Python is one of the world’s most popular, in-demand programming languages. Python has been recommended as a first language for beginners by Industry experts as well as top universities professor’s with some straightforward reasons,
- It’s easy to learn
- It’s super versatile
- It has a huge range of modules and libraries
- Exceedingly straightforward and logical, offering a wide selection of concepts that are simple to comprehend
- High paying job offers in different fields (Backend Development, Machine Learning, Automation Scripting, Data Science and more!)
Learning world's fastest growing programming language along with projects and proper schedule can be proved beneficial for beginners. Reading a book or documentation for beginners can be hard task so here in this blogpost we have python course recommendation which is interesting and focused for beginners, checkout Complete Python Programming A-Z for Beginners - Learn by Developing 7+ Projects - The Ultimate Python Developer Bundle.
We use Python daily as an integral part for backend development, data science tasks, automation, testing and what not. Here is a basic schedule you can follow with the course,
Section 1 - Basics & Setup,
Python Installation, Understanding DataTypes, Operators, Input-Output and Control Statements.
Section 2 - Strong Fundamentals,
Loops, String and Characters, Lists, Tuples, Dictionaries and Functions.
Section 3 - Things Getting Advance,
Important week with Object Oriented Programming (OOPS) - Classes and Objects, Encapsulation, Inheritance, Abstraction And Polymorphism!
Section 4 - Files & Errors Handling,
Work on Error Handling, File Handling and practice previous topics with programs.
Section 5 - Project Week Begins,
Understanding Python Package Management System, building our first project that is ‘Face Recognition’ with OpenCV followed with second one ‘Youtube Downloader’ with PyTub.
Section 6 - Data Analysis with Pandas,
This week we focus on ‘Data Analysis’ with Pandas. Data Analysis is one of the tasks that are really popular among companies and startups. You learn to use Jupyter Notebook to analyse tons of data with Pandas library.
Section 7 - Playing With Bitcoin & Cryptocurrencies,
Next project begins with Tkinter and SQLite database, this phase focuses on our 4th project that is ‘Building CryptoCurrency Portfolio - Desktop Application with Bitcoin API’
Section 8 - Building Bot with Twitter API,
Entering new section with your 5th project that is “Developing Automated Twitter Bot” along with few exercises. Learn how companies use bots to gain followers, reply to users and automatically like status!
Section 9 - Foundation To Build Web Application,
Your big project is here, build a solid foundation for Web Development with Django Framework. (Instagram, Google, Paytm, Pinterest and more than 1000s of companies and startup use Django for their development.)
Section 10 - Experimenting With Django,
Your week begins with your 6th project by building a Task Manager Web Application with complete understanding of backend development.
Section 11 - Deploying Our Django Project on Server,
Big phase to launch our application on online server along with understanding of code management. You will launch your web application on Heroku server along with code hosting on Github.
Section 12 - Solving Python Question,
You are about to graduate this course with 7th project along with few exercises, Advices, Quizzes and Cheat Sheets so you are prepared for your Internship and Job.
After completing this course you will be ready to dive deep and work as an intermediate Python Developer. You will be ready to choose advanced courses on Web Development, Machine Learning, Deep Learning or Automation with Selenium.
Python gives you the opportunity to explore different fields with strong career options. Few weeks of proper guidance can change a lot of stuff for you,
- Knowledge to solve Interview Questions
- Projects in your Resume
- Proper Online Portfolio
- Advice on how to take head start and apply to companies and lot more
With current education scenario, an average student spends over 500,000 to 20,00,000 INR on its College Degree (Bachelors or Masters) and still lacks core skill to get a good internship or job that's mainly because unnecessary subjects in college curriculum, not following proper roadmap throughout 8 semester in a particular field or maybe inactive peer group. Students need to invest their money and time properly throughout their college period to get better results in the form of internship or job offer.
How to Become Job Ready Python Developer This Semester?
All you need is discipline and consistency, enrol into The Ultimate A-Z Python Developer Bootcamp For Beginner and start learning today. Don’t worry about the end date; you get course access for the next 4 years, so you join today and can watch them anytime for the next 4 years without worrying in which semester you are, you can start and complete according to your speed whenever you want and how many times you want. Watch lecture once or 10 times, till you understand. You get 4 year access to content, Q/A support, tips and tricks to crack internship and job interviews, proper development path and understanding to build projects.
Be The Part Of Python Universe Today!
Frequently Asked Questions -
Q - Can a beginner with zero coding experience can start learning Python?
A - Definitely you can start python and complete it without prior coding experience.
Q - Is it necessary to know any other programming languages like C, C++ before starting python?
A - No, you don’t need any experience with any other programming language.
Q - How many months it will take me to reach intermediate level?
A - If schedule and consistency followed properly you can reach intermediate level within 2-3 months.
Q - Do I get Q/A support, if I have any problem during lectures?
A - Yes, you get Q/A support for all lecture. We have dedicated Q/A section, once you join the course you will have access to it.
Q - Do I get Certificate after course completion?
A - Yes, once you complete the course you get Digital Certificate for training.
Q - How long I have access to the course, can I watch them later?
A - You have 4 year access to the course, you can watch them anytime, as many times as you want.