Book
- Building Android Apps in Python Using Kivy with Android Studio: With Pyjnius, Plyer, and Buildozer
- Classic Computer Science Problems in Python
- Data Science with Python and Dask
- Introducing Data Science: Big Data, Machine Learning, and More, using Python Tools
- Introducing MySQL Shell: Administration Made Easy with Python
- Introduction to Computation and Programming Using Python with Application to Understanding Data, Second Edition
- Python Crash Course: A Hands-On, Project-Based Introduction to Programming, 2nd Edition
- Python for SAS Users: A SAS-Oriented Introduction to Python
- Python, PyGame, and Raspberry Pi Game Development, Second Edition
AI Apprentice to AI Architect
Data Analyst to Data Scientist
- Data Science Using Python and R
- Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation
- Learn Data Analysis with Python: Lessons in Coding
- Practical Web Scraping for Data Science: Best Practices and Examples with Python
- Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
- Python Data Analytics: With Pandas, NumPy, and Matplotlib, Second Edition
Data and Databases
- Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
- Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
- MicroPython for the Internet of Things: A Beginner's Guide to Programming with Python on Microcontrollers
- MySQL Connector/Python Revealed: SQL and NoSQL Data Storage Using MySQL for Python Programmers
- Python Data Analytics: Data Analysis and Science Using Pandas, Matplotlib, and the Python Programming Language
- SAS Viya: The Python Perspective
- Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way
IT Skills
- Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
- Automate the Boring Stuff with Python: Practical Programming for Total Beginners, 2nd Edition
- Basic Core Python Programming: A Complete Reference Book to Master Python with Practical Applications
- Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV, Second Edition
- Building Web Apps with Python and Flask: Learn to Develop and Deploy Responsive RESTful Web Applications Using Flask Framework (English Edition)
- Building Websites with Django: Build and Deploy Professional Websites with Python Programming and the Django Framework (English Edition)
- Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
- Computers and Information Processing for Business: Microsoft Office 2019 and Python
- Concepts and Semantics of Programming Languages 1: A Semantical Approach with OCaml and Python
- Data Mining for Business Analytics: Concepts, Techniques and Applications in Python
- Data Science Bookcamp: Five Real-World Python Projects
- Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
- Deep Learning with Python, 2nd Edition
- Deep Learning with Python, Second Edition
- Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch, Second Edition
- Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
- Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
- Full Stack Python Security
- Game Development Using Python, Second Edition
- Get Programming: Learn to Code with Python
- Hands-on Data Analysis and Visualization with Pandas: Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
- Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
- Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
- Implement NLP Use-Cases Using BERT: Explore the Implementation of NLP Tasks Using the Deep Learning Framework and Python
- Implementing Cryptography Using Python
- Internals of Python 3.x: Derive Maximum Code Performance and Delve Further into Iterations, Objects, GIL, Memory management, and various Internals
- Introduction to Python for Kids: Learn Python the Fun Way by Completing Activities and Solving Puzzles
- Introduction to Python Network Automation: The First Journey
- Learn AI with Python: Explore Machine Learning and Deep Learning Techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
- Learn Penetration Testing with Python 3.x: Perform Offensive Pentesting and Prepare Red Teaming to Prevent Network Attacks and Web Vulnerabilities
- Learn Quantum Computing with Python and Q#
- Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (English Edition)
- Let Us Python: Python Is Future, Embrace It Fast, Third Edition
- Machine Learning Cookbook with Python: Create ML and Data Analytics Projects Using Some Amazing bpbOpen Datasets
- Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python
- Machine Learning for Time Series Forecasting with Python
- Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python
- Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python
- Natural Language Processing with Python and spaCy: A Practical Introduction
- Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)
- Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models
- Practices of the Python Pro
- Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability
- Programming Microcontrollers with Python: Experience the Power of Embedded Python
- Programming the Raspberry Pi: Getting Started with Python, Third Edition
- Python 3 and Data Analytics Pocket Primer
- Python All-in-One For Dummies, 2nd Edition
- Python In - Depth: Use Python Programming Features, Techniques, and Modules to Solve Everyday Problems
- Python Internals for Developers: Practice Python 3.x Fundamentals, Including Data Structures, Asymptotic Analysis, and Data Types
- Python Interview Questions: Brush up for Your Next Python Interview with 240+ Solutions on Most Common Challenging Interview Questions
- Python One-Liners: Write Concise, Eloquent Python Like a Professional
- Python Quick Interview Guide: Top Expert-Led Coding Interview Question Bank for Python Aspirants (English Edition)
- Python Workout: 50 Ten-Minute Exercises
- Python Workout: 50 Ten-Minute Exercises
- Python: An Introduction to Programming, Second Edition
- Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
