How to Learn Python Effectively
The Python programming language has definitely gained more popularity over the past few years. Even though it’s already been a while since it was generated during the hairy 80s and officially issued in 1991, it is still at the top of the list of most sought after programming skills. Yes, the Internet has improved a long way since the 90s delivering much versatility and complexity now. But Python is still a beacon of salvation to lots of programmers who swim in the vast ocean of digital codes.
Programming skills in Python are highly desired by many professionals including absolute newbies. A recent survey conducted by Job Search and Act stated – Python pros are in the list of the most demanded programmers worldwide.
But Python isn’t just popular for being trendy. Why is it in demand? In simple words – it nearly works for anything. It is multi-purposed. Python is utilized from back-end web servers to front-end development. And everything in between. Being not only clear, logical, and concise, Python is also extremely easy to read. Therefore, it’s awesome for either cracking small or corporate projects on a large scale. The Python programming language is a must-have tool in the toolbox and arsenal of every professional coder.
Here, in this blog post, we’ll list strategies that work effectively during the process of learning Python. From this article, you’ll also learn how to gain more practical experience while learning Python from scratch.
Table of Contents
- How to Learn Python Effectively
- What is Python?
- What Python primarily used for?
- What are the main reasons for learning Python?
- What are the strategies used for learning Python?
- Online classes for learning Python on Grinfer
- Innovative Python
- Python 3.8 – Milestones for a python programmer
- Automated Multiple Face Recognition using Python
- Selenium Webdriver Using Python for Beginners
What is Python?
Python was generated by Guido van Rossum, who was a BDFL (Benevolent Dictator for Life) from 1995 until he resigned in 2018. Python is appreciated for supporting multiple paradigms – structured, object-oriented, and functional programming.
Also, it is often described as a “batteries included” for utilizing a comprehensive standard library. Another great feature of Python is in its syntax, due to its lesser complexity compared to other popular languages. No complex variables or need for parentheses to group code blocks. This makes it great for coders.
What Python primarily used for?
Python is nearly an ideal tool for toiling on web development projects. It is also widely utilized for software development. Heck, it’s even perfect for designing scientific applications. Python is extremely fast compared to other web development languages, such as PHP or ASP.net. But even more, Python offers a whole variety of awesome frameworks like Bottle, Pylone, Django, which can make the whole process of web development even more simple.
What other things Python is utilized for?
Another primary area is machine learning and tech projects conducted by Artificial intelligence. Coders take advantage of libraries, such as Scikit-Learn or TensorFlow, which are popular due to the ability to simplify AI tasks (if compared to R or MATLAB).
Another feature that is worth mentioning is the Raspberry Pi, which is a portable microcomputer. Raspberry Pi is part of various applications such as digital toys, robots, game consoles, etc. Basically, if anybody is after creating something with the Raspberry Pi, he or she needs to learn Python too.
What are the main reasons for learning Python?
Since we’ve already briefly touched upon the subject of what Python is used for, let’s go deeper into this. We outlined major points speaking about what are good reasons for learning Python skills. Now we’ll go through some needy points which are good to know for absolute beginners:
Awesome for software prototyping. Python is a perfect pick for projects that deal with prototyping. Because of this reason, a huge number of coders keep on advancing its usage. Python is greatly appreciated for scalability and flexibility. Python’s refactoring code is able to speed up the initial prototype and provides an easy-to-use interface for building prototypes.
And again, speaking about web development and the role of Python. No doubt, Python has the lion’s share in web development processes, which makes companies hunt for coders who are good with Python. So, learn such popular and widely used frameworks like CherryPy, Bottle, Flask, etc. With this knowledge, you can become priceless on the job market by providing full support for web development projects. Also, you will be able to work on such great projects like Zope, Plone, Quixote, ERP5, or a solution utilized by the aerospace industry, which is also open-source.
Computing scientific or numeric applications. Today, Python is an undoubtful coding solution for building numeric apps used in science fields. This is because of some obvious various reasons. The first major reason is that Python allows modifying and redistributing source codes. Another reason is that Python utilizes such useful specialized modules as SciPy, IPython, NumPy, etc. You don’t have to pay money for these modules online.
Data science management used in machine learning. Lots of businesses and corporations are in desperate need now of good engineers who specialize in machine learning. Why so? Since they have all the skills to work and sort huge stacks of data by filtering and organizing it, they get full support from companies. Businesses recognized the obvious benefit that such professionals bring to the decision-making process. These benefits span managing corporate databases, business analytics, etc. Needless to say, Python is still now an irreplaceable (if not a primary) language for accessing the ML domain and completing such tasks like data collection, web scraping, and building algorithms.
