Python En Concentr
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Python Made Simple
Take tiny steps to enter the big world of data science through this interesting guide DESCRIPTIONÊ In the last few years, python gained popularity and became the first choice of the students, teachers as well as professionals. It is being used in different fields such as education, software development, website development and also in various advanced research. In the field of education it allows students to learn the programming language in an easier and efficient manner. In the information technology field it can be used as a language for creating softwares as well as for web developments. It can be integrated with different platforms like Django. In research, Python programming can be used in simulation or it can be used for machine learning techniques. The primary goal of this text is to create a pedagogically sound and accessible textbook that emphasises on core concepts of Python programming. The book contains lots of practical examples to show the working of a particular code construct. The book can be very helpful in order to learn the basic and advance concepts of python programming. In the beginning of the book the focus is on the basic concepts related to core python programming starting from the installation phase of python interpreterÊto building the concepts for the reader towards python programming. Then the book moves towards the concept of different statements and programming conditions that python programming can handle in an easier manner. It then moves to the concepts related to object oriented programming and at last the reader will get to know about the database connectivity with the python program. KEY FEATURES Acquire basic concepts related to python programming Understand the core functionalities of Python Programming Provide the information regarding idle IDE Computational Problem solving in Python Object oriented concepts in Python Database connectivity with Python WHAT WILL YOU LEARN You can learn the core concept related to python programming You will get to learn how to program in python You can learn how Python programming helps to solve computational problems By reading this book you can learn how to work with pythonÊ You will get familiarity with the python programming concepts. You will learn how to operate idle IDE and how it can be used to write python program in easier way. WHO THIS BOOK IS FOR The book is intended for anyone who wish to learn python programming language. This book also covers the syllabus of various universities and readers can use this book as a help in their academic education. This book can be used by readers to start with python programming from basics to advanced level even without having any prior knowledge of python programming.Ê Table of Contents Introduction to Python Python Fundamentals Expression and Operators Control Statements Functions List Processing Tuple Processing Dictionary Processing String Processing File Processing Exception Handling Object Oriented Programming Inheritance & Polymorphism Database Design in Python
Python Programming, Deep Learning
Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! 💻 Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner’s guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here’s what you’ll get: ✅ Highly innovative ways to boost your understanding of Python programming, data analysis, and machine learning ✅ Quickly and effectively stop fraud with machine learning ✅ Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! ✓ With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that’ll maximize your understanding, and equip you with all the skills for real-life application! ★ Thrive in the IT industry with this comprehensive Python Programming crash course! ★ Scroll up, Click on “Buy Now”, and Start Learning Today!
Time Series Forecasting in Python
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivariate forecasting models to predict many time series at once Leverage large datasets by using deep learning for forecasting time series Automate the forecasting process Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. About the technology You can predict the future—with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before. About the book Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts. What's inside Create models for seasonal effects and external variables Multivariate forecasting models to predict multiple time series Deep learning for large datasets Automate the forecasting process About the reader For data scientists familiar with Python and TensorFlow. About the author Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada’s largest banks. Table of Contents PART 1 TIME WAITS FOR NO ONE 1 Understanding time series forecasting 2 A naive prediction of the future 3 Going on a random walk PART 2 FORECASTING WITH STATISTICAL MODELS 4 Modeling a moving average process 5 Modeling an autoregressive process 6 Modeling complex time series 7 Forecasting non-stationary time series 8 Accounting for seasonality 9 Adding external variables to our model 10 Forecasting multiple time series 11 Capstone: Forecasting the number of antidiabetic drug prescriptions in Australia PART 3 LARGE-SCALE FORECASTING WITH DEEP LEARNING 12 Introducing deep learning for time series forecasting 13 Data windowing and creating baselines for deep learning 14 Baby steps with deep learning 15 Remembering the past with LSTM 16 Filtering a time series with CNN 17 Using predictions to make more predictions 18 Capstone: Forecasting the electric power consumption of a household PART 4 AUTOMATING FORECASTING AT SCALE 19 Automating time series forecasting with Prophet 20 Capstone: Forecasting the monthly average retail price of steak in Canada 21 Going above and beyond