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Python for Beginners • Learn Python with Hands-on Projects (2023-08)

chesskom
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  1. Python for Beginners • Learn Python with Hands-on Projects
  2. 136 sections • 536 lectures • 74h 49m total length
  3. 2023-08 | e-Learning | English | HTML, MP4 | 29.45 GB
  4.  
  5. Learn Python from Scratch. Master Python Basics, Data Processing, Web Development and Automation for Beginners.
  6.  
  7.  
  8. DOWNLOAD:
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  10. https://wplik.com/zgo6ozkkgvfh/py-4-beg-2023-08.part01.rar
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  41. https://wrzucaj.pl/512436a17bb1e205/py-4-beg-2023-08.part01.rar
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  72. https://rosefile.net/cz1h7btght/py-4-beg-2023-08.part01.rar.html
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  134. https://rg.to/file/a7e35cda0b91a9512aaab4285f001195/py-4-beg-2023-08.part01.rar
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  164. -------------------------
  165.  
  166.  
  167.  
  168. What you'll learn
  169. - Basics of Python Programming - Conditionals, Loops, Data types, String Manipulation, Date Manipulation, User Defined Functions, etc.
  170. - In depth coverage of Python collections such as list, tuple, dict, set and basics of file I/O.
  171. - Processing JSON Data and REST Payloads using Python.
  172. - Exception Handling, Unit Testing, Object Oriented Concepts using Python.
  173. - Database Programming using Python and Postgresql.
  174. - Develop Application for File Format Conversion using Python Pandas and improve performance using Multiprocessing.
  175. - Data Analysis and Visualization using Pandas as well as Dask.
  176. - Build Executable Command using Python.
  177. - Overview of Software Development Life Cycle.
  178. - Build Application to send emails using Python libraries such as Sendgrid and PyMongo.
  179. - Web Scraping using Python libraries such as BeautifulSoup and Scrapy.
  180. - Build Application to store scraped data in Mongodb using Python libraries such as Scrapy and PyMongo.
  181. - Develop Web Application using Python Flask.
  182. - Setup CI/CD Pipeline for Python Flask Application using GitHub Actions.
  183. - In depth coverage of Git such as branches, pull requests, GitHub Actions.
  184. - Develop Application to serve REST APIs using Python Flask, SQLAlchemy, etc.
  185. - Performance Tuning of SQL Queries used by Python Flask Applications.
  186. - Troubleshooting and Debugging of Python Applications.
  187. - Developing Python Applications using IDEs such as Visual Studio Code.
  188. - Reviewing REST APIs using Postman.
  189. - Using Generative AI Tools such as Chat GPT for Python Application Development.
  190.  
  191. Requirements
  192. - A Computer with at least 8 GB RAM and Dual Core (16 GB RAM and Quad Core are highly recommended).
  193. - As the Python Training will be online and self paced, it requires decent internet speed.
  194. - Background of Computer Science or Information Technology or relevant work experience is desired.
  195.  
  196. Description
  197.  
  198. About This Course
  199.  
  200. Welcome to 'Python for Beginners: Learn Python with Hands-on Projects' – a comprehensive introduction to Python, one of the most widely used programming languages in the world. Perfect for beginners, this course combines theory with practical exercises and projects, helping you build a solid understanding while applying your new skills in real-world scenarios.
  201.  
  202. Why Python?
  203.  
  204. Python's simplicity and power have made it the language of choice for many applications. From web development and data science to automation and AI, Python offers immense opportunities for aspiring developers and data professionals. By starting your coding journey with Python, you're opening the door to a rewarding career.
  205.  
  206. What Will You Learn?
  207.  
  208. This course covers Python fundamentals, including data types, variables, functions, conditionals, and loops. You'll also delve into more advanced topics like file handling, exception handling, JSON data processing, REST APIs, and web scraping.
  209.  
  210. Through hands-on projects, you'll get to practice what you've learned. Projects include creating a file format converter, building applications to send emails, scraping web pages and populating into Mongodb Database, Full Stack Web Application, developing a REST API server, and more.
  211.  
  212. Which Python Libraries are covered in the course?
  213.  