- Statistics for Machine Learning: Implement Statistical methods used in Machine Learning using Python
- The Pythonic Way: An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing and Management of Enterprise Python Code
- Tiny Python Projects: Learn Coding and Testing with Puzzles and Games
- Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python
- Visual Studio Code for Python Programmers
ML Programmer to ML Architect
- Deep Learning for Natural Language Processing: Creating Neural Networks with Python
- Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
- Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python, Second Edition
Networks and Telecommunications
Novice Developer to Pythonista
- 9 Powerful Practices of Really Great Teams
- Asyncio Recipes: A Problem-Solution Approach
- Automate the Boring Stuff with Python: Practical Programming for Total Beginners
- Beginning Python: From Novice to Professional, Third Edition
- Cracking Codes with Python: An Introduction to Building and Breaking Ciphers
- Mindset: The New Psychology of Success: How We Can Learn to Fulfill Our Potential
- Practical Python Design Patterns: Pythonic Solutions to Common Problems
- Python Crash Course: A Hands-on, Project-Based Introduction to Programming
- The Quick Python Book, Third Edition
Penetration Tester to SecOps Engineer
Software Design and Development
- A Python Data Analystâs Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics
- Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing
- Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
- Advanced Python Development: Using Powerful Language Features in Real-World Applications
- Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language
- Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python
- Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras
- Basics of Python Programming: Embrace the future of Python
- Beginning Game Programming with Pygame Zero: Coding Interactive Games on Raspberry Pi Using Python
- Beginning Programming with Python for Dummies, 2nd Edition
- Beginning Python
- Beginning Python Games Development: With Pygame, Second Edition
- Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition
- Beginning Python: From Novice to Professional
- Beginning Python: From Novice to Professional, Second Edition
- Beginning Python: Using Python 2.6 and Python 3.1
- Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV
- Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
- Building REST APIs with Flask: Create Python Web Services with MySQL
- CherryPy Essentials: Rapid Python Web Application Development: Design, Develop, Test, and Deploy Your Python Web Applications Easily
- Classic Computer Science Problems in Python
- Clean Python: Elegant Coding in Python
- Comparative Approaches to Using R and Python for Statistical Data Analysis
- Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview, 2nd Edition
- Data Science Fundamentals for Python and MongoDB
- Data Science with Jupyter: Master Data Science Skills with Easy-to-Follow Python Examples
- Data Structures and Algorithms in Python
- Data Structures and Algorithms Using Python
- Deep Learning with Python
- Deep Learning with Python
- Deep Learning with Python: A Hands-on Introduction
- Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
- Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging
- DevOps in Python: Infrastructure as Python
- Dive Into Python
- Dive Into Python 3
- Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
- Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C#
- Expert Python Programming: Learn Best Practices to Designing, Coding, and Distributing Your Python Software
- Foundation Dynamic Web Pages with Python: Create Dynamic Web Pages with Django and Flask
- Foundations of Agile Python Development
- Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python
- Foundations of Python Network Programming: The Comprehensive Guide to Building Network Applications with Python, Second Edition
- Fundamentals of Python: Data Structures
- Game Development Using Python
- Game Programming with Code Angel: Learn How to Code in Python on Raspberry Pi or PC
- Game Programming with Python, Lua, and Ruby
- Geoprocessing with Python
- Get Programming: Learn to Code with Python
- Good Habits for Great Coding: Improving Programming Skills with Examples in Python
- Gray Hat Python: Python Programming for Hackers and Reverse Engineers
- Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python
- Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques
- Hello Raspberry Pi! Python Programming for Kids and other Beginners
- Integrating Python with Leading Computer Forensics Platforms
- Introduction to Computation and Programming Using Python, Revised and Expanded Edition
- Introduction to Computer Science Using Python: A Computational Problem-Solving Focus
- Introduction to Python Programming and Developing GUI Applications with PyQT
- Invent Your Own Computer Games with Python, 4th Edition
- IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
- Ipython Interactive Computing and Visualization Cookbook
- Lean Python: Learn Just Enough Python to Build Useful Tools
- Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
- Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
- Learn Python in One Day and Learn it Well: Python for Beginners with Hands-on Project
- Learn Raspberry Pi Programming with Python
- Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
- Learn to Program with Minecraft: Transform Your World with the Power of Python
- Learn to Program with Python
- Learn to Program with Python 3: A Step-by-Step Guide to Programming, Second Edition
- Learning Python with Raspberry Pi
- Let Us Python Solutions
- Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
- Machine Learning in Python: Essential Techniques for Predictive Analysis
- Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python
