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What are the learning stages of Python?

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The learning stages of Python are: Learning the Basics like variables, control structures, Data structures, Syntax Tools and getting familiar with PPython Libraries.leaning about Frameworks like Django, Flask etc. and creating a website for yourself and working on projects that interest you and learning...
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The learning stages of Python are: Learning the Basics like variables, control structures, Data structures, Syntax Tools and getting familiar with PPython Libraries.leaning about Frameworks like Django, Flask etc. and creating a website for yourself and working on projects that interest you and learning through the process. Learning Data structures and Algorithms can also be of great help to you. It is to note that, Python is one of the most natural and most potent languages to pick up and as a beginner, you can start with Jupyter notebook available within the Anaconda package.

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Senior Software Engineer

Get used to Basic Python Syntax and Rules2. Get through OOPS in python3. Jump right-away into solving Data Structures and Algorithms problems using python4. Try some python based framework API5. Do a demystifying project You are good to go
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Before being specific for Python allow us to mention here the general stages for any programming language. This way you can approach every new language with this flow. Python is no different. 1. Syntax and Environment: This develops familarity with the language. This is essential to write small programs...
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Before being specific for Python allow us to mention here the general stages for any programming language. This way you can approach every new language with this flow. Python is no different.

1. Syntax and Environment: This develops familarity with the language. This is essential to write small programs as well as importantly read other programs (or library code). You are at a level where you will learn more from reading so understanding what is written is important so you have to be familiar with Keywords, Operators, Style [Indendations, Seperators (line end marks), defining modules (functions, class, modules, packages], Basic verification by reading and writing (printing) to screen (CLI).

Depending on your past experience with programming languages one shall surpass this stage pretty quickly (one week including confidence to write and solve small problems).

2. Communication: Once you are familiar with the previous stage the real fun and programming begins. Here you would start writing different small programs which communicate with each other via function calls to code snippets in other program (via exposed API) or via intermediate data store (ex. file, database). While your syntax familiarity is growing it is important you learn small design aspects like API design and it is also important to refine your code to make it better (clear and concise). At this level both your language skills are developing and comfort handling basic libraries is growing. Mostly the first libraries you pick-up at this stage are (ex. File I/O, DB I/O, any other data crunching or file handling libraries).

3. Language Strengths: This is the level of skills which are mostly put to use in professional atmosphere. The previous two stages can be looked upon as warm-up stage. Mostly the enterprise programs have the previous two levels masked behind some frameworks so you are essentially only making standard calls to the frameworks to get the stuff done and need not write the entire stuff again. This is a design practice so the code reuse and maintenance is optimum. Coming to this stage. At this stage your skills to address real life problems by designing solutions to those problems in form of your programs are being put to use. The language strenghts are explored here and so is your familarity with the language is at test and expanding. This is the level where depending on what language we are discussin Java, Python or anything else the core libraries provided by the language are put to use along side your own problem/domain specific code. Your code at this level is packaged into packages/modules/classes according and heavily uses the language libraries for addressing the problem at hand. As an example for Python your machine learning libraries or data science libraries will be used from the respective kits (libraries) imported in your code so your knowledge using the language strength (library/functions) is put to test here. Similarly for Java say you are using JavaFx/Swing to build UI your knowledge of the library is put to use here.

At level 3 you are heavily using level 2 and level 1 skills to progress your way into proficiency into a particular library. Python is expanding daily and your knowledge in one package/library is limited to the package until you do not use the other package/library. ex. If you are proficient in ML libraries that does not mean you cannot use the UI libraries just that you are not familira with how is the library structured and little efforts and practice you can easily scale-up provided your foundations at level 1 and 2 are in-place. If you look at the language evolution say Java/Python there are numerous new libraries being included every new release you cannot know all but with a structured learning and importantly practice using the libraries you can grasp and scale-up in the language with ease.

 

While this is about programming languages. We at Gunina work on multiple skill domains. Each of it has one thread to specialize in designing the course according to the skill level and pace of the learner. The incidental charges (fees) for training are strictly tied to the skill building. The skill building (training) is verified by the induction interview or tests (to check entry skill level) and exit tests, assignments and interviews (to confirm exit criteria). This ensures we could repeat necessary classes OR guide you further on essential practice to fill-in the gaps in understanding the skills which we are working to improve.

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you should start from scripting course. After that you can choose any one specialization and go for that. Python Specialization includes Web Development, Data Science,Machine Learning, IoT. Thanks
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