GUI programming. Python works well for developing image processing apps and complex GUI libraries being sort of the catalyst in these processes. Since the coding syntax used by Python is clean but straightforward, it gets dynamic support for such GUI libraries as wxWidgets or PySide. Python is not only good for solving the 2D tasks but also is very effective for 3D animation. Such popular software like Maya, 3ds Max, Blender, Cinema 4D integrates perfectly with the Python language.
What are the strategies used for learning Python?
For a smooth transition from an absolute beginner in the world of programming to an experienced coder, crack Python by using the most effective strategies. Even though lots of coders throw such snippets as – “oh, common, Python is easy!” There is a good chance that you might be more confused at the very beginning than you even think. Before getting a clear picture of how everything fits together and writing lines of code, crack Python properly. Keep in mind one simple thing – Python is a journey but not a destination. Have fun on the way!
Start with small steps and keep a good track of everything you learn along the way. At the very beginning, when just started in your learning process, Python can be confusing. Don’t beat yourself down! Be kind to yourself when it seems like you are not able to crack something or don’t understand. A key here is in setting realistic goals and going with small steps forward to completing your targets. Stay cool, don’t rush anything, even though you can feel very impatient about messing around with all kinds of awesome stuff and building it with Python codes.
Code every day getting used to a routine. First, start every day by spending about 25 minutes figuring everything out. Then work your way through by building a stronger foundation for future coding projects. Exercise by having lots of regular practice. Don’t aim for the stars right off the bat, but proceed steadily practicing. Remember, consistency plays a key role during the process of learning Python because it is just any other language – needs lots of commitment. Get to the point when you almost develop muscle like memory.
Use the Python shell (or interpreter) for being interactive. No matter what you are learning at the moment, try the interactive Python shell and practice with that. This can be helpful for basic Python structures like strings, lists, dictionaries, or even for debugging an app.
Don’t be afraid of being a Python coder. Since most of the learning comes from practice, start building something you want to build. Start with small exercises that can boost confidence. Once you become more comfortable and you get to the point where you feel like you have a solid grasp on Python basics, move to more professional projects.
Gain insights by utilizing Python libraries and analysis. These include arrays from NumPy, data frames from Pandas, also prepare and train models.
Learn by collaborating and contributing to open sources created and offered by other coders. Start working on different projects by using already written codes that were created by professional programmers. Participate in open-source models, access, and use source codes on public resources.
Find a certified Python course online and enroll. This approach can help tremendously to grasp the Python commands and boost skills with plenty of hands-on experience which is guided by experienced and licensed instructors.
Online classes for learning Python on Grinfer
Are you thinking about learning Python online? Look at the list of great courses available on the Grinfer learning platform!
This online course will take your Python programming skills to the next level by giving a good practical experience with tool development. During the coursework, you’ll be combining Regex and Python for achieving impressive outcomes. Also, this course teaches how to make Windows toast notification, modify and retrieve only required data, process clipboard elements, etc. Also, you’ll schedule scripts or tasks with Python, running Windows commands, and extracting the required data. All this knowledge will help you to reduce manual work by improving efficiency after all.
Python 3.8 – Milestones for a python programmer
This great online course provides solid basics and gives a good understanding of some of the exciting new features in Python 3.8. One of the reasons why this course is great – it is simple and easy to take. With this course, you’ll get ahead in Python programming without a headache. Here are just some of the topics you’ll learn with this course: walrus operator in Python 3.8, integer square root function support, iterator unpacking, reversible dictionaries, updating syntax warning, and more.
Automated Multiple Face Recognition using Python
Take this online course and you’ll know how to utilize a smash-hit AI-based technology created for computers to make them understand and recognize images. It is most commonly used in mobile devices now for face recognition and has a function of unlocking mechanism. You’ll see this technology used nearly everywhere – from stores to police and investigations surveillance. Also, this technology has proven effective for Medical Diagnosis and is even used for monitoring crops and livestock now.
Selenium Webdriver Using Python for Beginners
This online course was designed for absolute beginners. However, some knowledge of testing tools or at least an idea would be helpful. If you’re looking for ways to get a foot in the door of automation testing, this course will be a good one to take! You’ll study how to design automation test scripts, handle different scenarios in the browser, generate reports, etc.
Don’t think that this list of online courses above shows everything for learning and practicing with Python. If you visit Grinfer – the marketplace for online learning, you’ll see many more out there available for your learning journey. Start learning Python today with the Grinfer eLearning platform and take advantage of great knowledge provided by experienced and skilled instructors.