- Machine Learning with Python: An Approach to Applied Machine Learning
- Machine Learning with Spark and Python: Essential Techniques for Predictive Analysis, Second Edition
- Make Your Own Python Text Adventure: A Guide to Learning Programming
- Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code
- Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
- Minimal Python: Be Efficient and Become An Effective Programmer
- Mobile Python: Rapid Prototyping of Applications on the Mobile Platform
- More Python Programming for the Absolute Beginner
- Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
- Numerical Python: A Practical Techniques Approach for Industry
- Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, Second Edition
- Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2
- Personal Finance with Python: Using Pandas, Requests, and Recurrent
- PowerShell and Python Together: Targeting Digital Investigations
- Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
- Practical Data Science with Python 3: Synthesizing Actionable Insights from Data
- Practical Docker with Python: Build, Release and Distribute your Python App with Docker
- Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
- Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
- Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale
- Practical Python
- Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools
- Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python
- Practical Video Game Bots: Automating Game Processes Using C++, Python, and AutoIt
- Practices of the Python Pro
- Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production
- Pro Android Python with SL4A
- Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python
- Pro Python 3: Features and Tools for Professional Development, Third Edition
- Pro Python Best Practices: Debugging, Testing and Maintenance
- Pro Python, Second Edition
- Professional IronPython
- Professional Python
- Program Arcade Games: With Python and Pygame, Fourth Edition
- Programming in Python
- Python 2 and 3 Compatibility: With Six and Python-Future Libraries
- Python 3 for Absolute Beginners
- Python 3 for Machine Learning
- Python 3: Pocket Primer
- Python Algorithms: Mastering Basic Algorithms in the Python Language
- Python Algorithms: Mastering Basic Algorithms in the Python Language, Second Edition
- Python All-in-One for Dummies
- Python Basics
- Python Command Line Tools: Design Powerful Apps with Click
- Python Descriptors
- Python Descriptors: Understanding and Using the Descriptor Protocol, Second Edition
- Python for Data Science For Dummies
- Python for Data Science for Dummies, 2nd Edition
- Python For Dummies
- Python for Everyone, Second Edition
- Python for Graph and Network Analysis
- Python for Kids: A Playful Introduction to Programming
- Python for Professionals: Hands-on Guide for Python Professionals
- Python for R Users: A Data Science Approach
- Python for Software Design: How to Think Like a Computer Scientist
- Python for Teenagers: Learn to Program Like a Superhero!
- Python for TensorFlow Pocket Primer
- Python for the Busy Java Developer: The Language, Syntax, and Ecosystem
- Python for the Life Sciences: A Gentle Introduction to Python for Life Scientists
- Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology
- Python in Easy Steps, 2nd Edition
- Python InstantCode: Developing Applications
- Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
- Python Playground: Geeky Projects for the Curious Programmer
- Python Pocket Primer
- Python Power!: The Comprehensive Guide
- Python Programming: An Introduction To Computer Science, Third Edition
- Python Projects
- Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming
- Python Recipes Handbook: A Problem-Solution Approach
- Python Testing with Selenium: Learn to Implement Different Testing Techniques Using the Selenium WebDriver
- Python Unit Test Automation: Practical Techniques for Python Developers and Testers
- Python, PyGame and Raspberry Pi Game Development
- Python: An Introduction to Programming
- Python: Create-Modify-Reuse
- Scripting with Objects: A Comparative Presentation of Object-Oriented Scripting with Perl and Python
- Selenium with Python - A Beginner's Guide: Get Started with Selenium Using Python as a Programming Language
- Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More
- Star Python
- Supervised Learning with Python: Concepts and Practical Implementation Using Python
- Test Your Skills in Python Language
- Testing in Python: Robust Automation for Professionals
- Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing
- Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data
- Text Analytics with Python: A Practitioner's Guide to Natural Language Processing, Second Edition
- The Blender Python API: Precision 3D Modeling and Add-on Development
- The Definitive Guide To Jython: Python For The Java Platform
- The Python Quick Syntax Reference
- The Quick Python Book, Second Edition
- Understanding Network Hacks: Attack and Defense with Python
- Web Standards Programmer's Reference: HTML, CSS, JavaScript, Perl, Python, and PHP
- Website Scraping with Python: Using BeautifulSoup and Scrapy
- wxPython Recipes
Software Tester to DevOps Automated Tester
Strategy and Innovation
Web Development and Graphic Design
- Beginning Programming with Python For Dummies
- Building Versatile Mobile Apps with Python and REST: RESTful Web Services with Django and React
- Pro Python System Administration, Second Edition
- Professional Python Frameworks: Web 2.0 Programming with Django and Turbogears
- Python
- Python Graphics: A Reference for Creating 2D and 3D Images
- Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy
- The Definitive Guide to Masonite: Building Web Applications with Python
- XML Processing with Perl, Python, and PHP
Web Programmer to Apprentice Programmer
