How To Learn Python With No Programming Skills Whatsoever
No doubt, the most commonly desired language for mastering web-based software is Python. The Django framework is quite popular and amongst the most downloadable. And, yes, it is based on Python too. Python also is great for building automation software, bioinformatics, analysis of blocks of data, natural language processing, or web crawlers.
What makes Python in-demand?
Python programmers consider the following factors as the major ones:
- Outstanding data structures – libraries, lists, dictionaries, sets.
- Used in different operating systems.
- Provides huge, as well as an effective standard library.
- Unifies coders and builds strong online communities.
- Excellent web framework.
But can you really learn Python fast with no programming skills whatsoever? If you decide to learn Python programming, you better get two main things straight: to know an exact purpose and stay patient just like all mountains do. Also, don’t rely on your passion or feelings that you might foster. Because they come and vanish randomly.
A better idea here would be to rely on continuous work while you are learning Python codes and processes. Additionally, it sounds bizarre but – find best approaches to learn! Try to vary your resources by deriving information from many materials like online courses on Python coding, books on how to study Python fast, Youtube series, tutorials, practicing by yourself. Read more in this blog post and find some useful info to your knowledge.
Can you learn Python without programming skills
Python is extensively acquired on a professional level. The Internet swarms with online resources that were established by knowledgeable coders to help newbies with Python. You’ll find plenty of helpful tech communities that talk about programming all day long, so take advantage of their knowledge and utilize online resources wisely.
Some experienced coders state that studying any code for programming is not as tough as it commonly thought. You only need to concentrate more on the flow of lines of code rather than trying to comprehend how codes are performing. This is especially important if the learner didn’t acquire any coding experience yet. First, try to comprehend the working of different loops and conditions. That way you’ll know how to write a code for a task you’re working on. Second, try to solve the problem on paper to have a more clear understanding of the code.
Here is an outline of a few effective approaches to follow:
- Obviously, installing Python is a good thing before you start.
- Get a Python paperback tutorial or any useful book about Python for newbies, or either find a couple of detailed tutorials on the Internet, or join IRC.
- Start doing hello world and then thinking of things you can build.
- Code little programs that do simple calculations. Take user entry in order to manipulate the data. Try importing a few more objects.
- Start getting comfortable taking user input for manipulating basic data. Look into Regex, and have a go while working with different data structures available in Python, see what they are good for. Determine when you can apply them in little programs that you’ve created.
- Realize there is much more to Python, so start looking at OOP, and learning classes methods and objects is good too.
- Use the interpreter a little to whip up a small chunk of code to test things out.
- Start keeping an eye for a meaty project you can get your teeth stuck into, learning about good code practices and browsing algorithm theory, asking around for what all these so-called Python libraries are.
- Look into frameworks and see whether you can start developing a website that does something useful. Learn and use frameworks like Django or the lighter framework Flask.
- Start doing tutorials on Django and keep practicing OOP and write a simple blog for familiarity.
How can I teach myself to code with Python
Python provides terrific features like cost-effective packages, built-in data structures that are of high-level, support modules, and others. Python is heavily used and very popular among corporate giants like Netflix, Google, YouTube, which run their platforms with a billion users successfully for years now. The stages of learning Python are a wonderful and fascinating process. Even seasoned pros will envy you once they find out that the pleasure of discovering it for the first time can never quite be recaptured.
Some steps to take while practicing Python:
- Search and find a simple but challenging task that would make you feel excited to resolve. A task that is relevant and has a useful meaning to you. Consider something you can utilize for quite some time.
- Don’t create an application which is not interesting personally to your ambitions, i.e address book application, blog application, etc. Those applications are mostly used as examples for learning Python. Losing interest in the app itself most likely will drive you to lose motivation fast.
- Break the app you’re working on into logical steps. Let’s say, you write an app to make screen scraping, here is a break down: connect to URL, read HTML script, find those elements which contain the text that you would like to scrape.
- Get a useful Python reference book (with more example codes rather than lengthy explanations), and learn how to use Python, for example, with the Visual QuickStart Guide (3rd Edition).
Go to coders forums or communities online to ask questions. Use this strategy of learning often, maybe you won’t know every syntax of Python, but it would produce a working code and strong motivation to deepen your understanding of Python.
Remember, mastery will need around 10,000 hours of coding, so take your step slowly.
Here is more information for you to look at:
- In general Natural Language processing, use NLTK for lemmatizing to get root words.
- In projects on brain image analysis, use obscure libraries like nibabel, fmri, mvpa for performing multivariate feature analysis.
- In speech processing, you needed to downsample mp3 recordings using ffmpg.
- In data gathering for most data science projects, you need to scrape data from different online sources (use BeautifulSoup).