  214. The course covers quite a few important Python libraries from the perspective of building applications.
  215. - Pandas and Dask for Data Analysis and Visualization.
  216. - Libraries such as requests to consume data from REST Payloads
  217. - Sendgrid to send emails
  218. - Psycopg2 to interact with the Postgres database and PyMongo to interact with Mongodb
  219. - BeautifulSoup and Scrapy to scrape the web pages
  220. - Flask and SQLAlchemy to build web applications and REST API Servers. This includes an overview of HTML, Jinja Templating for Dynamic Web Pages, etc.
  221. - Modules such as json, csv, multiprocessing, logging, unittest from Python Core or Standard Library.
  222.  
  223. What other tools and technologies are covered as part of the course?
  224. On top of Python, there are quite a few other tools and technologies are covered in the course.
  225. - SQL using Postgres
  226. - MongoDB for NoSQL or Document Database
  227. - Git CLI and GitHub for code repository and CI/CD Pipeline
  228. - Visual Studio Code as IDE for Python application development
  229. - Postman and Curl to explore REST APIs
  230.  
  231. We have not only covered above mentioned tools and technologies but also extensively covered performance tuning and troubleshooting techniques.
  232.  
  233. Who Should Take This Course?
  234. This course is ideal for individuals with little or no prior programming experience who want to learn Python from scratch. If you're interested in data manipulation, web development, automation, or just want to understand the world of coding, this course is for you.
  235.  
  236. What are the Highlights of this Course?
  237. - Comprehensive Content: Master Python basics and explore advanced concepts like data manipulation, web development, and automation. Our course content is detailed, easy to understand, and structured for optimal learning.
  238. - Hands-on Approach: The course places heavy emphasis on practical learning with numerous quizzes, coding exercises and projects. This hands-on approach helps you understand Python's real-world applications, improving your problem-solving skills.
  239. - Real-world Projects: Engage in real-world projects, including creating a file format converter, building email applications, and developing a REST API server. These projects give you a taste of how Python is used in the industry.
  240. - Beginner-friendly: The course is specially designed for beginners. With comprehensive explanations and step-by-step instructions, even those with no prior coding experience can learn Python effectively.
  241. - In-depth Learning: Alongside Python programming, you'll delve into related fields like file handling, JSON data processing, web scraping, and even AI, giving you a well-rounded programming education.
  242.  
  243. Why This Course?
  244. "Python for Beginners - Learn Programming with Hands-on Projects" stands out for its unique blend of theory, quizzes, practical exercises, and projects. All lessons are designed to be engaging and interactive. You'll get to work on real-world applications of Python, making your learning journey exciting and productive.
  245.  
  246. How long it will take to complete the course?
  247. The completion time for this Python course largely depends on your existing knowledge, learning pace, and the time you can dedicate. This is a comprehensive Python course aimed at taking you from a beginner to an advanced level in Python programming, with a plethora of topics covered and numerous hands-on projects.
  248.  
  249. On average, our students take between 240-300 hours to complete this course. This includes time spent watching the lectures, participating in discussions, revising the learned content, and particularly engaging with the exercises and hands-on projects that form a significant part of the course. It's through these exercises that you'll truly internalize the knowledge and start thinking like a Python programmer.
  250.  
  251. Remember, the key to mastering programming is consistent practice, and it's better to fully understand and digest the course material than to rush through it. Spend time on the exercises, revisit topics if needed, and reach out through the Q&A section if you have questions. Enjoy the learning journey!
  252.  
  253. Start your Python journey with us today and unlock your potential!
  254.  
  255. Who this course is for:
  256. - College going students who want to learn how to build applications using Python as programming language.
  257. - IT Professionals and Aspirants who would like to explore Python for building applications.
  258. - Developers who want to learn how to build applications using Python as programming language.
  259.  
  260.  
  261.  
  262.  
  263. MORE COURSES:
  264. -----------------------------------------
  265. https://rg.to/folder/6531533/WEBSITE.html
  266. ---------------------------------------------
  267. https://rg.to/folder/6432280/PROGRAMMING.html
  268. ------------------------------------------------
  269. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  270. ------------------------------------------------
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