Welcome this comprehensive Python certification exam. This exam assumes that you have prior knowledge in Python programming and be able to code in python and having clear concept. This course is highly practical but it won't neglect the theory. we'll cover basics, understand the complete concept of environment , variables , loops , conditions , tuples , sets, structure , dictionary and more good concept of python. The Python exam will be taken over the Internet, at any time and from any location. this exam boost your knowledge and gives u a  new dimension of logical thinking and improving programming concept. The first  exam consists of 50 multiple choice or true/false questions. The exam is time-limited to 40 minutes. Candidates must have 75% correct answers to just pass the exam. Candidates who have more than 95% correct answers to show excellency in exam. The second  exam consists of 70 multiple choice or true/false questions. The exam is time-limited to 60 minutes. Candidates must have 75% correct answers to just pass the exam. Candidates who have more than 95% correct answers to show excellency in exam. Immediately after completing the exam, you will be informed of your score and of your pass/fail status. If you fail, or want to improve your score, you can take the exam one more time.

In this course, we are going to learn only the Advance Level Programming in Python . As grabbing the main concept behind Advance Topics is not simple therefor, special attention is given to the intuition part of each concept where we gonna understand these concepts with proper animated slides . Also we have covered Machine Learning Models in this course as well with all the Mathematics and Statistics involved behind each Model Also not only understanding these advance concepts are important but to make something real out of it is very important or else there is no reason to learn Advance Programming therefor we will also make real time Advance level Applications in Python using Advance level concepts. I believe that after taking this course, you gonna feel much more satisfied and comfortable with your programming in Python as you will then be a professional programmer who is capable to give any job interview.. I wish you very best for the Course

In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing. Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing. After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples. About the Author BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services

Many students and professionals of biosciences are not familiar with programming. However, the increasing amount of biological data generated every year, along with advances in biotechnology and the increasing role of informatics in life sciences makes the programming knowledge essential for biologists, biotechnologists, and so on! In this introductory course, you will learn how to model simple genetics problems using the programming language Python. First, you will learn how to implement the commands or data structures in Python. And Finally, we will model some problems in the field of genetics using the knowledge acquired so far. Since this is an introductory course, we will not use third-party libraries, such as Biopython, matplotlib, pandas, etc., but only the built-in commands, modules, and data structures

Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark ! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems! Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you'll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem! We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion! If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you!

Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects. Important updates (June 2020): CODES ALL UP TO DATE DEEP LEARNING CODED IN TENSORFLOW 2.0 TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!

If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python. Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as: Web scraping Parsing PDFs and Excel spreadsheets Automating the keyboard and mouse Sending emails and texts And several other practical topics By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.

If you want to get started programming in Python , you are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more! We are grateful for the great feedback we have received! "This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!" "Good course even for non-programmers too." "It's really well explained, clear. Not too slow, not too fast." "Very thorough, quick pace. I'm learning A TON! Thank you :)" "Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!" The following topics are covered in this course: Programming Basics Python Fundamentals JavaScript Object Notation (JSON) Web Scraping PyMongo (MongoDB) Web Development Django Web Framework Graphical User Interface (GUI) Programming (PyQt) Data Visualization Machine Learning This course is fully subtitled in English ! Thank you for taking the time to read this and we hope to see you in the course!

Welcome to the Complete Python Course! *** Fully updated for 2020 *** The course covers every major Python topic (including Object-Oriented Programming, Web Scraping, and even GUI development), and now includes even more content...! NEW CONTENT: Control your browser using Selenium, to scrape websites or even fill in forms! Learn to interact with REST APIs and build a currency exchange program Create desktop GUIs using Tkinter, so your users can work with your applications very easily Start working with unit testing in Python by learning about the unittest library We've also completely re-recorded the course's introductory Python material... so it’s even clearer and more straightforward! This course will take you from beginner to expert in Python, easily and smartly. We've crafted every piece of content to be concise and straightforward, while never leaving you confused. This course will dive right into Python and get you productive from the very beginning. This is the best investment you can make in your Python journey. Why Learn Python? Over the last few years, Python has become more and more popular. Demand for Python is booming in the job market and it is a skill that can help you enter some of the most exciting industries , including data science, web applications, home automation and many more. Python is one of the "most loved” and “most wanted” programming languages according to recent industry surveys. If people are not using Python already, they want to start using Python. This course will make it easy for you to learn Python and get ahead of your competition. Why Choose THIS Course? You will: Get a broader and deeper experience in Python than with any other Udemy course on the market. Start at zero and become an expert whilst learning all about the inner workings of Python. Learn how to write professional Python code like a professional Python developer. Develop a long-lasting love for Python and programming by creating good programming habits . Explore the wider possibilities of what you can do with Python, including databases, web development and web scraping . Become job-ready by learning about best practices, Selenium, unit testing, and all of the major Python topics. Who Is This Course For? Beginners who have never programmed before. Programmers with experience in other languages who want to kickstart their Python programming. Programmers who know some Python but want to round off their skills and become truly proficient. What Am I Going to Get From This Course? Lifetime access to over 250 lectures covering all aspects of Python, from the foundations to advanced concepts. An interactive screencast video from every lecture AND complete, written notes and code for you to read and refer back to you as you progress through the course. Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them. Guidance on common pitfalls and best practices including how to make your code "Pythonic" (looking like professional code), Object-Oriented Programming, database interactions, and more. Quizzes and tests for you to check your understanding. High-quality help and support. In the last year alone we've answered over 3000 student questions. We don’t leave a single question unanswered. You'll have 30 days to change your mind and get your money back, with absolutely no questions asked AND you'll get to keep all the course notes and code as a thank you for trying the course out. Don't Wait! Join the Course and Begin Coding in Python today!

Do you want to learn to build beautiful, well-functioning web apps? Join web developer Chris Veillette in this course for beginners to start building web apps today. Why React? React is an efficient and flexible JavaScript library for building user interfaces. Many popular websites including Instagram, Facebook, Netflix, and Imgur use React. You can build your own web apps! ​ This course is full of practical examples . ​We teach you theory while also building real projects that you can put in your web development portfolio. Learn TensorFlow, PyCharm, Java, Keras, and TensorFlow Lite. And so much more Machine learning, neural networks, deep learning, and artificial intelligence are all around us, and they're not going away. I will show you how to get a grasp on this ever-growing technology in this course. This course was funded by a wildly successful Kickstarter! With this course I will help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily. You will learn how to analyze images with the Keras library. We'll also take a look at TensorFlow Lite to: Build an object-localization app Build image/text classification Build a text summarizer This course is full of projects! No experience? No problem I'll teach you all fundamentals of PyCharm, Python, TensorFlow. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects. I teach through practical examples, follow-alongs, and over-the-shoulder tutorials. You won't need to go anywhere else. Build Models By the end of this course, you will have tons of machine learning projects on your belt. You will know how to build complete computational models and train models to make predictions. Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way! We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started. Enroll now to join the community!