PyGObject
- Pyjs Desktop
- PyObjC
- PyQt
- PySide
- PySimpleGUI
- Python
- Python Fire
- PyZMQ
- Records
- requests
- Salt
- Scikit-learn
- SciPy
- SQLAlchemy
- SQLObject
- Tk
- Toga
- tox
- Twisted
- WSGI
- wxPython
- Ansible
- Blueprint
- Buildbot
- Buildout
- Cement
- Chef
- GTK
- JSON
- OpenCV
- Puppet
- Qt
- Travis-CI
- XML
- C++
- Cocoa
- Jenkins
- PugSQL
- SWIG
Jupyter Notebook is an open-source web application that enables users to create and share documents containing live code, equations, and visualizations, supporting over 40 programming languages. Its advanced version, JupyterLab, provides a more flexible environment, making both tools ideal for data science, machine learning, and scientific computing tasks across various industries and research fields.
Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time.
Flask's documentation provides a comprehensive guide for building web applications, starting from installation and quick setup to more advanced topics like blueprints, testing, and deployment. It covers key components such as routing, templates, and session management, while offering detailed API references and guidance on extending Flask with community-maintained extensions.
Ansible is an open-source automation tool that simplifies IT infrastructure management and application deployment through its agentless architecture and human-readable playbooks. By automating tasks like resource provisioning, configuration management, and continuous delivery, Ansible empowers DevOps teams to streamline their operations and improve efficiency.
tox is an automation tool designed for Python projects that standardizes and simplifies the testing process by running tests in isolated virtual environments across multiple Python versions and configurations. With features like dependency management and CI integration, tox ensures consistent, reproducible test results, making it an essential resource for developers aiming to maintain code quality.
Pandas is a fast and flexible Python library designed for efficient data manipulation, offering powerful tools like the DataFrame for handling structured data, reshaping, and handling missing values. It supports various data formats and excels in performance, making it widely used across industries for real-world data analysis.
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