- In any deep learning projects for object recognition, use Tensorflow and Keras.
Once you get the basics, do not hesitate to shift to advanced concepts. Dedicate like an hour a day to studies and practice with Python vigorously. Begin solving more difficult problems. Download projects off the net and study them. Find out how they perform, fiddle with them to understand them deeply, have fun playing with the code.
Try pair programming in which one person writes the code and is called a “driver” while the other person finds a solution to any problem that occurs in the code and also checks the code who is called “navigator”. Find any person with whom you could do pair programming with you. You two keep exchanging the position between you two this helps you get a lot of exposure.
Finally, when you have enough practical knowledge to start work on your creative project that you thought about before practicing programming skills. Investigate, explore, stay curious about CS. Remember to be up-to-date with new or upcoming technologies in Python. Try automating all the stuff you can do manually.
What can you do with Python
No secret, Python’s share in web development is huge and for that reason, businesses are very fond of coders who play with Python all the time and juggle multiple tasks delivering successful projects.
Other stuff you can do with Python:
- Python does an awesome job in GUI programming. This includes building processing apps for images, as well as complicated libraries. No matter that Python coding syntax is strict but it is pretty clean, especially when it comes down to supporting PySide (or wxWidgets). Python easily solves 2D projects and plays an effective role in 3D animation projects.
- Create numeric or scientific apps. Since Python became an effective solution for creating numeric apps, science projects. Python can modify and redistribute source codes. And can utilize such effective specialized modules like IPython or NumPy, etc.
- Management of data used in AI. Today, data engineers who specialize in AI are very much in demand by many corporations. Once you obtain good skills that allow sorting out enormous blocks of data, you’ll be all set and rock the world.
How long does it take to learn Python
If you learn Python programming and practice Python by writing software every day for 365 days straight, you’d be dramatically better than you’re right now. Truth be told, probably fewer than 5% of coders deliberately practice their craft on a daily basis learning everything that’s going on in the world of Python on the global scale. They get to a reasonable enough level to do their job and they start feeling too comfy, therefore, stop learning more. If you’ll get in the habit of practicing Python daily, consequently you’ll nail Python code down faster than the remaining 95% of coders. In your future career, these habits will become a remarkable advantage.
Learn Python programming by figuring out how to break down a problem into multiple steps, solve everything efficiently, and apply those steps across any code. Learn basic syntax like if/elif/else, while and loops, print statements, functions, etc. Then play around with cooler things in Python – lists, modules, etc.
Simply learning the Python programming language to be fairly comfortable with it will only take about 3 weeks. It will take much longer to practice with it daily. So, learn Python programming online, and make it the most useful tool ever.
Here is a quick chart for a fun read:
- 1 month: Okay, you’ve completed Grinfer’s courses on Python, you know the language all right.
- 3 months: Oh, there’s more modules come in Python by default, so you need to look at those modules, cause they might be helpful.
- 6 months: What is functools useful for? It’s just a copy of builtin behaviors.
- 1 year: Oh, generator expressions are here? Use functools for working with them.
- 2 years: you have finally mastered Python? Wait, are you sure?
Learn Python with Online Python Courses
Selenium Webdriver Using Python for Beginners
This comprehensive online course is aiming at complete beginners with no prior experience in coding practical skills. This course is good and beneficial for anyone who wants to learn the testing, as well as create awesome scripts. The coursework talks about the process of installing Python and Selenium. It teaches how to write automation test scripts, build various commands used for keeping browsers going, build reports, etc.
Data manipulation and visualisation in PYTHON and MS EXCEL
Take this useful online course created by Barbora Stetinova, a professional and experienced data scientist and analyst. During this course, you’ll focus on data exploration consisting of data visualization and data wrangling serving. The whole course consists of various hands-on practice with open-source data analyzing software MS Excel, reading, transforming, and visualizing.
Build and Deploy Lambda Functions: AWS with Python and Boto3
The course is built by a senior software specialist whose name is Niyazi Erdogan and who has 10+ years of practical work in different tech areas. After taking this course, you’ll be deploying functions written in Python, Java, and NodeJS Lambda with ease. You’ll be managing them with Python and Boto3.
Mastering Python is probably similar to mastering any language. It has more to do with mastering the fundamentals of programming than it does mastering a particular language. For being a master in coding you need to code every day, no matter which language you are coding in. Include coding in your daily routine, coding every day will slowly make you familiar with coding.
First, start with 25 minutes of coding every day and then slowly increase the time after every week. Build, create, design, optimize with Python. Play with codes every day consistently until every letter of Python code is hard wired into your head. Every time you learn anything new and fresh, try it out and develop your own style. Make little choose your own adventure games using if/elif/else. Make calculators using raw_input and int() statements.