Mighty Python Bundle

Around a decade ago, Python was only known in specific niches, but since it has been consistently ranking in the list of top popular programming languages! Python has become known as an easy to learn and easy to use language, making it a great programming language for newbies. But just because it is easy to learn and easy to use, doesn't make it any less powerful. Python is a general-purpose programming language that also supports oop features such as polymorphism, operator overloading, inheritance, etc. The best part about Python is the readability of the syntax and the language itself. Python doesn't follow the syntax rules of other high-functioning programming languages such as C and C++, but instead opts for a more simpler set of rules, which focuses more on text, rather than symbols and characters. It also comes with powerful add-on tools, which can aid in writing codes faster also provides more functionality to the language. This makes it a great language for any newbies, and also many professional and experienced programmers. If you want to master this amazing programming language with a simple and no-fuss course, than we have just the course for you! In this tutorial, you will be introduced to Python version 3. X. You will learn the basic syntax using a hands-on approach. This guideline will not only familiarize you with the basics, but also it will demonstrate the Python ide (integrated development environment) , for writing actual programs and learning how to debug them. Everything in this course will be hands-on, so that you at the end of this course you will know exactly how to coding in python. Divided into 8 modules, each module will cover a combination of theory and practical, with the final module being an entire project that you will design from scratch along with the instructor.

The creator of Python developed it because he couldn't find the exact programming language he was looking for. He created Python from scratch, using the best features of abc, but also being able to interact with the amoeba os system. Python is a fast-paced language and is highly in demand. We have created a comprehensive course that will guide you through the process. This course will teach you Python programming concepts and techniques. It will also help you to learn Python syntax and basic functions. You will also learn about lambda, as well as more complicated programs like matrix operations. You will learn about lambda and more complex programs like matrix operations. This course will make you a Python charmer.

I know that the process of learning programming can be difficult and frustrating. For this reason, we decided to develop a different learning experience for you. Instead of just programming on a screen, we use the power of animation in order to analyze the basic ideas. At the same time, I use a digital pen in order to develop the solution of the problem for you. And finally, when you come to a good level of understanding of the problem, we start the actual programming in Python language. With these 3 layers of teaching process, you will never feel that you can't build a program, because we will be helping you in every step of the way. You will go a step further, by learning not only the command lines in the Python language but you will also develop your logical thinking, in order to solve any problem efficiently and easily. If you already have previous experience with any programming language not only programming in Python but also java, C++, c you already know that the challenging part is not how to write a command line correctly. Rather, it is how to use all the bits and pieces that you have learned in order to solve a problem. It includes how to take an application idea that you have and transform it into a program that works correctly under every situation. For this exact reason, we give attention to exactly the parts that programming really needs. So, in the first part of the course, we will start by learning the basics about variables and how to solve interesting and challenging programs only with variables. Than, in the next parts you will learn about the if statement, loops, functions and more advanced concepts that Python includes. Our methodology involves solving carefully chosen problems. In most cases, we will create 2 or even 3 different solutions, in order to teach you not only how to solve a problem, but how to craft a solution, and how you can take different paths in order to reach a certain destination. To follow this course you need to have a compiler to work in. You have two main options: the first one is to download Python language from the internet. You can find numerous tutorials for that on you tube, so I really don't want to waste your time with information that is not essential. The second one is to use a special website where you can program in Python language without any installation. More specifically, you can find it in google just by writing replit - Python language. What you will find in this course: a detailed introduction to Python an understanding in basics such as variables, if statements, loops, arrays, etc. How to divide a number into digits a number of different practice exercises in Python extra bonus content and so much more! So, come along to check out how our different approach works for you!

Computers are getting smarter, and with I pushed in to the pot, machine learning has become a prominent technological revolution that is changing how we run our devices. Devising algorithms for a in't that easy, and require an extensive library to help them perform various tasks. Tensor flow is one such library, this open-source library is created for dataflow programming across a range of tasks. It is also a symbolic math library that is commonly used for machine learning applications such as neural networks. Tensor flow was designed by the google team on their closed-source machine learning system known as dist belief. This amazing system was designed to be useful in both research and commercial applications if you want to boost your career in machine learning and i, then this is a great system for you to learn. And because it is such a complex subject to learn, we have designed a brilliant course to help you simplify it. This course lays a solid foundation to tensor flow, a leading machine learning library from google I team. You'll see how tensor flow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will also learn how to use and reuse tensorflow effectively and apply on industry relevant problems. Everything you learn in this course will help you get a better footing in your career, as well as help you move to much bigger and better things. What'll find in this course: introduction to tensor flow what is tensor flow & why should you use it? Tensor flow as an interface and as an environment installing tensorflow and becoming familiar with the interface running your first tensor flow program building actual neural networks using tensor flow deepening the networks and integrating deep learning transfer learning using keras and tf learn enroll now and start building deeper and smarter algorithms with tensor flow.