Video Course
Virtual CodeX
AI Apprentice to AI Architect
Automated Testing with Selenium
Business Analyst to Data Analyst
Data and Databases
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- MongoDB: Integration with Python
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Advanced Operations with NumPy Arrays
- Python for Data Science: Introduction to NumPy for Multi-dimentional Data
Enterprise Database Systems Solution Area
Internet and Network Technologies Solution Area
IT Infrastructure Practice Labs
Networks and Telecommunications
Operating Systems and Server Technologies Solution Area
Programming Python in Action
- Developing Apps with Tkinter: Configuring Interactive Widgets
- Developing Apps with Tkinter: Menu Bars, Seaborn Visualization, & MySQL DBs
- Developing Apps with Tkinter: Working with File Dialogs & Tree Views
- Microsoft Teams: Creating, Finding & Organizing Files
- The Essential Role of the Agile Product Owner
Python Novice to Pythonista
- Advanced Python Topics: File Operations in Python
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Advanced Python Topics: Python Modules & Virtual Environments
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: While Loops in Python
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Trees & Graphs
- Excel with Python: Constructing Data Visualizations
- Final Exam: Python Apprentice
- Final Exam: Python Apprentice
- Final Exam: Python Journeyman
- Final Exam: Python Journeyman
- Final Exam: Python Novice
- Final Exam: Python Novice
- Final Exam: Pythonista
- Final Exam: Pythonista
- Flask in Python: An Introduction to Web Frameworks & Flask
- Flask in Python: User Authentication in a Flask Application
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Introduction
- Functions in Python: Working with Advanced Features of Python Functions
- Mentoring Pythonista Journey
- Python Classes and Inheritance: Introduction
- Python Design Patterns: Working with Behavioral Design Patterns
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Working with Structural Design Patterns
- Python Journeyman
- Python Novice
- Python Requests: HTTP Requests with Python
- Pythonista
- Socket Programming in Python: Introduction
Pythonista to Python Master
- Dash Python Framework: Creating Widgets in Dash Apps
- Developing a Growth Mind-set
- Faust: Performing Operations & Maintaining State Using Tables
- Final Exam: Building Restful Web Services with Python
- Final Exam: Data Visualization for Web Apps Using Python
- Final Exam: Dynamic Data Handling with Python
- Final Exam: Python for Developers
- Final Exam: Resource Optimization with Python
- Flask-RESTful: Getting Started with Flask-RESTful to Build APIs
- Flask-RESTful: Integrating the API Server with a MySQL Database
- OpenCV: Advanced Image Operations
- OpenCV: Manipulating Images
- Operations with petl: Introduction
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Python Development: Performing Operations with Complex Data Types
- Python with Altair: An Introduction to Altair
- Python with Altair: Plotting Fundamental Graphs
- Python with Altair: Working with Specialized Graphs
- SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes
- SQL Databases Using SQLAlchemy: Getting Started
- Web Applications with Django: Introducing the Django Web Framework
- Web Applications with Django: Models and Class-based Views
Software Design and Development
- AI and ML Solutions with Python: Deep Learning and Neural Network Implementation
- AI and ML Solutions with Python: Machine Learning and Data Analytics
- AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Developing and Implementing IoT Solutions: MicroPython and Security
- Developing and Implementing IoT Solutions: MicroPython Board
- Excel with Python: Performing Advanced Operations
- Excel with Python: Working with Excel Spreadsheets from Python
- Flask in Python: User Interactions in Flask Applications
- Python AI Development: Introduction
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Concurrent Programming: Introduction to Concurrent Programming
- Python Concurrent Programming: Multithreading in Python
- Python Design Patterns: Principles of Good Design
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python for Data Science: Introduction to Pandas
- Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Python Unit Testing: An Introduction to Python's unittest Framework
- Python Unit Testing: Testing Python Code Using doctest
- Python: Data Science Fundamentals
- Python: Web Application Development
Software Development Solution Area
- Advanced Python Topics: Exceptions & Command Line Arguments
- AI and ML Solutions with Python: Implementing ML Algorithm Using scikit-learn
- AI and ML Solutions with Python: Implementing Robotic Process Automation
- Automation Testing for Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Dash Python Framework: Dash for Interactive Web Apps
- Dash Python Framework: Leveraging Dash with User Input & Dash DataTable
- Data Structures & Algorithms in Python: Implementing Data Structures
- Developing and Implementing IoT Solutions: Principles of IoT and Python Basics
- Flask in Python: Building a Simple Web Site Using Flask
- Getting Started with Python: Introduction
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- NLP for ML with Python: NLP Using Python & NLTK
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Python Classes & Inheritance: Getting Started with Classes in Python
- Python Concurrent Programming: Asynchronous Executions in Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Development: Defining, Configuring, & Invoking Functions
- Python Development: Getting Started with Programming in Python
- Python Unit Testing: Testing Python Code Using pytest
- Python: Classes and Modules
- Python: web2py and Test-driven Development
- Socket Programming in Python: Advanced Topics