So You Want to Learn Programming, You've Come to the Right Place. I will direct you to some curated resources which I have found very helpful for learning respective languages.I will divide Intro to Programming in two different sections - By Language and Complete Course From Scratch.
By Language

1. C Programming Language - For any language it is always better and more efficient to learn by doing. First of all to get a good grasp over this language, I would recommend referring to this YouTube Playlist from thenewboston. For textual reference refer 'The C Programming Language by Dennis Ritchie' by the Man himself. As for practicing while learning use HackerRank Platform. Solve the problems in C Language Proficiency and Problem Solving Challenges Section while learning to improve your C skills. And voila you now know How and from Where to get good. Only thing now remaining is for you to get started.
And If you want to witness the real power of C, Heres a link.
Some more Websites : Codechef, Topcoder.

2. C++ - The way I learnt C & C++ in the beginning was through this playlist from bucky's playlist. As foresaid same for C++, Practise is the key. Go through HackerRank Platform for practising. The real power of C++ is the Standard Template Library(STL), There aren't many video tutorials for STL available, heres one from Rachit Jain demonstrating the power of STL.
HackerEarth's guide to STL - Link. STL is a very powerful tool if you are into competitive programming. Good Luck! You're good to Go.

3. Python - Python is the fastest growing Language with applications ranging from creating games, web applications to web server applications. One notable resource is the Python For Everybody from Michigan University, It is a specialization consisting of 5 courses, this course is good for beginners with little or no experience to Programming. If you are an experienced Programmer I would just recommend going through this series of Jupyter notebooks. Another Interesting Tutorial Series - Automate the Boring Stuff with Python.
After you have mastered the basics of Python, here is a list of libraries. Explore! Good luck!

Full Course:
The most amazing flagship course I ever took and I recommend to Everybody is HarvardX's Introduction to Computer Science on edX. It is the same course which is taught on the Harvard Campus by Professor David J. Malan. The course has 10 weeks and starts with simple Scratch and ends with building a final Project. The course focuses more on critical thinking and developing logic and finding patterns in every aspect of a problem. Starting with Scratch, the course transitions to implementing complex data structures in C then to implementing them in Python in few lines of code. The full course teaches you : Scratch, C, Python, SQL, Flask. The course is absolutely free for audit on edX. The assignments are very much fun and the way of teaching of David Sir is very interesting and unique. I would highly recommend this course if you are an absolute beginner.

Course Platforms : EdX, Coursera, Udacity, Udemy, FreeCodeCamp
Software, Blogs a Programmer should be aware of : Slack, Github, Medium

HTML, CSS, Bootstrap, JavaScript, Jquery. Everything in One place.
Essential CSS Tricks website.
Refer stackoverflow for questions (The question you have is already probably answered there).

Web Frameworks:
1. Flask - is a micro Python web framework which can be used to create web applications. Flask is easy to learn than Django. Python Experience is Required. Refer Programming track for learning resources on Python. Flask tutorial playlist

2.Django - It is an open source Python framework same as Flask which provides easy development of database- driven websites without need of reinventing the wheel, (For eg. Creating a Web Server from scratch or a Login functionality). Unlike Flask Django has a steeper learning curve because it follows a Model-Template-View Architectural Pattern. It is necessary to have a good Python knowledge, Refer Programming Track for Python resources. For starting out with django start with this set of tutorials from Corey Schafer - most clear and concise tutorial I have ever seen of Django. For blogs to refer I recommend this one. This blog contains all you need to get your web application up to speed from implementing multiple user types to google authentication.

If you still don't find what you're looking for Documentation of Django or Flask and stack overflow are your best friends.

Before Proceeding any further Read this Medium Post from Adam Geitgey and another good post series. As he mentions in the post, Andrew Ng's free Machine Learning Course is highly recommended for anyone with background of high school mathematics. If you need to brush up on your maths, this a good course or if you prefer a book for reference, heres' one. A tip for anyone taking the course, use the discussion forums of coursera extensively, you would find very helpful resources. Professor Andrew Ng explains each concept very intuitively , so I doubt you would have to take any external supplements to understand the course content. The course teaches you in MATLAB/OCTAVE. After you complete the course implement the algorithms you learnt in Python from scratch so that you have a good grasp on the machine learning algorithms. For resources for Python Check Programming Track.
A really short and sweet course from the University of Finland - Link.
A good Handbook for libraries of python - numpy, pandas, matplotlib and scikit-learn, you can find an alternative to this on kaggle too.

Frameworks for Machine Learning:
1. Tensorflow - Intro to Tensorflow.
2. PyTorch - Intro to Deep Learning with PyTorch.
A complete Roadmap to Machine Learning - Link.

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