This course was funded by a wildly successful kickstarter. Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. This course is suitable for coding beginners because we begin with a complete introduction to coding. Than we delve deep into using matplotlib, a Python 2D plotting library. In part 1, you learn how to use python, a popular coding language used for websites like you tube and instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output. We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional blackjack game! You learn how to solve errors that can occur when you work as a programmer. In part 2, you take your Python knowledge and apply it to matplotlib. We go over many cool features of matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!

Do you want to learn how to use artificial intelligence (i) for automation? In this course, we cover coding in python, working with tensor flow, and analyzing credit card fraud. We interweave theory with practical examples so that you learn by doing. I is code that mimics certain tasks. You can use I to predict trends like the stock market. Automating tasks has exploded in popularity since tensor flow became available to the public (like you and me! ) I like tensor flow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers! Join mammoth interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to credit card fraud detection.

Get your hands dirty by building machine learning models master logistic and linear regression, the workhorse of data science build your foundation for data science fast-paced course with all the basic & intermediate level concepts learn to manage data using standard tools like pandas this course is designed to get students on board with data science and make them ready to solve industry problems. This course is a perfect blend of foundations of data science, industry standards, broader understanding of machine learning and practical applications. Special emphasis is given to regression analysis. Linear and logistic regression is still the workhorse of data science. These two topics are the most basic machine learning techniques that everyone should understand well. Concepts of overfitting, regularization etc. Are discussed in details. These fundamental understandings are crucial as these can be applied to almost every machine learning methods. This course also provide an understanding of the industry standards, best practices for formulating, applying and maintaining data driven products. It starts off with basic explanation of machine learning concepts and how to set up your environment. Next data wrangling and eda with pandas are discussed with hands on examples. Next linear and logistic regression is discussed in details and applied to solve real industry problems. Learning the industry standard best practices and evaluating the models for sustained development comes next. Final learning are around some of the core challenges and how to tackle them in an industry set up. This course supplies in-depth content that put the theory into practice.

With so many Python based data science & machine learning courses around, why should you take this course? As the title name suggests- this course your complete guide to both supervised & unsupervised learning using python. This means, this course covers main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised to supervised learning in python, you can give your company a competitive edge - and boost your career to the next level. This is my promise to you complete this one course to become a pro in practical Python based machine learning but first things first. My name is minerva singh and I am an oxford university Mphil (geography and environment) graduate. I recently finished a PhD at cambridge university (tropical ecology and conservation) . I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic . This course will give you a robust grounding in the main aspects of machine learning- clustering & classification. Unlike other Python instructors, I dig deep into the machine learning features of Python and gives you a one-of-a-kind grounding in Python data science! You will go all the way from carrying out data reading & cleaning to machine learning to finally implementing simple deep learning based models using python.

Python is one the most used programming languages. Python is a popular programming language. This course aims to inspire a love of programming.

What will you gain about this course? This Python course is more hands-on than theory. Learn latest coding style that can be used in the programming industry. The only Python course that teaches you every detail and with awesome codes. Welcome to superb Python course - become certified Python developer this is the best course to fulfill your dream to become Python developer. I will teach you more hands-on to enhance your programming skills faster. Python is a powerful programming language it can be use in web development and desktop application. Python has standard libraries that offers all the things needed to build a complex application. With this course you can be beginner to professional in just 4 weeks.

