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So, what are we waiting for, let's start with the very first thing, yes, I am talking about learning Python programming language and then we will move into essential Python tools, libraries, and Python frameworks for web development, data science and machine learning. Python is a popular language, as you know. Therefore, many people have created online resources to teach students this language: a paid course, a YouTube channel, or a free blog. All of these resources are good to start. Python experts write the official python documentation. It follows step by step to understand the language. Still, sometimes since you are new, it may get hard to understand some concepts or arguments, especially if you like learning from videos, not reading articles. Suppose you like learning python from videos and have some money to invest in yourself. In that case, I suggest looking at this Complete Python Bootcamp From Zero to Hero in Python course on Udemy that will teach you almost everything you need to know to jump your career to the next level and start building something useful with this language.
First of all, install the Python interpreter on your computer and install an IDE (Integrated Development Environment) such as Jupyter Notebook or PyCharm then you can start following these beginner lessons such as python data types, code instructor, accepting user input, if statement, for & while loops, functions, lists, dictionaries, tuples, sets, boolean, Lambda function, arrays. Those are the basics of python language, but later, you will also need to learn OOP (Object Oriented Programming), which consists of class, constructor, getter & setter, modules, inheritance, static methods, iterable, class method, and multiple inheritances. But if you are not satisfied with these two Python resources and want to learn from YouTube videos or blog posts and follow the topics, I will guide you on how you can achieve it. I have also shared my favorite Python courses, books, projects and websites to learn Python online. Once you’ve completed all of these topics and practiced enough, then you are ready now to build something using this language.
Python is an open-source language meaning people are constantly collaborating to make it easier to use in every industry, so they’ve created many packages and libraries to use them in building your project instead of writing the whole code using the native python language. 2.1.1. Django: is a collection of python libraries that allows you to build web applications and is used for both front-end & back-end and is considered a high-level web framework. Django can be integrated with many database systems such as PostgreSQL, MySQL, SQLite, and Oracle. 2.1.2. Flask: is a back-end python framework also used a lot in developing web applications and more straightforward for learning than Django but not powerful and extensive as the previous one, and it is used for simple and lightweight web applications. 2.2.1. Tkinter: The only GUI library that is integrated by default in the python language and has a lot of documentation and tutorial if you want to start building desktop applications that can run on many OS systems.
2.2.2. PyQT: is free software that is also used for developing a better UI than Tkinter and can add more functionalities to your desktop applications by combining Python and QT libraries. Data visualization is converting data to meaningful charts for a better understanding of the problem and is used a lot among data scientists and analysts. 2.3.1. Matplotlib: is the famous library for making data visualization with 2D and even 3D visualization with only a few simple commands, making it the favorite one among data scientists, data analysts, and machine learning engineers. 2.3.2. Seaborn: is built on top of the matplotlib library, but it offers more customizable options in data visualization and is used a lot in statistical plotting and works efficiently with pandas DataFrames. That's all about the 2024 Python Developer RoadMap. I have created this RoadMap keeping beginners in mind who want to learn Python and start their career as Python developer on Web development, Data Science or Machine Learning. This list of frameworks and libraries is nothing compared to what python language has. Still, I’ve recommended the most used ones to start building something useful and remember to be patient while learning this fabulous language.
With no warning, your washing machine has become violently mutinous. As you watch in horror, its typical spin cycle goes psycho. The entire possessed unit vibrates across the floor toward you, with the lid flung open and untold gallons of water spewing, soaking your basement and sinking your savings account. It's probably time to buy another one. Whether your older appliances have gone berserk or just really need updating, the used-appliance market is always an option. But it's best to understand the pros and cons of used equipment before you spring for the first refrigerator you find on a classified ad Web site. What's more, there's a certain element of risk that comes into play every time you buy a used product, whether it's a car, camera or dryer. We'd love to vouch for specific product categories and their general reliability on the used market. However, product quality varies so much from manufacturer to manufacturer (and even within products made by one company), that it's difficult, if not impossible, to say that ovens, for example, are always a great deal when you find them used.
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