Want to learn Python "on the job" whilst building an exciting course project? This course is for you!Python is probably THE most trending programming language you can learn these days!It's very popular because It's easy to learn and use, runs on all operating systems and allows you to build a broad variety of programs: Be that web applications, desktop applications, utility scripts or using it for data science and machine learning.In this course, you'll learn Python from scratch - and you'll do so whilst building your own Blockchain and Cryptocurrency. These are of course also highly trending topics and not a lot of people understand what a Blockchain really is. As a nice side-effect, you will know how a Blockchain works once you completed this course. It's an exciting course project that allows you to learn and apply Python to something you know and you can use.Why Python?As written above, Python is both easy-to-use and extremely versatile and powerful at the same time. Certainly not the worst combination. If you check it on Google trends (and compare it to other programming languages), you'll see that It's very popular these days.It's being used by almost any important company - be that Google, Amazon or Facebook. It's used to run web applications, scripts, desktop programs and machine learning algorithms. This course sets the basics for all these use-cases!Why Blockchain?I believe that you learn something best if you directly apply it to a real-world project. And the Blockchain technology is an exciting trend which is there to stay. In this course, you'll learn a lot about the core concepts of the Blockchain and you'll see how Python can be used for the many aspects that make up a Blockchain and Cryptocurrency.In my opinion, a perfect course project is challenging, interesting, something you know from real-life but also not overly complex. And that's all the case for the Blockchain! It poses some nice challenges where a lot of different Python features can be used to overcome them. It also is something we hear about all the time and yet no one knows how it works. And we can dive into the core Blockchain concepts without spending 100+ hours working on it.

This course with a simple idea in mind: teach you the basics of Python + data science in a practical way, so that you can acquire, test and master your Python skills gradually.

So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem alien stuff that you don't understand. So, the question is: how do you go from a beginning level programmer to the expert level? How do you become a guru? This course answers this question. In it, we will be building on top of your existing basic understanding of the Python language (and programming in general) . We will cover concepts that will take you to the next level of programming expertise. These will include language constructs that are typically not covered in a beginner level course. Concepts like generators, decorators, callbacks, higher order functions, context managers and others. We will also discuss some tools that are not difficult but are essential to the life of a professional programmer. An example of this is logging for tracking down bugs a simple technique that is used in all production level software but is never touched upon in typical programming courses. We will discuss parallel programming multi-threading and synchronization issues another important concept you must understand to code in a production environment. We discuss these through a case study to explain why you need them as well as how to use them. Closely related to this, a highly important concept in today's programming practice is the idea of asynchronous programming more commonly known as asyncio. Python and javascript two of the most influential languages in today's development are heavily focused on this new paradigm and we will cover this in a very intuitive, easy to understand manner. For all concepts, we take a case study-based approach and motivate why we need the concepts we're seeing and how everything fits together. Remember: the most important reason you're paying for a course is support. So, please ask questions in the Q&A forum if you ever get stuck. I have a maximum response time of around 15 hours not average, maximum. Please use this to your advantage ask questions and you should be able to breeze through this course and go beyond a basic level of programming to the next level where your code will take less time to write .Will be clean and much easier to maintain. What will I learn? Cross-cutting tools (logging and testing) caveats in usage of lists intermediate Python concepts such as decorators, generators, context managers parallel programming, multithreading, synchronization, locks asynchronous programming (asyncio) plotting data

Learn all the steps for extending the latest version of qgis (3. 0. 1) With custom Python plugins. This course covers software installation, environment set up, creating a base plugin, deploying the plugin, developing user interfaces with py qt5, automating data import, and basic implementation of geoprocessing. You will also learn to import base maps from sources like google, bing, and esri. The skills you learn in this course will prepare you to develop plugins on your own to extend qgis to meet your needs.

Hands-on course using jupyter notebooks. All code can be found at Github. Students are encouraged to type the code in their own jupyter notebook as they watch the video.

We are glad to welcome you to my course machine learning with Python for dummies. This course will provide an overview and detail about the course. Artificial intelligence, machine learning, and deep learning neural networks are some of the most popular terms in technology. It is also one of the most misunderstood terms and confusing terms. Artificial intelligence is a wide spectrum of science that aims to make machines smarter than humans. Machine learning and neural networks are just two of the many subsets of this machine learning platform. Let's find out what machine learning is now. We were in our learning phase at that time, just like human babies. We learned to crawl, stand, and walk. Than we learned to speak simple sentences. Before we could walk and talk, there were many mistakes and trials. The most successful trials in walking and talking that gave us positive results were saved and used later. This is a machine learning mechanism. As we grew up, we started to think logically about many topics, and felt emotions. We continued to think and came up with solutions to everyday problems. This is what deep learning neural network scientists aim to do. Machine learning is the main focus of this course. This course prepares our machine for a prediction test. This is similar to how you prepare for the mathematics test at school or college. Learning and training ourselves is done by solving as many similar problems as possible. These are the 'training input and 'training output' respectively. The actual test comes next. The new problems will be very similar to those we've already learned. We must solve them based on our previous practice and learning experience. These problems can be called 'testing input', and our answers 'predicted output'. Our professor will later evaluate the answers and compare them with their actual answers. We call these actual answers 'test output'. On the basis of correct answers, a mark is given. This mark is called our "accuracy". This is the life of a data scientist and machine learning engineer. Our programming language is python. Python is an excellent tool for developing programs that perform data analysis and forecasting. There are tons of features and classes that perform complex mathematical analysis. However, the code is very simple and can be used to solve these problems in just a few lines. This means you don't need to be a math genius to learn machine learning and data science. Python makes it easy.

Build your twitter bot to 1. Auto reply 2. Auto reply 2. Auto favorite/like4. You will also learn about Python and tweepy throughout the course. Tweepy and twitter API: understanding it. Working with timeline data: extracting it. Building logic to manipulate data and perform functions on the data. Get started by updating the first status via terminal. 6. Completing auto retweet, like and arciar search. 7. Automating bot online 24/7

The job market is flooded with Python developers. Google, facebook, and other big companies pay a high salary for their Python developers. You should choose a good programming language. Google, facebook, IBM, twitter reddit, instagram, and nasa all use Python for their projects. Google uses Python to build its search engine, and nasa builds their launched system using python. This course will provide 30 lectures that will teach you how to use Python programming language. I/o statements - you will learn how to take input from user and give output on screen. Date types - become a master of the data types and declared a correct type of variable in program. Operators - you will master the mathematics rules for Python programming. Conditional statements - make your program generic by mastering the loops. Decision statement - teach your program to take decision. Functions - you will learn the most important part of programming. List and dic - I will teach you list and dictionary which will help to store multiple data in a program. This course will teach you how to create Python libraries like numpy and scipy. You can also join the Python community. The course also includes some major projects that help students create their Python portfolio. The course first section focuses on Python programming basics. Later sections loops, if else, and functions will focus on more advanced Python programming. After completing the Python course you will be able to build a software program. The Python course will help achieve these goals. I offer a 30-day money back guarantee. I know you will love this course. But, you also have 30 days money back guarantee. ! Happy coding! ! ! ! !

Learn how to become an Python programmer! Python is a very popular skill in today's software industry. Python can be used to develop web, video, and machine learning applications. Welcome to Python for everyone, the comprehensive Python course for beginners, intermediate, and advanced developers. This course is for everyone, regardless of whether you are a beginner or an experienced programmer. Interactive notebooks allow you to test my code and safely experiment with python. You can also write notes alongside your code! These interactive notebooks, quizzes and code tests are provided by Python for everybody to provide the best learning experience! This is the best way to learn!

Hi there,welcome to Python 101 : your first step to learning how to program using python. Python is in the top 3 most popular programming languages in the world. Bit is easy to learn, easy to read, and easy to write, plus Python is incredibly powerful. Some of the things you can create with Python are: some of the most popular companies in the world use and support python, too. Such as: and in 2021 you will definitely want to know Python as it becomes more powerful and more popular. As it grows, so will job demand for Python programmers. The nice thing is: Python is easy to learn and quick to get a hang of. But why use Python instead of other languages like java? Python is consistently the top choice for new programmers : not because it is beginner friendly, but because it is easy to read and write. You do not have to learn all sorts of new rules or write crazy letters beside each other. Python is made in such a way you can literally just read through your code like it is a book. No other language has that kind of power. Plus it is fast and scales well when there is a lot of use, unlike node.js. How much effort will this course take? Barely any! I have taught thousands of people how to program using Python and I have designed a perfect beginner course. I expect this course to take you about 7 hours in total, that is including all the small tasks at the end of almost every lesson and the final project. Why kalob as your instructor? Hello, I am kalob, your instructor through Python 101. I am a seasoned Python programmer, senior web developer, and have taught tens of thousands of people how to code using python. I have helped people learn to make websites with absolutely no prior experience and than helped them land their first job at companies like google, AWS, facebook, netflix, and more. I write Python every day, even for my hobby projects. It is my #1 choice for a programming language and I am passionate about it. And once you start learning python, I am confident you will be passionate about it as well. Can I take this class if I am on windows, mac os, or linux? Yes, of course, you can! There are only a few small cases where you would do things differently on windows than on mac os, and I will show you all the commands for every operating system in this course. Heads up! Mac os and linux are very similar operating systems behind the scenes. So we only need to cover one of them to learn both. Windows is the oddball, but it is still supported in this course.